Industrial & Manufacturing Industrial Manufacturing & Robotics Supply Chain Network Design

Inventory Strategy

Complex deployments where integration, safety, and operational handoff determine production success.

Oracle Blue Yonder Kinaxis E2open
Inside this journey
  1. Pre-Discovery

    Align the room on outcomes, decision process, and constraints before deeper discovery.

    1. Stakeholder Alignment

      Confirm decision roles, investment vs service priorities, timeline, and success metrics across supply chain, finance, and operations.

      Alignment Questions

      Quick warm-up — who’s in the room (so we don’t waste anyone’s time)?

      • Which executive sponsors and functional partners will we need to engage for this initiative? Options: CEO/President, CFO/Finance Lead, VP Supply Chain, Director of Planning, Inventory Manager, Operations/Plant Leader, IT/ERP Lead, Sales/Commercial Lead, Customer Success/Account Lead, Other
      • How would you describe the current level of alignment between finance, supply chain, and operations on inventory objectives? Options: Highly aligned (shared targets and cadence), Somewhat aligned (occasional coordination), Tension exists (competing priorities), Functionally siloed (rarely aligned)
      • Which outcome(s) feel most urgent to your leadership team right now? Options: Reduce working capital, Improve fill rate/customer service, Reduce obsolete slow-moving stock, Improve forecast accuracy, Prepare for ERP/IT migration, Other
      • Who will act as the day-to-day liaison for data requests, testing, and approvals? Options: VP Supply Chain, Director of Planning, Inventory Manager, Finance/FP&A lead, IT/ERP lead, Other
      • Briefly describe a recent inventory decision or initiative (successes or failures) that shaped your thinking today.

      If finance could choose one headline to show the board, would they pick lower inventory dollar exposure or better fill rates?

      • Has finance quantified a specific working capital or inventory dollar target we should be measured against? Options: Yes — specific $ target, Yes — % reduction target, High-level expectation (no number), No target set, Unsure
      • How would operations rank their tolerance for short-term service disruption in pursuit of lower inventory? Options: Comfortable for short, controlled periods, Reluctant but will consider tradeoffs, Unacceptable under current customer commitments, Depends by product/customer
      • Tell us about a concrete tradeoff decision where finance and operations disagreed — what was the outcome and why?
      • Who currently arbitrates inventory vs. service tradeoffs (role, committee, or process)? Options: Steering committee (cross-functional), Supply chain leader, Finance lead/CFO, Program manager, Ad-hoc leadership meetings, No formal arbiter
      • How do you today translate service improvements into financial impact (e.g., revenue at risk, penalty avoidance, customer retention)?

      Which three people or teams would push back hardest if fill rates dropped by 2% next quarter?

      • List the internal and external stakeholders most sensitive to changes in service levels (name role or company).
      • For each stakeholder you named, what minimum service level or tolerance do they expect?
      • How are strategic customers currently involved in decisions that could affect their service (formal reviews, SLAs, executive touchpoints)? Options: Regular business reviews, Contractual SLA clauses, Ad-hoc communication, Customers not formally engaged
      • What contractual KPIs, penalties, or critical customer commitments could limit our ability to reduce inventory for specific SKUs? Options: Fill rate SLA, On-time delivery, Service-level rebates/penalties, Consignment/stock ownership terms, None identified, Other
      • If we saw a 1–3% drop in fill rate during a pilot, how would you expect that to impact revenue, renewals, or sales conversations (ballpark)?

      If your ERP won’t let us implement recommended policies, who will have to explain that to the board?

