Technology Enterprise Software & IT Enterprise Applications

Supply Chain Execution Software

Platform decisions with deep integration complexity, organizational change, and long-term data stakes.

Manhattan Associates Blue Yonder Körber SAP
Inside this journey
  1. Pre-Discovery

    Align decision makers, success metrics, and pilot constraints before deep evaluation.

    1. Stakeholder Alignment

      Confirm executive success metrics, decision roles (VP, CIO, CFO), pilot constraints, and timeline for the 60-day sandbox evaluation.

      Alignment Questions

      Quick Grounding — Where Are We Starting?

      • Which distribution center, region, or business unit will run the 60‑day sandbox?
      • Who is our primary day‑to‑day contact for the pilot (name, role, preferred contact method)?
      • Which executive is sponsoring the evaluation and who will be the VP-level champion driving the decision? Options: VP of Supply Chain / Distribution, CIO, Head of Operations, Head of Fulfillment, Other
      • Roughly how many orders and SKUs does this DC process on a typical day and at peak?
      • Do you already have a preferred 60‑day window in mind for the sandbox, or are you open to proposal? Options: We have specific dates, Open to proposal, Need to coordinate with IT/calendar, Unsure

      If This Breaks Again, Who Gets the Call?

      • When a fulfillment failure occurs today (late shipments, spikes in mispicks, or backorders), who within your org feels the immediate pressure? Options: VP Distribution, CIO/IT, CFO/Finance, Head of Customer Service, CEO/Founder, Operations Manager
      • Tell us about a recent breakdown that reached the executive level—what happened, how long did it take to surface, and what was the business impact (revenue, fines, customer churn)?
      • How do those incidents translate into measurable costs or penalties for your business? Options: Chargebacks/penalties, Lost sales/returns, Expedited freight, Customer churn/complaints, Executive time/brand damage
      • Which SLA or customer promise is most fragile right now and would be the first to fail under higher volume? Options: Ship-by date, On-time delivery, Order accuracy, Same-day fulfillment, Appointment/delivery windows, Other

      What Does ‘Success’ Look Like for Each Executive?

      • If you had to name the single most important metric that convinces the VP of Distribution this is working, what would it be (and target value)? Options: Pick rate (picks/hour), Order accuracy (%), Throughput (orders/hour), Labor productivity (units/hour), Other
      • How will the CIO evaluate technical success—what integration depth or data fidelity must be proven in the sandbox? Options: One-way order export, Bi-directional sync, Real-time API integration, Batch ETL only, Other
      • For the CFO: what payback timeline and ROI threshold would make this a go‑forward investment (e.g., payback < 12 months, IRR %, or NPV target)? Options: Payback < 6 months, Payback 6–12 months, Payback 12–24 months, Payback > 24 months, Specific IRR/NPV target
      • Beyond raw numbers, what qualitative signals would convince each executive—e.g., reduced escalations, simpler vendor consolidation, or visible floor‑level adoption? Options: Fewer escalations, Simpler vendor stack, Cleaner operational reporting, Improved floor morale, Shorter decision cycles, Other

      Where Your ERP Is Really Hitting the Ceiling

      • Which ERP/order management system is the source of truth today for orders and inventory? Options: SAP ECC / S/4HANA, Oracle (EBS/Cloud), Microsoft Dynamics, NetSuite, Custom/Proprietary, Other
      • Describe one specific operation the ERP performs today that you believe is causing the most friction (wave planning, putaway, labor allocation, cartonization, carrier selection, etc.).
      • How real‑time is your order and inventory data—are you operating on near‑real time, hourly batches, or end‑of‑day snapshots? Options: Real‑time / APIs, Near‑real time (minutes), Hourly batch, Daily batch, Ad hoc extracts
      • What integration touchpoints must we validate in the sandbox to prove feasibility (examples: order ingestion, confirmations, ASN, inventory sync, carrier tender)? Options: Order ingestion, Inventory sync, ASN / shipment confirmation, Carrier tenders / rates, Billing / invoicing, Yard status
      • Are there internal policies or customizations within the ERP that will affect how we map orders and fulfillments in the sandbox? Options: Heavy customizations, Moderate configuration, Vanilla implementation, Legacy manual processes, Unsure—need to investigate

      The 60‑Day Sandbox — Your Non‑Negotiables and Hidden Rules

      • If the sandbox could only prove three things to get a pilot extension or purchase, what three proofs would you insist on?
      • Which acceptance criteria must be met for the sandbox to be declared successful (pick rate uplift, accuracy delta, labor hours saved, cartonization rate, carrier SLA attainment)? Options: Pick rate uplift, Order accuracy improvement, Labor hours reduction, Cartonization efficiency, Carrier on-time %, Other
      • What constraints must the sandbox respect (no changes to live WMS, limited access to production data, masked PII, specific audit requirements)? Options: No production changes, Masked/obfuscated data, Read-only access, Full API access allowed, Limited user roles only
      • Are there any compliance, security, or legal gatekeepers that will need to sign off before we access historical order data for the sandbox? Options: Security/InfoSec, Privacy/Data Protection, Legal, Procurement, No gatekeepers
      • What would be a dealbreaker that would end the evaluation prematurely? Options: Cannot access required data, Unresolvable integration issue, Executive withdraws sponsorship, Unacceptable security risk, Budgetary freeze

      Who Holds the Keys — Decision Roles and Influence Maps

      • List the individuals or roles that must approve a purchase after the sandbox (name and role if possible).
      • Which role will have final sign‑off on commercial terms and who will own the budget for the multi‑year license? Options: VP Supply Chain, CFO/Finance, Procurement, IT/CIO, Other
      • How does your internal approval process generally work—consensus across stakeholders, single approver, or procurement-driven negotiation? Options: Consensus across stakeholders, Single approver, Procurement-led, Legal-led, Other
      • Who is likely to be skeptical of replacing ERP-embedded warehouse logic, and what evidence would persuade them?
      • Are there external partners (3PLs, carriers, integrators) whose buy‑in will be required during or after the pilot? Options: 3PL partners, Major carriers, Systems integrator, Consulting partners, None

      What Could Go Wrong — Risks You’re Quietly Worried About

      • If the pilot underdelivers on the metrics you care about, what immediate actions will your team take? Options: Abort pilot, Extend sandbox, Engage SI/consultant, Revert to legacy processes, Other
      • Which operational dependencies outside our control could cause the sandbox to fail (seasonal peaks, headcount shortages, major promotions, ERP upgrade windows)? Options: Seasonal peak/holiday, Staffing shortages, ERP upgrades, Vendor outages, Unplanned site events
      • How comfortable is your operations team with running a parallel process where both systems process orders for a period? Options: Very comfortable, Somewhat comfortable, Need training, Uncomfortable / risk-averse
      • What contingency budget or resources (people/time) have you set aside should integration or data issues require extra effort? Options: Dedicated SI budget, Internal IT hours, Contingency funds, No contingency planned, Unsure

      Integration Reality — Mapping the Technical Steps

      • Which specific data feeds or APIs do we need to validate during the sandbox (order headers, line items, inventory on hand, inventory reservations, carrier rates)? Options: Order headers, Order line items, Inventory on hand, Inventory reservations/holds, Carrier rates/tenders, ASN/status updates
      • Who will own the integration work on your side and do they have capacity for sprint-based testing during the 60 days? Options: Internal IT team, ERP support vendor, Third‑party integrator, No owner identified yet, Other
      • Are there any middleware or EDI gateways we must route through, or can we connect directly via APIs or SFTP extracts? Options: Direct APIs, SFTP batch extracts, Middleware/ESB, EDI gateway, Other
      • How will we validate data parity—what sample size or peak-day scenarios should we run to be confident the sandbox reflects real operations? Options: 60 days historical, Recent peak-day(s), Randomized sample, Full dataset, Unsure—need guidance
      • What security or compliance checks must we pass before accessing data (SOC2, encryption, IP restrictions, vendor risk assessment)? Options: SOC2, ISO 27001, Data encryption, Vendor risk assessment, Other

      People, Process, and the Floor — Adoption Signals to Watch

      • How do you currently train floor staff on process changes and how long does the average ramp to competence take? Options: Formal classroom + shadowing, On‑the‑job training, Video/manuals only, No formal training
      • What behavioral signals would show us early that operators are adopting the new workflows (reduced manual overrides, fewer supervisor interventions, scan compliance)? Options: Fewer overrides, Higher scan compliance, Lower supervisor interventions, Improved cycle times
      • Are there union, labor rule, or hourly/shift constraints we must respect during the pilot? Options: Union rules, Strict shift schedules, Flexible scheduling allowed, Overtime limited, None
      • Who will be responsible for day‑to‑day change management during the sandbox (trainer, ops lead, program manager)? Options: Trainer, Ops lead / DC manager, Program manager, IT change manager, Other
      • If adoption is slower than expected, what incentives or governance will encourage faster uptake (bonus, rate card, executive review)? Options: Operator incentives, Supervisor KPIs, Executive escalation, Extra training resources, Other

      Commercial & Governance — What Will Seal the Deal?

      • What procurement processes or contractual terms are non‑negotiable from your side (payment terms, SLAs, liability caps)?
      • What governance cadence do you expect during the 60 days (weekly steering calls, daily war room, milestone demos)? Options: Weekly steering, Bi-weekly, Daily during cutover, Ad hoc as needed, Other
      • Which commercial signals would shorten your decision cycle (pre-approved budget, a smaller pilot fee, reference visits)? Options: Pre-approved budget, Reduced pilot fee, Executive reference check, Proof-of-concept extension, Other
      • Who will own the post-pilot business case and what format does the CFO prefer (cost-savings only, full ROI model, TCO uplift analysis)? Options: Cost-savings summary, Full ROI model, TCO comparison, Payback analysis only, Other
      • Are there internal procurement or legal milestones we should schedule now to avoid delays after a successful sandbox? Options: Procurement checklist, Legal review, Budget approval, Executive sign-off, None / Unsure

      Clear Next Steps — What We Need from You to Start

      • What are the top three actions your team can commit to this week to keep the sandbox timeline intact?
      • Which person or email should we send the integration checklist and initial data request to?
      • Do you want us to prepare a tailored sandbox plan that includes peak‑day scenarios and the exact acceptance criteria for each executive? If so, who will review it? Options: Yes—please prepare, Not yet—need more info, No
      • How soon can your IT/security team complete a vendor assessment so we can request data access (typical windows: 1–2 weeks, 2–4 weeks, 4+ weeks)? Options: 1–2 weeks, 2–4 weeks, 4+ weeks, Unknown / need to check
      • Would you like a short executive one‑pager that maps sandbox proofs directly to the VP/CIO/CFO decision criteria for use in your steering meetings? Options: Yes—please send, Maybe—after initial scoping, No
    2. Current State Mapping

      Document warehouse failure modes, ERP limitations, throughput and accuracy baselines, and integration touchpoints.

      Current State

      Walk Me Through a Typical Shift in Your DC

      • How many orders does this distribution center process on an average day? Options: < 5,000, 5,000–10,000, 10,000–20,000, 20,000–50,000, > 50,000
      • Which shifts or hours drive the peak load we should model in the sandbox? Options: Single peak shift, Two peak shifts, Short midday spike, Evenly distributed, Weekend peaks
      • Which systems are actively used on the floor today (select all that apply)? Options: ERP embedded WMS module, Legacy WMS, Point WMS, TMS (separate), Yard system, Labor module, Homegrown scripts/tools
      • Describe your order mix—% of single-line vs multi-line vs parcel vs LTL shipments (brief breakdown).
      • How would you summarize the morale or daily friction on the floor when volume is high? Options: Calm and controlled, Tense but manageable, Regularly stressed, Chaotic during peaks

      What's Failing When It Matters Most?

      • When customers see delivery failures, which single process or system do you instinctively point to as the root cause? Options: Carrier selection/labeling, Picking accuracy, Order orchestration in ERP, Packing/cartonization, Slow throughput
      • Which failure modes occur most often? Select all that apply and estimate frequency. Options: Late shipments, Mispicks, Over-fulfillment, Under-fulfillment/backorders, Wrong carrier or service, Labeling errors
      • Give one recent incident where a fulfillment breakdown reached an executive or customer-facing channel—what happened and what was the downstream impact?
      • How much additional cost or lost revenue do you estimate these failures create (monthly or per peak period)? Options: < $10k, $10k–$50k, $50k–$250k, $250k–$1M, Unknown / need help calculating
      • Who on your team currently owns tracking and reporting of these failure modes? Options: DC Operations Manager, VP of Distribution, Head of Customer Care, IT/ERP Team, Third-party logistics partner, Other

      How Deep Is Your ERP's Blind Spot?

      • If your ERP is the 'source of truth', where does it fail to orchestrate physical work in the warehouse? Options: Real-time wave rebalancing, Directed putaway and slotting, Labor optimization, Cartonization and packing logic, Multi-carrier rate shopping
      • Describe the ERP warehouse module’s cadence—does it operate in real time, near real time, or batch? How often are orders pushed/pulled? Options: Real time (API/events), Near real time (frequent sync), Scheduled batch (hourly), End-of-day or manual exports
      • What integration methods does your ERP expose today for order and inventory exchange (pick all that apply)? Options: REST API, SOAP API, EDI, SFTP/CSV batch, Database replication, Message broker/ESB, None / manual
      • Are there any customizations in your ERP that alter how orders are released, split, or cancelled that we should know about? Options: Significant customizations, Minor customizations, Standard config only, Unsure—would need to check
      • How often do ERP-related delays (e.g., order release lag, missing SKUs) directly cause missed ship windows? Options: Daily, Weekly, Monthly, Rarely, Never

      Where Throughput and Accuracy Fall Apart

      • When volume spikes, which metric collapses first—throughput (picks/hr), accuracy, or labor utilization—and why do you think that happens? Options: Throughput, Accuracy, Labor utilization, Depends on the day
      • What are your current baseline metrics for peak-day performance (picks/hour per operator, order accuracy %, lines per hour)? Please provide numbers if available.
      • What are the threshold targets you would consider a successful improvement for the pilot (pick rate, accuracy, labor efficiency)?
      • How predictable are your peak events—do they follow known seasonality, promotions, or are they emergent/unexpected? Options: Highly predictable (seasonal/promotions), Semi-predictable, Mostly emergent/unexpected
      • Which physical constraints amplify failures (narrow aisles, mixed case complexity, staging areas, packing bottlenecks)? Options: Narrow aisles, High SKU velocity variance, Limited packing stations, Insufficient staging, Scale limitations in conveyors/sorters, Other

      What Integration Touchpoints Could Break the Pilot?

      • Which single integration point worries you most for a 60‑day sandbox: order feed, inventory sync, carrier handoff, or acknowledgement flows? Options: Order feed, Inventory sync, Carrier handoff/labels, ASN/fulfillment acknowledgements, Billing/chargebacks
      • List the exact data elements and cadence we must consume or provide for the sandbox (e.g., order header, order lines, ship-to, promised date, inventory by bin).
      • Who is the technical owner for each touchpoint (ERP owner, middleware, network ops, 3PL) and who will provide access for the sandbox?
      • What middleware or integration layers sit between your ERP and floor systems today (select all that apply)? Options: iPaaS (Mule/Boomi), Custom ESB, Flat file FTP jobs, Direct API connections, No middleware / direct DB
      • Do you have a sandbox/QA ERP instance we can integrate with, or will we need to operate against production with read-only extracts? Options: Dedicated sandbox instance, QA environment with limitations, Read-only production extracts, Full production access required

      Who Pays Attention When Things Go Wrong?