      • Which ERP(s) and planning modules are in scope for making replenishment and policy changes? Options: SAP ECC / S/4HANA, Oracle EBS / Oracle Cloud, Microsoft Dynamics 365, Infor, Blue Yonder (JDA), Kinaxis, Other
      • Are there upcoming ERP upgrades, migrations, or major IT projects that could constrain parameter changes or data access? Options: Yes — in progress, Planned within 12 months, Planned but >12 months out, No plans, Unsure
      • What IT/change-control or security requirements have blocked past attempts to change planning logic or data extracts?
      • Who must formally approve configuration changes in the planning module (roles or committees)? Options: ERP Change Control Board, IT/ERP Team, Supply Chain Lead, Finance Approval, Cross-functional Steering Committee, Other
      • How much custom code or bespoke configuration does your planning stack rely on today (versus standard module functionality)? Options: Mostly standard functionality, Some customizations, Significant bespoke development, Unsure

      If we ran a 60–90 day pilot and results were mixed, what would make you confident the positive signals are real and scalable?

      • What pilot design elements would convince you the sample is representative (choose all that apply)? Options: Representative product family, Representative DC(s)/region, Sufficient time window (60–90 days), Normal demand period (not seasonal spike), Full ERP parameter access, Other
      • Which top 3 metrics will you use to decide pilot success? Options: Fill rate, Inventory turns, Working capital reduction ($), Days of inventory (DOI), Stockout incidents, Service by SKU cohort, Forecast error
      • For each metric you've chosen, what minimum improvement would you consider a credible win (be specific where possible)?
      • Who has the authority to approve scaling from pilot to enterprise rollout? Options: CFO/Finance, VP Supply Chain, Cross-functional Steering Committee, CEO/President, Other
      • If the pilot shows early service degradation, what escrow, rollback, or pause decision path do you want in place?

      How much disruption can your planning organization tolerate before you see morale or productivity collapse?

      • How many planners, schedulers, and inventory analysts will be directly involved in execution and exception handling? Options: 1-2, 3-5, 6-10, >10, Unsure
      • Describe your planners' current top pain points during replenishment and exception cycles.
      • How many hours per week can planners reasonably allocate to pilot activities (data review, exception handling, meetings)? Options: <2 hours, 2-5 hours, 5-10 hours, >10 hours
      • What training and enablement approach has proven effective with your planners in past rollouts? Options: Hands-on workshops, Train-the-trainer, Recorded modules + office hours, Embedded on-site support, Other
      • What would 'minimal acceptable disruption' look and feel like to your team during the pilot?

      What would make you regret committing to this program two quarters from now?

      • Which implementation risks keep you awake at night (select all that apply)? Options: Poor data quality, ERP or integration limits, Stakeholder resistance, Supplier lead-time variability, Seasonal demand shocks, Regression after pilot, Other
      • Have you experienced short-lived inventory wins before? If yes, what caused the improvements to disappear? Options: Yes — governance failed, Yes — data or ERP reverted, Yes — demand changed unexpectedly, No — improvements were sustained, Not sure
      • What governance model (routines, owners, cadence) would give you confidence gains persist post-rollout? Options: Monthly exec review + KPIs, Weekly ops/exception cadence, Dedicated analytics owner, Quarterly steering committee, Other
      • What ongoing metrics, dashboards, or alarms would you require to feel the program is controlled and improving?
      • If we recommend automation of policy updates in your ERP, what safeguards or rollback mechanisms are non-negotiable?

      If we guaranteed no net service loss while reducing inventory, how quickly could you realistically commit people and systems to start?

      • What specific resource commitments are you prepared to make for a discovery and pilot (people, IT/admin time, data engineering)? Options: Named executive sponsor, Single POC for data, ERP admin time, Planner time allocation, Finance SME time, Other
      • What approvals and legal/IT steps must be completed before we can extract 12–24 months of demand and inventory data?
      • What is your preferred start window for discovery and pilot work? Options: Within 2 weeks, Within 1 month, 1–3 months, 3+ months, Unsure
      • What single change or assurance would make it easy for your leadership to say 'yes' today?
      • Are there blackout periods or non-negotiable dates (counts, sales peaks, audits, ERP freezes) we must avoid? Options: Year-end close, Peak sales season, Physical inventory counts/audits, ERP upgrade/migration window, Other
    2. Current State Mapping

      Document ERP landscape, data availability, planning rules, inventory profiles, and the root causes driving excess capital or stockouts.