      • If a pilot day shows accuracy slipping by 2–3 percentage points, who gets notified and who makes the call to pause or change scope? Options: DC Ops Manager, VP Distribution, CIO/IT, CFO, Customer Support/CS
      • What governance cadence would you prefer during the sandbox—daily standups, weekly KPI reviews, or event-driven escalation? Options: Daily standups, Twice-weekly syncs, Weekly KPI reviews, Event-driven only
      • What are the CFO’s minimum acceptance signals for this pilot to be considered in commercial modeling (payback window, labor savings %, error reduction)?
      • Who will be the single executive sponsor for the pilot and who will act as the integrator/point person day-to-day?
      • How do you prefer success to be reported during the pilot—raw logs and dashboards, executive summary, or both? Options: Real-time dashboards, Daily executive summary, Weekly deep-dive reports, Both dashboards and executive summaries

      If We Could Change One Thing Overnight, What Would It Be?

      • Imagine one operational constraint disappears tomorrow—what single change would most improve throughput or accuracy?
      • Which outcome would justify a rapid go/no-go decision after the 60‑day sandbox (specific % improvements or $ savings)?
      • What sandbox acceptance criteria would make your CIO comfortable advancing integration beyond the pilot? Options: No data loss / consistent OTAs, APIs validated for scale, End-to-end fulfillment traceability, Security/compliance validated
      • If change management fails on day 30, what are the leading causes you’ve seen historically (training, UX, incentive misalignment)? Options: Insufficient training, Poor UX for floor staff, Leadership misalignment, Incentive/performance conflicts, Integration flakiness
      • What would a low-friction pilot look like to your frontline teams—parallel run with same orders, shadow mode, or phased cutover? Options: Parallel run (dual processing), Shadow/simulated run, Phased roll by zone, Immediate cutover

      The Risks You Know — And The Ones You Don't

      • What single risk would keep you up at night during a 60-day sandbox (data integrity, security, carrier failures, or adoption)? Options: Data integrity/quality, Security/compliance, Carrier/labeling errors, Frontline adoption, ERP integration failures
      • Please identify known technical constraints (rate limits, missing data fields, latency SLAs) and how often they surface.
      • Which compliance or audit requirements must the sandbox meet (PCI, SOC, customs, retailer SLAs)? Options: PCI/DSS, SOC2, Customs/Trade, Retailer-specific SLAs, None / internal only
      • Which operational risks are most underestimated internally (e.g., temporary labor skill gaps, inaccurate bin locations, seasonal SKU churn)?
      • What contingency plans do you already have for integration failures or unexpected data gaps during a pilot? Options: Fallback manual process, Extended support window, Rollback to ERP-only, No plan / ad-hoc

      Let’s Make The Sandbox Real—Who, What, When

      • Who will be on the core pilot team from your side (names/roles): integration lead, ops lead, data steward, exec sponsor?
      • Which 60 days of order history should we use for the sandbox and are there special dates (promotions/peak events) we must include? Options: Most recent 60 days, 60 days including last peak season, Custom 60-day window (we'll specify), Unsure—need help selecting
      • What minimum dataset can you commit to providing and by what cadence (order history, inventory by bin, carrier manifests, item master)?
      • What is your desired go/no-go decision date after the sandbox completes? Options: Immediate thereafter (0–7 days), Within 2 weeks, Within 30 days, Longer / undecided
      • Is there anything else we haven’t asked that would materially affect the sandbox scope or acceptance criteria?
  2. Outcome Discovery

    Define target pick rates, order accuracy, labor productivity improvements, and CFO payback criteria for ROI modeling.

    Discovery Questions

    Setting the Table: Quick Snapshot

    • What's your role and how are you involved with this distribution center or network? Options: VP, Supply Chain/Distribution, CIO/IT Leader, CFO/Finance Leader, Head of Operations, Warehouse/Distribution Manager, Site/Plant Manager, Other (please specify)
    • How many orders does this site typically ship on an average day and on a peak day? Options: <1,000 avg / <2,000 peak, 1k–5k avg / 2k–8k peak, 5k–10k avg / 8k–15k peak, 10k–20k avg / 15k–30k peak, 20k+ avg / 30k+ peak
    • What ERP/WMS stack is currently running the order orchestration and which parts do you consider underperforming?
    • Are you currently planning or committed to a 60‑day sandbox evaluation for a new execution platform? Options: Committed and scheduled, Committed but not scheduled, Evaluating options, Not yet started
    • Briefly, tell us about the last time a fulfillment failure became visible to your customers—what happened and who raised the alarm?

    Are You Settling for 'Good Enough'?

    • If these fulfillment breakdowns repeat next peak season, what is the real business cost (dollars, lost customers, executives’ attention)?
    • Which failure mode feels most out of control today: late shipments, mispicks, backorders, or throughput collapse under peak load? Options: Late shipments / missed SLAs, Mispicks / accuracy drops, Backorders / inventory mismatch, Throughput collapse on peak days, Multiple of the above
    • How often are these high‑impact failures happening today? Options: Daily, Weekly, Monthly, Only during peak events, Rare/one-off
    • When these issues happen, how does it feel internally—embarrassing, urgent, tolerated, or something else? Options: Urgent and escalated to execs, Embarrassing but contained, Tolerated as business-as-usual, Triggersorganizational changes, Other (please explain)
    • Which customer segments or channels suffer most when these breakdowns occur (e.g., e‑commerce, store replenishment, B2B)? Options: E‑commerce/consumer, Retail store replenishment, B2B/wholesale, Marketplaces, Omni-channel mix, Other

    Where the Numbers Actually Hurt

    • If you had to name one metric that would determine whether this DC keeps running under the current model, what is it? Options: On-time shipments (%), Order accuracy (%), Picks per hour per person, Cost per order, Throughput (orders/hour), Inventory accuracy (%)
    • What is your current baseline for picks per hour (average across shifts)? Options: <50 picks/hr, 50–80 picks/hr, 80–120 picks/hr, 120–160 picks/hr, 160+ picks/hr
    • What is your current order accuracy percentage (line-level or order-level)? Options: <95%, 95–97%, 97–98.5%, 98.5–99.5%, 99.5%+
    • How do you currently measure labor productivity (picks/hr, orders/hr, cost per order)? Please share the metric you use and the value.
    • What target pick rate and order accuracy would make this pilot a clear operational win for your operations team? Options: Pick lift 10–20%, Pick lift 20–40%, Pick lift 40%+, Accuracy to 99%+, Accuracy to 98–99%
    • What CFO payback threshold (months to payback or other financial criteria) would be required for a rollout decision? Options: Payback <6 months, Payback 6–12 months, Payback 12–24 months, Payback >24 months, Requires IRR/NPV model (specify)

    Who Holds the Keys (and What's at Risk)?

    • If the CFO said 'no' unless you hit a specific payback window, how would that reshape your operational targets or pilot scope?
    • Who will make the final decision to purchase and who signs on rollout funding? Options: VP Supply Chain/Distribution, CIO/Head of IT, CFO/Finance, COO/Operations, Procurement, Other (please list)
    • Who will own ERP integration work and data extracts during the sandbox? Options: Internal IT/Integration team, Third‑party systems integrator, ERP vendor professional services, Shared responsibility (Vendor + IT), Other
    • What availability and time commitment can your operational SMEs and IT commit to the 60‑day pilot (hours/week)? Options: >20 hrs/week, 10–20 hrs/week, 5–10 hrs/week, <5 hrs/week
    • What are the non‑negotiable risks or constraints (data security, blackout windows, union rules) we must plan around?

    If This Worked Perfectly, What's on the Scoreboard?