      Current State

      Tell Us About Your Systems — a quick snapshot

      • Which ERP(s) are you running today? Options: SAP ECC / S/4HANA, Oracle EBS / Cloud, Microsoft D365 / AX, NetSuite, Infor, JD Edwards, Custom / Legacy, Multiple (hybrid), Other
      • Which planning or execution tools sit alongside the ERP (e.g., Advanced Planning, APS, Excel overlays)? List names.
      • How long has your primary ERP been in production for core supply chain planning? Options: < 1 year, 1–3 years, 3–7 years, 7–15 years, > 15 years
      • Which ERP modules are actively used to manage demand, inventory, and replenishment? Options: MRP / Replenishment, Inventory management, Purchase order management, Sales order management, Production planning (MRP II), Advanced Planning / APS, Demand planning module, None / Excel-driven, Other
      • Who is the day-to-day owner of planning parameters and who signs changes (role names)?

      Show Me the Data — where it breaks down

      • If you had to bet, where does your data most often betray your planning? Options: Incomplete demand history, Incorrect SKU master data, Unreliable lead times, Inaccurate on-hand counts, Inbound/PO receipt mismatches, Shipment not recorded, Other
      • Do you consistently have 12–24 months of transaction-level demand (sales/shipments) across most SKUs? Options: Yes — for most SKUs, Partial — for high-volume SKUs only, No — gaps across the board, We have >24 months, Unsure / need to check
      • At what cadence do you capture inventory snapshots and transactions that planners rely on? Options: Real-time / near real-time, Daily, Weekly, Monthly, Ad hoc
      • Which of the following data elements are reliably captured and usable for modeling? Options: Shipments / sales by SKU, PO receipts by SKU, Supplier lead times, Lot/batch traceability, Safety stock flags, Inventory age / obsolescence tags, None of the above
      • Give one or two concrete examples of data surprises you've encountered that changed planning outcomes (what happened and impact).
      • Are there legal, security, or contractual constraints that limit access to historic planning or supplier data? Options: No constraints, Some restrictions (vendor contracts), IT/security restrictions, Regulatory / compliance constraints, Unsure

      Where the money is getting stuck

      • What’s the single biggest contributor to elevated inventory investment in your business? Options: Excessive safety stock, Excess slow-moving / obsolete, Large batch / EOQ constraints, Supplier minimum order quantities, Unpredictable lead times, Forecasting error, Service-level targets set too high, Other
      • Please estimate your current total inventory investment (or range) and the inventory days/turns you report.
      • Which product families or DCs hold the largest share of working capital? Name top 3 if possible.
      • Approximately what percent of inventory do you classify as slow-moving or obsolete today? Options: < 5%, 5–10%, 10–20%, 20–40%, > 40%, Unsure
      • Who in finance formally signs off on inventory valuation, write-offs, or disposition decisions? Options: CFO, VP Finance / Controller, FP&A, Supply chain ops with finance oversight, No formal sign-off, Other
      • Which financial KPIs would matter most to the CFO when evaluating an optimization project? Options: Working capital reduction ($), Days of inventory (DOI), Inventory turns, Cash conversion cycle, Gross margin impact, EBITDA impact, Other

      When stockouts bite: stories that matter

      • Which recurring scenario costs you the most customer goodwill or revenue? Options: Stockouts on high-revenue SKUs, Late deliveries from production, Distribution center misses, Unexpected supplier outages, Forecast bias, Other
      • How often do service failures (stockouts or delayed shipments) meaningfully impact customers? Options: Daily, Weekly, Monthly, Quarterly, Rarely
      • Share a recent example of a stockout that had material commercial impact—what happened, and who was affected?
      • Which portion of the business is least tolerant of stockouts (Sales, Key accounts, Field service, OEM customers, E-commerce)? Options: Sales / Commercial, Key Accounts, Field Service / Service Parts, OEM / Contract Manufacturing, E-commerce / Retail, All are equally intolerant
      • What fill-rate target is currently used for priority SKUs, and how was that target chosen? Options: > 99%, 97–99%, 95–97%, 90–95%, < 90%, No formal target