    • Imagine a pressable business outcome after rollout—what single metric would you most want to celebrate publicly?
    • What percentage uplift in labor productivity would you consider transformational for this site? Options: 5–10%, 10–20%, 20–35%, 35%+
    • What absolute order accuracy rate would remove most operational headaches for your customer service and finance teams? Options: 97%+, 98%+, 99%+, 99.5%+
    • Besides labor and accuracy, which business outcomes matter most to your leadership? Options: Reduced expedited freight cost, Lower returns/chargebacks, Higher on-time in-full (OTIF), Improved inventory visibility, Reduced overtime, Other
    • How quickly do you expect improvements to translate into financial results (months after go‑live)? Options: Immediately (0–3 months), 3–6 months, 6–12 months, 12+ months

    What Must We Prove in the 60‑Day Sandbox?

    • If we could only demonstrate three outcomes in the sandbox that would convince your CFO, which three would they be? Options: Pick rate uplift, Order accuracy improvement, Labor cost per order reduction, Throughput at peak, Carrier cost reduction, Measurable ROI within target months
    • Do you have at least 60 days of historical order and fulfillment data available for sandbox use? Options: Yes — full dataset ready, Partial — some extracts ready, No — need help extracting
    • Which peak-day scenarios must be included in the sandbox (select all that apply)? Options: Black Friday/Cyber Monday, Holiday peak week, Single-day flash sale, BOPIS/Store pickups surge, Inbound supply disruption scenario, High returns day
    • Which modules do you require demonstrated in the sandbox to consider the pilot valid? Options: WMS (pick/put), TMS (parcel/LTL planning), Yard management, Labor management & optimization, Cartonization/boxing, Slotting/velocity-based putaway
    • What acceptance thresholds for pick rate, order accuracy, and labor improvement do you want documented before declaring pilot success?
    • Do you require that the sandbox run in parallel against live orders (shadow mode) or is a replayed/historical simulation sufficient? Options: Parallel live operations (shadow), Historical replay/simulation, Combination of both, Undecided

    Why Have Past Pilots Stalled?

    • What was the single biggest reason a prior pilot or project did not scale at your company?
    • Which of these root causes have you experienced before? Options: Delayed integrations, Insufficient SME time, Data quality gaps, Change management resistance, Commercial/contract issues, Technology performance at scale
    • Have you previously run pilots that required ERP integration? What went well and what broke down? Options: Yes — integrated successfully, Yes — integration failed/delayed, No — haven’t integrated before
    • How would you rate your org’s change readiness for new floor-directed workflows? Options: Highly ready — frontline eager, Moderately ready — some resistance, Low readiness — significant change required, Unsure
    • What governance cadence (meetings, KPIs, escalation path) proved effective or missing in past pilots?
    • What budget approvals or sign‑off thresholds historically delayed pilot-to-rollout decisions?

    Small Bets That Build Confidence

    • If we designed one low-risk test in week one that would earn executive trust, what should it prove?
    • Which data extracts can your team share within 2 weeks to start the sandbox? Options: Order history (60 days), Inventory snapshot, ASN / inbound receipts, Carrier manifests and rates, Labor timesheets & productivity, Facility layout and slotting rules
    • Who will be our primary day‑to‑day point of contact and who needs executive visibility during the 60 days? Options: Site Operations Leader, VP Supply Chain, CIO/IT Lead, Finance Owner (CFO delegate), Third‑party integrator contact, Other
    • How soon can you commit to a sandbox kickoff once access is granted? Options: Within 1 week, 1–2 weeks, 2–4 weeks, More than 4 weeks
    • Would a joint success plan with weekly KPIs and a CFO-ready ROI dashboard make you more comfortable committing to a pilot? Options: Yes — absolutely, Maybe — depends on scope, No — not necessary
    • Are there any legal, procurement, or commercial guardrails that would block the pilot or constrain its scope?
  3. Solution Experience

    Use the customer’s historical orders and peak-day scenarios to demonstrate how the platform sustains throughput, accuracy, and labor targets in the sandbox.

    Experience Meetings

    • Solution Experience Kickoff — Current State & Success Criteria
    • Data & Scenario Preparation Workshop
    • Sandbox Simulation — Controlled Peak-Day Run (Live Observation)
    • Results Analysis & CFO Business Case Review
    • Stakeholder Validation & Pilot Acceptance
    • Agree on remediation steps or sign-off to progress to pilot planning.
    • Produce run artifacts (dashboards, logs, sample pick flows) that demonstrate whether targets are met under peak stress.
    • Show direct remediation of key failure modes and quantify time-to-recovery improvements.
    • Elicit immediate validation from operations, IT, and finance stakeholders on whether the observed behavior matches needs.
    • Identify any data or configuration gaps that require a re-run or adjustment.
    • Seller: Export timestamped KPI reports, event logs, and sample pick/ship traces for post-run analysis.
    • Customer Ops: Review observed workflows and flag any deviations from expected floor behavior.
    • Seller: Document any configuration changes applied during the run and their rationale.
    • Customer IT: Confirm whether any integration behaviors observed require changes to ERP order management mapping.
    • Executive Summary of Sandbox Results
    • Validate whether sandbox results meet acceptance criteria and identify any blockers.
    • Deliver a CFO-ready business case with a documented payback period and sensitivity ranges.
    • Introductions & Meeting Objectives
    • Seller: Produce the final sandbox results report with annotated proof points, root-cause notes, and a CFO-facing ROI deck.
    • Customer Finance: Provide any missing cost inputs (labor blended rate, cost-per-error) to finalize payback calculation.
    • Seller & Customer Ops: If required, schedule a targeted re-run window with corrected data or configuration.
    • Executive Summary & One-sentence Future State
    • Obtain executive sign-off to proceed to the 60-day pilot or a narrowly scoped re-run if needed.
    • Agree pilot acceptance criteria, owners, and governance cadence for the evaluation.
    • Secure CFO concurrence on the business case inputs and payback expectations.
    • Seller: Circulate formal sandbox acceptance summary and pilot statement-of-work for signature.
    • Customer: Assign pilot sponsor, DC owner, IT integration owner, and training lead and share contact information.
    • Seller & Customer: Schedule pilot kickoff and publish parallel-run cutover plan and training dates.
    • Produce and agree a single one-sentence current-state summary to anchor the experience.
    • Quantify the business consequence of the current failure modes for urgency.
    • Define precise future-state KPI targets and acceptance criteria the sandbox must prove.
    • Confirm data owners, delivery dates, and the sandbox run timeline.
    • Customer: Provide baseline KPIs (current pick rate, order accuracy, throughput profile, labor cost per hour) and a one-paragraph description of failure modes.
    • Seller: Draft and circulate the one-sentence current-state statement and proposed acceptance criteria for customer sign-off.
    • Customer: Assign data and IT contacts and provide sandbox access credentials by the agreed date.
    • Pre-work Review & Data Inventory
    • Confirm all required datasets, owners, and delivery dates for sandbox ingestion.
    • Agree on precise peak-day and failure-mode scenarios to execute in the sandbox.
    • Finalize ETL mapping rules and baseline validation checks to ensure data fidelity.
    • Lock sandbox configuration checklist and schedule the run windows.
    • Customer: Deliver 60 days of PII-redacted order history, scan logs, labor schedules, DC layout and carrier rules to the ingestion endpoint.
    • Seller: Provide ETL mapping document and sample transformed dataset for customer validation.
    • Customer IT: Grant sandbox access and verify connectivity to required source systems.
    • Seller: Schedule the controlled peak-day run windows and share runbook with attendees.
    • Recap One-sentence Problem & Targets
    • Run: Baseline Throughput Simulation
    • One-sentence Current State
    • Field Mapping & Transformation Rules
    • Deep-dive: Misses & Root Cause
    • KPI vs Acceptance Checklist
    • Run: Peak Multiplier Scenario
    • CFO Payback Confirmation
    • Scenario Definition: Peak-day & Failure Modes
    • Consequence & Cost
    • Translate Operational Gains into CFO Inputs
    • Sensitivity & Risk Assessment
    • Define Future State Targets
    • Pilot Scope, Responsibilities & Governance
    • Run: Failure-mode Injection & Recovery
    • Baseline Validation Plan
    • Sign-off & Next Administrative Steps
    • Sandbox Configuration Checklist & Schedule
    • Decision & Next Steps
    • Proof-point Walkthroughs
    • Acceptable Scope & Success Criteria
  4. Solution Scope

    Specify modules (WMS, TMS, Yard, Labor), sandbox data requirements, integration points, and measurable acceptance criteria for the pilot.