      Rules you live by — even when they hurt you

      • Which planning rules do you rely on even if they occasionally produce poor outcomes? Options: Fixed safety stock %, Min/Max by spend band, Fixed reorder cadence, Forecast overrides by sales, Run-to-order for manufacturing, Manual exceptions accepted, Other
      • How are service levels and safety stock policies currently calculated (method or responsible team)? Options: Statistical model (CI/SD based), Rule-of-thumb / % of demand, ERP default, Planner judgement, Not formally calculated / ad hoc
      • How frequently are replenishment parameters reviewed and who participates? Options: Monthly with planners & ops, Quarterly with supply chain leaders, Only during crises, Never — ad hoc
      • Describe a time when an automated rule created harm (overstock, stockout, lost sale). What was the root cause?
      • Who has authority to override ERP-planned orders or parameters (roles)? Options: Planner, Planning manager, Operations manager, Procurement, Finance, Cross-functional approval, No clear authority / varies

      Supply variability and lead-time blackholes

      • Where in your supply network does unpredictability do the most damage? Options: Raw material suppliers, Tier-2/3 suppliers, In-house production variability, Transportation / carriers, Customs / imports, Third-party manufacturers, Other
      • Do you measure lead-time variability by SKU or by supplier? If yes, how (PTP, supplier promise vs actual)? Options: Yes — SKU level, Yes — supplier level, Both, No formal measurement, Unsure
      • Do you currently have alternate sourcing, safety stocks, or expedited lanes for critical SKUs? Options: Alternate suppliers for many SKUs, Limited alternates for select SKUs, No alternates, Expedited options exist but costly, Unsure
      • How often do supplier performance issues trigger emergency buys or production reschedules? Options: Weekly, Monthly, Quarterly, Rarely, Never
      • If someone on your team wanted to reduce lead time variability, what internal barriers would they face?

      Inventory profiles — which SKUs tell the truth?

      • How do you currently segment SKUs for planning decisions (what dimensions: value, variability, criticality)? Options: ABC by $, CV2 / demand variability, Intermittent demand / lumpy, Strategic / critical, Service parts categorization, Not formally segmented, Other
      • Approximately what percent of SKUs account for 80% of demand value in your catalog? Options: Top 5%, Top 10%, Top 20%, Top 30%, Unsure
      • What share of SKUs experience intermittent demand (many zero-months then spikes)? Options: < 10%, 10–25%, 25–50%, > 50%, Unsure
      • Which SKU families would you consider a priority for a 60–90 day pilot (high value, high variability, or strategic)? Please name up to three.
      • Would you be open to a pilot that changes replenishment rules for those families while keeping the rest of the business unchanged? Options: Yes — full pilot, Yes — limited scope, Maybe — need more guarantees, No

      Systems & integration — can your ERP play along?

      • How easy is it to load new replenishment parameters into your ERP/planning module? Options: Automated & API-driven, Semi-automated via templates, Manual via planner entry, Requires IT change request, Unsure
      • Do you have a sandbox or test environment where we can validate parameter changes before going live? Options: Yes — full sandbox, Limited test environment, No — only production, Unsure
      • What level of IT support is typically available for integrations and data extracts? Options: Dedicated integration team, Shared IT resources, Contractor / external support, Minimal / not timely
      • Can your systems export transaction-level data (orders, receipts, shipments) in a format we can ingest (CSV, API, database)? Options: Yes — multiple formats, Yes — but limited to CSV, Only manual exports, No / not currently
      • Are there particular ERP constraints we should know (customizations, unique master data rules, or non-standard MRP logic)?

      Acceptable disruption — what can we and can’t we change?