    Scope Configuration

    • Deploy Continuous Wave and Slotting Engine
    • Enable Dynamic Pick Path Optimization
    • Implement Velocity-Driven Slotting
    • Implement Directed Putaway Automation
    • Activate Multi-Carrier Rate Shopping
    • Deploy Native Transportation Planning and Tendering
    • Deploy Yard Visibility and Gate Management
    • Activate Labor Optimization with Task Interleaving
    • Deploy Cartonization and Pack Optimization Engine
    • Integrate ERP Order Management via Real-Time API
    • Implement Real-Time Order Reprioritization and Rerouting
    • Deploy Scan-Based Pick Verification and Error-Proofing
    • Activate Returns and Reverse Logistics Execution

    Scope Questions

    Deploy Continuous Wave and Slotting Engine

    • Do you want the Continuous Wave and Slotting Engine included in the pilot scope? Options: Yes, No
    • Which warehouse zones or DC(s) should be included for wave and slotting testing?
    • What wave constraints and business rules must be respected (e.g., carrier cutoffs, staging capacity, SKU consolidation)? Options: Carrier cutoffs, Dock door constraints, Staging capacity limits, SKU consolidation rules, Other
    • What cadence do you currently use for waves and what cadence would you like the engine to support (e.g., continuous, hourly, shift-level)? Options: Continuous real-time, Hourly, Per shift, Daily batch, Other
    • What baseline metrics will you use to evaluate wave/slotting success (pick rate pph, travel distance, carton fill, order accuracy)? Select all that apply. Options: Pick rate (pph), Average travel distance, Order accuracy %, Carton utilization, Wave completion time, Other
    • What slotting inputs are available in your data (SKU velocity tiers, cube, weight, replenishment frequency)? Options: SKU velocity (sales history), Dimensions and weight, Replenishment lead-times, Current bin assignments, Not available / needs profiling, Other
    • Who is the business owner and who is the technical owner for wave and slotting decisions?

    Enable Dynamic Pick Path Optimization

    • Do you want Dynamic Pick Path Optimization included in the pilot? Options: Yes, No
    • What picking methods are used in the test DC(s) (single order, batch, zone/cluster, pick-to-light, voice)? Options: Single order, Batch picking, Zone picking, Pick-to-light, Voice picking, Other
    • Describe current pick device mix and scanning technology (handheld scanners, wearable scanners, tablets, RF guns).
    • What are your target improvements from pick path optimization (e.g., % reduction in travel time, increases in pph)? Options: % reduction in travel distance, Increase in picks-per-hour, Reduction in picks-per-order, Other
    • Are conveyors, sorters, or putwall systems part of the pick flow that must be considered? Options: Yes, No
    • What data sources are required to compute optimal paths (real-time location, SKU dimensions, bin coordinates)? Options: Real-time location, Bin coordinates/map, SKU dimensions, Historical pick frequencies, Not available
    • Who will be responsible for validating optimized paths on the floor during the sandbox?

    Implement Velocity-Driven Slotting

    • Do you want Velocity-Driven Slotting processed during the pilot? Options: Yes, No
    • What historical window should define SKU velocity tiers for slotting (e.g., 30/60/90/365 days)? Options: 30 days, 60 days, 90 days, 365 days, Custom
    • Are there business rules that prevent moving certain SKUs (e.g., hazardous, temperature-controlled, vendor-managed)? Options: Yes, No
    • What physical constraints must the slotting logic respect (e.g., weight limits, shelf heights, pallet positions)?
    • How frequently would you accept slotting changes in production (weekly, monthly, quarterly)? Options: Weekly, Monthly, Quarterly, Ad hoc
    • What acceptance criteria will confirm slotting improvements (reduced travel, higher pick density, improved replenishment efficiency)? Options: Reduced travel distance, Increased picks per hour, Fewer stockouts, Other
    • What data extracts can you provide to support slotting (inventory snapshot, historical picks, replenishment logs)? Options: Inventory snapshot, Historical pick/ship history, Replenishment logs, Bin master, Not ready

    Implement Directed Putaway Automation

    • Should Directed Putaway Automation be part of the pilot scope? Options: Yes, No
    • Describe your current receiving-to-putaway flow and any manual steps that should be automated.
    • What putaway rules should the system enforce (nearest-fit, velocity-based, reserve space, slot-type restrictions)? Options: Nearest-fit, Velocity-based, Reserve space, Slot-type restrictions, Other
    • Are there staging or quarantine areas that require special handling in putaway logic? Options: Yes, No
    • What devices and labels are used on receipts (SSCC, carton barcodes, pallet labels)? Options: SSCC, Carton barcode, Pallet label, No standardized labels, Other
    • What reduction in putaway cycle time or putaway errors would you expect to consider this successful? Options: % reduction in putaway time, Reduction in mis-putaways, Other
    • Who will own configuration and day-to-day validation of putaway rules during the pilot?

    Activate Multi-Carrier Rate Shopping

    • Do you want Multi-Carrier Rate Shopping enabled in the sandbox? Options: Yes, No
    • Which carriers and shipping modes must be included (parcel carriers, regional couriers, LTL, TL)? Options: Parcel national, Regional carriers, LTL, TL, Other
    • What are your shopping priorities (lowest cost, fastest transit, SLA commitments, carbon footprint)? Options: Lowest cost, Fastest transit, SLA compliance, Lowest emissions, Other
    • Do you have access to carrier rate APIs or do you rely on rate tables/EDI? Options: Carrier rate APIs, Rate tables/FTP, EDI, Manual negotiated rates, Other
    • What packaging constraints influence rate shopping (dimensional weight, carrier max dims, palletization rules)?
    • What success criteria will validate rate shopping (cost savings %, on-time delivery rate, average transit days)? Options: Cost savings %, On-time delivery rate, Average transit days, Carrier mix improvement, Other
    • Who is the contact for carrier connectivity and rate credentialing?

    Deploy Native Transportation Planning and Tendering

    • Should Native Transportation Planning and Tendering be part of the pilot? Options: Yes, No
    • What transportation processes should be covered (load building, route optimization, consolidation, tendering)? Options: Load building, Route optimization, Consolidation, Automated tendering, Other
    • Which carrier communication methods are required (API tender, EDI 204/210, email, portal uploads)? Options: API tender, EDI 204/210, Email, Portal uploads, Other
    • Do you require appointment scheduling and dock window enforcement as part of tendering? Options: Yes, No
    • What constraints drive planning (weight limits, trailer types, hazmat, customer delivery windows)?
    • What KPIs will determine successful transportation planning in the pilot (load fill %, tender acceptance rate, on-time departure)? Options: Load fill %, Tender acceptance rate, On-time departures, Cost per shipment, Other
    • Who owns carrier contracts and who will approve tendering rules during the pilot?

    Deploy Yard Visibility and Gate Management

    • Do you want Yard Visibility and Gate Management included in the pilot scope? Options: Yes, No
    • How many gates, dock doors, and typical concurrent trailers does the pilot DC manage?
    • What gate workflows are in place today (appointment scheduling, manual check-in, third-party gate system)? Options: Appointment scheduling, Manual check-in, Third-party gate system, No formal process, Other
    • Do you have yard sensors or RFID/GPS hardware available, or will yard visibility rely on manual input? Options: RFID/GPS sensors available, Manual status updates, CCTV integration possible, Not available
    • What metrics will demonstrate yard improvement (reduced dwell time, faster gate turnaround, door utilization)? Options: Trailer dwell time, Gate turnaround time, Door utilization, Appointment SLA adherence, Other
    • Who manages yard operations and will they be available to validate integrations and gate rules during the sandbox?