      • If an optimization requires short-term process changes, how much planner time can be dedicated to the pilot? Options: Full-time for several planners, Part-time (1–2 days/week), Minimal (ad hoc), We cannot reassign planner time
      • How tolerant is the organization of process experimentation that may temporarily shift orders or inventory? Options: Very tolerant — innovation encouraged, Moderately tolerant — with guardrails, Low tolerance — must be low-risk, Not tolerant
      • What stakeholders must be engaged before we change replenishment parameters (roles/departments)? Options: Supply Chain / Planning, Finance, Operations / Production, Sales / Commercial, IT, Legal / Compliance, All of the above, Other
      • Describe any non-negotiable constraints (e.g., service levels for top customers, regulatory limits, contract terms) that would limit changes.
      • What communication cadence would you prefer during a pilot (weekly, biweekly, monthly, milestone-based)? Options: Weekly, Biweekly, Monthly, Milestone-based only, Ad hoc as needed

      Imagine inventory that satisfies both CFO and Sales

      • If we could reduce working capital by a specific percent without harming fill rates, what range would be compelling to your leadership? Options: < 5%, 5–10%, 10–20%, 20–40%, > 40%
      • What minimum fill-rate improvement (or tolerance for small dips) would Sales need to sign off on a pilot? Options: No decline acceptable, 0.1–0.5% dip tolerated, 0.5–1.0% dip tolerated, Willing to accept short-term dip if long-term improves
      • What success metrics and thresholds would you require to greenlight scaling after the pilot (list KPIs and thresholds)?
      • Who will make the final decision to scale after a successful pilot and on what timeline does that decision need to happen? Options: CFO, VP Supply Chain, Cross-functional committee, Executive sponsor, Unsure
      • What would you consider a realistic timeline from pilot start to enterprise rollout if results meet expectations? Options: 3–6 months, 6–12 months, 12–18 months, Longer than 18 months, Unsure
  2. Outcome Discovery

    Define target reductions in working capital, required fill-rate improvements, constraints on disruption, and clear success signals for pilots.

    Discovery Questions

    Quick Intro — Who You Are and What's Top of Mind

    • Tell us your role, the parts of the business you influence, and the approximate inventory investment you own or oversee (range is fine). Options: VP Supply Chain, Director of Planning, Inventory Manager, Finance Leader, Other
    • Which of these outcomes is the single highest priority for you right now? Options: Reduce working capital, Improve fill rate / service, Reduce obsolescence, Stabilize planner workload, ERP integration / automation, Other
    • Who else must be actively involved in decisions about inventory strategy on this initiative? Options: CFO/Finance, Sales/Commercial, Operations/Manufacturing, IT/ERP team, Procurement, Customer Service, Other
    • Thinking of the last inventory initiative you ran, what went well and what disappointed you (short, specific examples please)?
    • How do you prefer progress to be reported during a pilot—high level executive dashboard, weekly planner exceptions, or both? Options: Executive dashboard only, Weekly planner reports only, Both, Other

    If We Didn't Fix This, What Keeps You Awake?

    • What single inventory problem today is quietly costing you the most (cash tied up, lost sales, expedited freight, or something else)? Options: Excess slow-moving stock, Frequent stockouts on key SKUs, High safety stock across the board, Obsolescence write-offs, Expediting costs, Other
    • How often do stockouts or service misses occur on your top-selling SKUs (choose the range closest to reality)? Options: Daily, Weekly, Monthly, Quarterly, Rarely
    • How large was the most recent inventory-related hit to P&L or cashflow that you can point to (ballpark)? Options: <$100k, $100k–$500k, $500k–$2M, $2M–$10M, >$10M, Unknown
    • Tell us about a recent customer or internal incident caused by inventory issues—what happened and what was the fallout?
    • When planners or ops teams raise inventory concerns, what emotions or reactions tend to follow (frustration, paralysis, workarounds, pride, etc.)? Options: Frustration, Workarounds, Blame/Politics, Acceptance/Resignation, Proactive problem-solving, Other