    Activate Labor Optimization with Task Interleaving

    • Should Labor Optimization with Task Interleaving be part of the pilot? Options: Yes, No
    • What is your average hourly workforce size in the pilot DC and typical shift patterns? Options: <50, 50-200, 200-500, 500+
    • What task types should be interleaved (picking, replenishment, packing, putaway, cycle count)? Options: Picking, Replenishment, Packing, Putaway, Cycle count, Other
    • Do you have labor standards or time-and-motion baselines to calibrate optimization? Options: Yes, No
    • Are there union or contractual restrictions that affect task assignments or break scheduling? Options: Yes, No
    • What improvement targets justify labor optimization (pph uplift %, reduction in overtime hours)? Options: PPH uplift %, Reduction in overtime, Improved SLA adherence, Reduction in headcount, Other
    • Who will provide workforce schedules and approve optimization rules during the pilot?

    Deploy Cartonization and Pack Optimization Engine

    • Do you want the Cartonization and Pack Optimization Engine included in the sandbox? Options: Yes, No
    • What packaging types and sizes are in scope (standard cartons, polybags, master cartons, pallets)? Options: Standard cartons, Polybags, Master cartons, Pallets, Other
    • Do you have dimensional (DIM) data and weights for SKUs available to the sandbox? Options: All SKUs have DIM/weight, Partial coverage, Not available
    • Which packing rules must be enforced (single SKU per carton, prohibited SKU combos, dangerous goods segregation)? Options: Single SKU only, Prohibited combinations, Hazmat segregation, Carrier-specific pack rules, Other
    • What success criteria will validate cartonization (reduced cartons per order, cost per shipment, compliance with carrier DIM rules)? Options: Fewer cartons per order, Lower cost per shipment, Carrier DIM compliance, Reduction in damages, Other
  5. Mutual Commit

    Agree commercial terms, pilot success metrics, ERP integration responsibilities, and governance for the 60-day evaluation.

    Agreement Modules

    • Statement of Work (SOW)
    • Commercial Proposal / Order Form
    • Pilot Success Metrics & Acceptance Criteria
    • ERP Integration Responsibility Matrix
    • Pilot Governance & Escalation Plan
    • Sandbox Access & Environment Agreement
    • Data Processing Agreement (DPA)
    • Service Level Agreement (Pilot Support)
    • Acceptance Test Plan & Validation Checklist
    • Integration & Deployment Plan (Appendix)
    • Change Order / Scope Amendment
    • Payment Schedule & Invoicing Terms
    • Intellectual Property & Licensing Terms
    • Liability, Indemnity & Insurance Terms
    • Termination & Exit Plan
    • Renewal & Rollout Commitment
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Validate data access, environment setup, mapping between ERP order management, and assigned owners for integration tasks.

      Readiness Questions

      Quick Orientation: a single thing to get us moving

      • Who is the primary sponsor for the 60-day sandbox pilot on your side? Options: VP Supply Chain / Distribution, CIO / IT Leader, CFO, Site Operations Manager, Warehouse Manager, 3PL Operator, Other
      • Which distribution center will we run the sandbox in, and why was that site chosen?
      • When would you ideally like the sandbox to start? Options: Within 2 weeks, 2–4 weeks, 1–2 months, 2+ months
      • What single business outcome would make this pilot an unqualified success for your leadership team?
      • On average, how many orders does that DC process per day today (ballpark)? Options: <5k, 5k–10k, 10k–20k, 20k–50k, >50k

      Before We Flip the Switch: the one failure that would break the pilot

      • If the pilot failed tomorrow, what is the single most likely cause you would point to? Options: ERP order feed gap, Incorrect mappings, Inventory mismatch, Warehouse adoption / scanning, Carrier handoff, Other
      • How often do peak-day disruptions (late shipments, backorders, mispicks) occur in that DC? Options: Daily during peaks, Weekly, Monthly, Rarely
      • What are your current baseline metrics at that DC for: typical picks/hour, order accuracy, and average labor utilization? Please provide numbers or ranges.
      • Tell us about the last time a fulfillment breakdown reached the executive level—what happened and what was the real business impact?
      • Which of these has historically been hardest to sustain during peak: throughput, accuracy, or labor productivity? Options: Throughput (pick rate), Accuracy (mispicks/returns), Labor productivity (cost per pick), All three equally

      Who Owns the Knobs? — responsibility when things go sideways

      • Who will be the day-to-day owner we call when an order fails to appear in the sandbox? Options: Warehouse Manager / Ops Lead, Integration Engineer (IT), 3PL On-site Coordinator, VP Distribution, Other
      • Which teams must approve go/no-go decisions during the pilot? (select all that apply) Options: Site Operations, IT/Integration, Supply Chain/Distribution, Finance (CFO), Legal/Compliance, 3PL / Operations Partner, Other
      • What SLAs do you expect for issue response and remediation when we encounter integration or data problems during the sandbox? Options: 1 hour (critical), 4 hours, 24 hours, 72 hours, No formal SLA
      • Who will approve the final pilot acceptance—name, title, and decision criteria owner?
      • How often can your cross-functional governance team meet to unblock critical issues during the 60 days? Options: Daily war room, 2–3x/week, Weekly, Biweekly, Ad-hoc

      Where the Data Lives (and Who Can Touch It)

      • If we asked for a complete, timestamped order history with line-level details today, can your team produce that within 72 hours? Options: Yes, with sample files, Yes, but requires IT effort, No — needs extraction work, Unsure / needs confirmation
      • How will we get data to the sandbox? (select all methods that apply) Options: API (real-time), SFTP / nightly files, Database read-only access, iPaaS / middleware, Manual CSV exports, Other
      • Which ERP/order-management system(s) are in scope for the pilot? Options: SAP ECC / S/4HANA, Oracle EBS / Cloud, NetSuite, Microsoft Dynamics 365, Infor, Proprietary / Legacy, Other
      • Are there PII or regulatory constraints on sharing order or customer data with a vendor sandbox? Please describe.
      • Which of these data elements are present and complete in your order feed today? (select all that apply) Options: Order timestamps (created/updated), Line-level SKUs, Inventory location / bin, Lot/serial numbers, Package dimensions & weight, Ship-to carrier/service, Promotions / price adjustments, Other

      The Real Integration Gaps: honest choices, not wishful thinking

      • Which single integration touchpoint has caused the most overruns in past projects? Options: Order ingestion (OMS -> execution), Inventory reconciliation, ASN / ship notice, Carrier manifest / rating, Yard / dock appointment, Labor transactions
      • Do you currently use middleware/iPaaS for integrations, or do you prefer direct connections? Options: MuleSoft, Dell Boomi, Celigo, Custom ETL / in-house, Direct API connections, No middleware / manual
      • Are your current integrations batch (hourly/daily) or near real-time? How tolerant is the business of latency? Options: Batch (daily/hourly), Near real-time (minutes), Real-time streaming, Mixed (depends on feed)
      • Which mapping complexities do we need to plan for (e.g., multi-UOM, multi-sku aliases, kit children)?
      • Share one example of a past integration failure—what broke and what was the root cause?

      People & The Floor: it’s rarely just technology

      • Which is more likely to derail a parallel-run: a technical mapping issue or the warehouse team’s reluctance to follow system-directed workflows? Options: Technical mapping issues, Warehouse adoption / resistance, Equal risk, Other
      • How prepared is the DC for device-based scanning and guided workflows today? Options: Fully equipped and tested, Devices available but not fully tested, Limited devices / need procurement, No devices / need plan
      • How many floor associates will require formal training for the pilot, and over how many shifts? Options: <10, 10–50, 50–200, 200–500, >500
      • Who will be the onsite change champion(s) responsible for adoption during the 60 days?
      • Describe one cultural or operational habit that might slow adoption of system-directed pick/putaway guidance.

      Sandbox Success: what would make your CFO stop the spreadsheet scratching

      • If pick rate improved X% and accuracy improved Y%, what payback horizon would get the CFO comfortable—would that be enough to commit to rollout? Options: <6 months, 6–12 months, 12–24 months, >24 months
      • What specific ROI inputs does your finance team require from the pilot (labor $/hr, error cost per order, implementation CAPEX, ongoing license)?
      • What minimum improvements would you need to see in pick rate, order accuracy, and labor utilization to label the pilot a success? Options: Pick rate +5%, Pick rate +10%, Pick rate +20%+, Order accuracy to >98%, Labor cost reduction 5–10%, Other
      • Who in finance will validate the business case and what evidence format do they prefer (spreadsheet model, slide deck, raw data exports)? Options: Spreadsheet model, Slide deck + executive summary, Raw data exports + access, Other
      • How will pilot results be reconciled to production metrics—what dashboards or reports must be produced?

      Hidden Escalations & Contingencies — planning for what we don’t want to happen

      • If the pilot misses a guaranteed ship window on peak day one, who is the escalation path and expected response time?
      • Do you have a rollback plan that can be executed within a shift if the parallel-run jeopardizes customer SLAs? Options: Yes — tested, Yes — untested, No formal rollback plan, Not sure
      • What regulatory, customer contract, or carrier constraints should we know that might affect how quickly we can change routing or carriers during the pilot?
      • Which stakeholders must be notified immediately when a critical pilot incident occurs? (select all that apply) Options: Site Manager, VP Supply Chain, CIO/IT Lead, CFO, Customer Success / Account Team, 3PL Partner, Other
      • What contingency budget or overtime allowance exists to cover corrective actions during the sandbox? Options: Dedicated contingency budget, Overtime approval available, No extra budget, Unsure

      Mapping the Steps to Deployment: the bare minimum we must finish before parallel run

      • From your perspective, what are the non-negotiable integration tasks that must be completed before enabling parallel operations? Options: Order feed configured, Inventory sync established, User accounts provisioned, Cartonization rules defined, Carrier connections live, Sample data loaded, Acceptance criteria documented
      • For each of those tasks, who will be the responsible owner (name/title) and what is their availability?
      • What is your preferred sprint cadence for integration and validation work? Options: Daily standups, 2–3x/week, Weekly, Biweekly
      • Estimate realistic durations for the following activities: feed mapping, middleware configuration, sandbox data load, and floor training (give ranges)
      • Are there external vendors (carriers, ERP integrators, WMS consultants) we must coordinate with, and how responsive have they been historically?

      Commit to Next Checkpoint: timing, credentials, and the first deliverable

      • If we agreed to a kickoff today, how soon could you commit the necessary people and credentials to start extract/load work? Options: Immediately, Within 1 week, 1–2 weeks, 2+ weeks, Blocked
      • What are the top three blockers that would slow the start of the sandbox (e.g., security approval, API credentials, resource availability)?
      • Which communication channels do you prefer for day-to-day pilot coordination? (select all that apply) Options: Email, Slack / Teams channel, CustomerNode workspace, Weekly video calls, Phone
      • Who should be invited to the kickoff meeting from your side (name, title, role in pilot)?
      • What would you like the first 7-day deliverable from our team to be (e.g., sample data load, mapping checklist, device readiness report)? Options: Sample data loaded to sandbox, Mapping checklist completed, Device & user provisioning report, Initial integration test run, Other
    2. Deployment Enablement

      Schedule parallel-run tasks, training for floor staff, integration sprints, and milestone owners for the distribution center rollout.

    3. Validation Checklist

      Verify pilot acceptance criteria—pick rate, order accuracy, labor utilization, cartonization, and carrier orchestration—then capture results.

      Validation Questions

      Opening: Who's in the room and why now?

      • Please list the people who will be actively involved in the 60-day sandbox (name and role).
      • Which executive(s) created the urgency to evaluate a new execution platform? Options: VP of Distribution/Logistics, CIO/IT, CFO/Finance, CEO/COO, 3PL Partner, Other
      • What specific incident or pattern triggered this evaluation right now? Options: Late shipments during peak, Spike in mispicks, Backorder/customer complaints, ERP unable to scale, New business/volume growth, Other
      • In one sentence, what is the one business question this sandbox must answer for your leadership?
      • Who is expected to sign the pilot acceptance and final purchase approval? Options: VP Distribution, CIO, CFO, Site Operations Lead, Procurement, Other

      If We Keep Doing What We've Done, What Breaks Next?

      • When high volume hits again, where do you expect the operation will fail first? Options: Wave planning collapse, Labor shortfalls/misbalance, Pick accuracy declines, Carrier cut-offs missed, Yard congestion, Other
      • Tell me about a recent failure that reached customers—what happened, root causes you observed, and the customer impact.
      • Which processes routinely require manual overrides, spreadsheets, or ad-hoc workarounds? Options: Order splitting/cartonization, Wave selection, Slotting decisions, Labor assignment, Carrier selection/rate-shopping, Exception handling
      • How often do exceptions escalate to senior ops or the VP level during peak periods? Options: Daily, Several times a week, Weekly, Monthly, Rarely
      • Who typically owns resolving those escalations and how long does it take on average?

      Where the Numbers Hide the Real Problem

      • You may be measuring the wrong thing—which operational metric do you think gives the most false confidence today? Options: ERP throughput reports, Daily pick counts, Labor hours logged, On-time shipment percent, Inventory accuracy
      • Which KPIs do you track hourly vs daily vs weekly? (select all that apply) Options: Pick rate (PPH), Order accuracy, On-time %, Orders processed, Labor utilization, Carrier SLA adherence, Dock-to-ship time
      • Please state your current baseline ranges for normal-day and peak-day: pick rate (PPH), order accuracy (%), and labor utilization (%).
      • How confident are you in the integrity of the last 60 days of order and execution data we’ll use in the sandbox? Options: High (clean/complete), Moderate (some gaps), Low (significant issues), Unknown
      • How do you currently reconcile ERP-reported performance with floor reality when numbers diverge?

      What Would a Non-Negotiable Fix Look Like?

      • If you had to name three non-negotiable outcomes the pilot must deliver, what would they be?
      • Which capabilities must be present in the sandbox to validate those outcomes? Options: Wave-based dynamic planning, Real-time labor optimization, Advanced cartonization, Multi-carrier orchestration, Yard visibility, ERP order synchronization
      • What operational constraints must the pilot respect (e.g., no downtime, limited change to floor devices, blackout dates)?
      • What CFO payback timeframe would make a rollout decision straightforward? Options: < 6 months, 6–12 months, 12–24 months, > 24 months
      • Are there any acceptance criteria you would refuse to accept? (e.g., >X% accuracy, Y PPH minimum)

      Whose Job Gets Harder When You Change This?

      • Which teams and roles will feel the biggest day-to-day impact from switching to a single execution layer? Options: Warehouse associates, Floor supervisors, IT/integration team, Customer service, Carrier operations, Finance
      • How do frontline workers currently receive tasks and priorities (select all that apply)? Options: ERP handhelds, Paper/picksheets, Voice systems, Local WMS devices, Supervisor assignment, Other
      • How emotionally and practically ready are floor supervisors to move to system-directed workflows? Options: Very ready, Open but cautious, Resistant, Unsure
      • What training hours and resources can you commit during the parallel run phase (estimate per site)?
      • Who will be the internal change sponsor responsible for adoption success at the DC? Options: Site Ops Manager, VP Distribution, HR/Training, Change Manager, IT Lead

      If This Pilot Succeeds, What Changes for the CFO?