    Where Data and Systems Betray You

    • What single ERP or data blindspot do you believe most undermines accurate inventory decisions in your organization? Options: Poor lead-time capture, Inaccurate on-hand balances, Missing demand history, Batch/lot issues, Manual overrides everywhere, Other
    • Which planning or ERP system(s) are in scope for any changes or parameter updates? Options: SAP ECC / S/4HANA, Oracle (EBS/Cloud), Microsoft Dynamics (AX/365), Infor M3/CloudSuite, NetSuite, Homegrown/Other
    • How much usable historical demand and supply data can you extract today for modeling? Options: <12 months, 12–24 months, 24–36 months, >36 months, Variable by segment
    • Rate the quality of your master data (items, lead times, suppliers, locations) on a 1–5 scale and explain any major gaps. Options: 1 - Very poor, 2 - Poor, 3 - OK, 4 - Good, 5 - Excellent
    • Where are planners doing the most manual work today (pick all that apply)? Options: Spreadsheet overrides, Emergency PO creation, Manual safety stock tweaks, Frequent ADHOC transfers between DCs, Custom reorder point calculations, Other
    • If we asked IT for extracts and ERP access for a 60–90 day pilot, what is the realistic lead time to get that in place? Options: <2 weeks, 2–4 weeks, 1–2 months, 2–3 months, >3 months

    The Tradeoff You Keep Being Asked to Solve

    • When finance says ‘free up cash’ and sales says ‘don’t jeopardize service’, which side wins most decisions today—and why? Options: Finance usually wins, Sales usually wins, Depends on the SKU/segment, No consistent winner
    • What is the smallest acceptable change in fill rate you would tolerate to free up meaningful working capital (choose a band)? Options: No drop tolerated, 0.5–1% drop, 1–3% drop, 3–5% drop, Willing to accept >5% drop
    • What working capital improvement would get you executive buy-in (select the percent range)? Options: <5%, 5–10%, 10–20%, 20–35%, >35%
    • Have you tried segmenting service levels by SKU or customer tier before? What worked and what didn’t?
    • Which stakeholders must sign off on a pilot that alters replenishment policy (pick all that apply)? Options: VP Supply Chain, CFO/Finance, Head of Sales, Plant Ops/Distribution, IT/ERP, Legal/Compliance
    • How would you describe your organization’s risk tolerance for short-term disruption during implementation (choose one)? Options: Very low, Low, Moderate, High, Very high

    If Money and Service Could Make Peace — What Would That Feel Like?

    • In 12 months, what measurable headline would make you say the inventory effort was a clear success? Options: Specific % reduction in working capital, Specific % improvement in fill rate, Turn improvement target, Reduced expediting costs, Combination of the above
    • Please state numeric targets you’d like to see for at least two of these metrics: working capital reduction (%), fill-rate improvement (pp), inventory turns increase (x).
    • Beyond metrics, what behaviors or signals would tell you the change is sustainable (examples: fewer manual overrides, planners using exception lists, monthly adherence reviews)? Options: Reduced manual overrides, Planners using exception workflows, Fewer emergency POs, Regular governance meetings, ERP automation of parameters, Other
    • Who are the three stakeholders whose enthusiastic endorsement you would need to scale from pilot to rollout?
    • What timeline feels realistic to achieve those headline results after a successful pilot? Options: 3 months, 6 months, 9–12 months, 12–18 months, >18 months
    • Which proof points matter most to your CFO: cash freed, reduced carrying cost, or forecastable recurring savings? Options: Cash freed, Reduced carrying cost, Recurring annual savings, Reduced write-offs/obsolescence, Other

    Constraints: The Guardrails We Can't Cross

    • What are the absolute non-negotiables that any proposed inventory plan must respect (service SLAs, contractual fill rates, regulatory shelf-life, etc.)?
    • Which supplier or manufacturing constraints often limit your ability to reduce inventory (MOQs, long fixed lead times, unreliable suppliers)? Options: Supplier MOQ, Long/variable lead times, Minimum production runs, Capacity constraints, Single-source suppliers, Other
    • Are there product categories we should never touch during a pilot? If so, which and why?
    • Do you have contractual service levels or customer penalties tied to inventory performance we must avoid breaching? Options: Yes - strict penalties, Yes - soft penalties, No formal penalties, Not sure
    • How much manual override of system-recommended orders is permitted today and who controls it? Options: Extensive—planners override daily, Moderate—some overrides weekly, Minimal—mostly automated, No overrides allowed, Varies by site
    • What regulatory, safety, or quality requirements (lot tracing, shelf-life, recalls) could limit automated replenishment changes?