      • How will finance quantify success—what explicit line items or savings will they expect to see? Options: Labor cost reduction, Error/rework cost avoided, Carrier savings, Fewer chargebacks/penalties, Revenue retained
      • Estimate your current monthly spend (range) on labor and on pick-related rework/error costs. Options: <$100k, $100k–$500k, $500k–$1M, >$1M
      • Are there capital or operating budget windows that will limit when a multi-year license can be purchased? Options: Yes—capital window only, Yes—operating budget only, Flexible, Unsure
      • What CFO-level evidence will shift a 'maybe' to a 'go'—a dollar number, a % improvement, or a risk reduction threshold? Options: Dollar ROI within X months, X% lift in productivity, Absolute accuracy threshold, Other
      • Any finance constraints (e.g., amortization policy, multi-year commitments) we should build into the business case?

      Let’s Stress the Sandbox — What Could Break It?

      • Which edge-case scenarios make you doubt a sandbox will reflect real-world performance? Options: Carrier irregularities, Split-case orders, Promotional surges, Cross-dock spikes, Return storms, Inventory inaccuracies
      • Which historical peak-day scenarios should we reproduce to validate throughput and accuracy? Options: Black Friday/Cyber, Holiday week, Promo launch, Supplier delay day, Unexpected returns day
      • What data artifacts can you provide for the sandbox (select all you can commit to delivering)? Options: 60 days order history, SKU master with dimensions/weights, Carrier rules and rate tables, Labor standards and shift schedules, Warehouse zone maps and devices
      • Are there interfaces or systems we cannot replicate in sandbox (third-party carriers, vendor-managed inventory, proprietary telemetry)?
      • What SLA do you require for our sandbox environment performance and data privacy controls? Options: 99.9% availability, Business hours support, 24/7 support, Other

      What Would Success Sound Like on Day 61?

      • If you answered the VP’s one question on Day 61 in one sentence, what would you want that sentence to say?
      • Which specific reports or dashboards must exist at pilot close for you to sign off? Options: Pick rate vs baseline, Order accuracy by SKU/location, Labor utilization and productivity, Cartonization efficiency, Carrier SLA & cost variance, ROI model
      • Who will own the formal pilot acceptance decision, and who needs to be consulted before signing off? Options: VP Distribution, CIO, CFO, Site Ops Manager, IT Integration Lead
      • How will you validate sandbox results against live parallel-run performance before broader rollout?
      • What remaining technical or operational risks must be mitigated before a site-by-site rollout?

      Quick Signals — Practical Hand-raises

      • If we could complete only three integration tasks this quarter, which would you prioritize? Options: ERP order API synchronization, Inventory master sync, Carrier EDI/manifest integration, Labor/timekeeping integration, Warehouse device connectivity
      • Data access readiness: which of the following can you provide within two weeks? Options: Order history (60 days), SKU dimensions & cube, Carrier contracts/rates, Labor standards, Warehouse layout & zone config
      • What sandbox timeline do you prefer to validate the business case? Options: 30 days, 45 days, 60 days (standard), 90 days
      • Who will be the day-to-day point of contact for integration and testing on your side (name & role)?
      • Are there security, SSO, or network constraints our team should plan for immediately? Options: SSO required, Firewall/VPN needed, VPN + whitelisted IPs, No special requirements, Unsure

      Commitment and Next Steps — Are We Ready to Move?

      • What's the smallest high-confidence commitment you will make this week to prove momentum (e.g., provide data extract, schedule kickoff, assign POC)?
      • Which pilot governance cadence will you use? Options: Weekly steering with exec sponsors, Bi-weekly tactical reviews, Daily ops standup during go-live, Ad-hoc as needed
      • Who will own pilot acceptance criteria tracking and reporting on your side? Options: Site Ops Manager, VP Distribution, IT Integration Lead, Program Manager, Other
      • List any procurement, legal, or procurement windows and blockers we should be aware of before starting.
      • Please provide preferred dates for pilot kickoff and a realistic date for having the required data in sandbox format.
  7. Success

    Confirm outcomes against success signals, finalize the business case for CFO, and maintain a shared channel for issues and enhancements.

    Success Reviews

    • Executive Success Review
    • CFO Business Case Finalization Workshop
    • Post-Pilot Technical Validation Walkthrough
    • Operational Handoff & Continuous Improvement Planning
    • Closure & Go-Live Decision Meeting

    Issues & Enhancements

    • Establish KPI dashboards and a governance cadence to monitor production performance post-rollout.
    • Schedule the formal CFO review meeting and circulate materials 48 hours in advance.
    • Sandbox & Data Fidelity Statement (one-sentence)
    • Validate that pilot technical artifacts accurately represent production behavior and support the business case.
    • Identify and assign remediation for any remaining integration or performance issues.
    • Obtain technical acceptance from customer SMEs that results are reproducible and sufficient to proceed.
    • Document residual technical issues with severity, owner, and target resolution date.
    • Provide reproducible test cases and sandbox replay scripts to the customer's IT team for independent verification.
    • Confirm monitoring metrics and alerting to be enabled for the production rollout.
    • Shared Channel & Escalation Paths
    • Agree on a single shared channel and escalation model for issues and enhancements.
    • Prioritize and assign ownership to the top continuous improvement items with clear acceptance criteria.
    • Introductions & Objectives
    • Create the shared collaboration channel and invite agreed stakeholders with defined roles.
    • Load the prioritized backlog into the agreed tool (Jira/Asana) and assign owners and target delivery windows.
    • Publish the operational playbook and schedule training refresh sessions for floor supervisors.
    • Recap Outcomes vs Success Signals
    • Obtain formal go/no-go decision for production rollout and document any conditions.
    • Confirm contractual/commercial items required for deployment and obtain signatures or commitments.
    • Agree deployment timeline, owners, and immediate tasks to transition from pilot to production.
    • If go: execute contract amendment (if any), set go-live date, and notify deployment teams.
    • If conditional: document required conditions, owners, and dates for a conditional go-live, and schedule re-check.
    • Publish the final deployment RACI, cutover plan, and rollback triggers to all stakeholders.
    • Executive alignment on whether pilot outcomes meet the previously agreed success signals.
    • Surface and quantify any remaining gaps that would prevent proceeding to finalize the business case.
    • Obtain clear executive direction (approve, conditional approve, or require more analysis) and assigned owners for next steps.
    • Capture any executive questions/gaps and assign owners to provide follow-up data within 3 business days.
    • If approved, task the finance lead to begin formalizing the CFO business case document and schedule the CFO workshop.
    • If conditional, document required remediation steps and owners with target completion dates for a re-validation review.
    • Baseline & Assumptions Review
    • Agree on a finalized ROI model and underlying assumptions that the CFO can review and sign.
    • Identify highest-impact risks to payback and commit mitigations or contingencies.
    • Define the formal approval path and timeline for CFO sign-off and contracting.
    • Produce a one-page executive business case and a detailed financial model (spreadsheet) for CFO review.
    • Assign a finance owner to collect any missing cost inputs (e.g., headcount FTE rates, integration vendor estimates).
    • Detailed Metric Proofs
    • Final Business Case Status
    • Operational Playbook Handoff
    • Current State (one-sentence)
    • ROI Model Walkthrough
    • Sensitivity & Risk Scenarios
    • Consequence Summary (quantified)
    • Deployment Readiness Verification
    • Integration Health & Error Rates
    • Continuous Improvement Backlog Prioritization
    • Open Technical Issues & Remediation Plan
    • Pilot Results Snapshot
    • Integration & Change Management Costs
    • Risk Acceptance & Mitigation
    • Monitoring & KPI Cadence
    • Final Decision & Immediate Next Steps
    • CFO Payback Preview
    • Validation Checkpoint
    • Agreement & Approval Path
    • Governance Rhythm
    • Validation & Executive Confirmation
    • Decision & Next Steps
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