    Pilots That Prove — Not Just Promise

    • What would make a 60–90 day pilot undeniably successful in your eyes—describe the minimum outcomes and indications you’d accept as a win.
    • Which pilot scope do you prefer to validate impact quickly? Options: Single high-volume SKU family, One distribution center across mixed SKUs, Customer segment (e.g., top customers), Slow-moving SKU cluster, Other
    • Which acceptance metrics should be part of pilot sign-off (select all that apply)? Options: Fill rate / service level, Inventory turns, Working capital reduction, Expediting / expedite spend, Planner time saved, ERP parameter stability
    • What preparatory work must happen before a pilot starts (data extracts, baseline KPIs, ERP access, planner training) and who owns each?
    • How quickly can your planners participate in a pilot and commit to following new recommendations for the test period? Options: Immediately, In 2–4 weeks, 1–2 months, Longer than 2 months, Unsure
    • What would be a showstopper during a pilot that would force you to stop the test early (service breaches, system failures, stakeholder objection)?

    Who Decides, Who Executes, and How We Stay Aligned

    • Who is the final decision-maker for approving a pilot, and who approves budget for scale?
    • Which team will be the day-to-day owner of ERP/configuration changes and planner training? Options: Supply Chain/Planning, IT/ERP, Operations, Third-party integrator, Hybrid
    • What governance cadence do you prefer after pilot launch to monitor success and risk (weekly, bi-weekly, monthly)? Options: Weekly, Bi-weekly, Monthly, Ad-hoc as needed
    • What reporting format convinces your CFO and operations—numbers-only dashboards, narrative summaries, or combined executive packets? Options: Numbers-only dashboards, Narrative summaries, Combined executive + dashboard, Custom board pack
    • Who will be responsible for change management and planner adoption, and do they have capacity today?
    • Are there procurement, legal, or compliance approvals needed before we access ERP data or run a pilot? Options: Yes - procurement, Yes - legal/compliance, Yes - both, No formal approvals needed, Unsure

    Risks, Objections, and the Last 10% That Breaks Deals

    • What single objection from your leadership or planning team do you foresee that could halt this project if not addressed? Options: Fear of service loss, Distrust of models, ERP incompatibility, Cost/ROI concerns, Resource capacity, Other
    • What evidence or assurances would reduce that objection most effectively (case studies, pilot data, ERP configuration proof, guarantees)? Options: Comparable case study, Pilot results on our data, ERP integration test, Financial ROI model, Vendor references
    • Have you had previous supplier or consultant engagements that under-delivered? If yes, what specifically failed? Options: Yes - poor results, Yes - high disruption, Yes - no sustainment, No, Prefer not to say
    • How should we surface issues during the engagement so they get fixed quickly (escalation path, joint war room, weekly risk log)? Options: Weekly risk log, Joint governance meeting, Immediate escalation to sponsor, Dedicated war room, Other
    • If we propose ERP parameter automation, what concerns would your IT/ERP team raise first? Options: Security/data access, Change control/process, System stability, Customization complexity, Other

    Commitment Meter — Plain Talk About Next Steps

    • On a scale from 1–10, how committed are you to launching a pilot to optimize inventory within the next 90 days? Please give the number and a one-sentence reason. Options: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • What specific, realistic next step would move us forward right now (data extract, governance meeting, budget approval, pilot scoping)? Options: Data extract, Governance kickoff, Budget approval, Pilot scoping session, IT access request, Other
    • Who needs to be in the room for that next step and when can they meet?
    • What would make you say ‘no’ to moving forward right now (deal-breaker conditions)?
    • Finally, is there any context or history about your business, customers, or product lifecycle we should absolutely know before proposing a pilot?
  3. Solution Experience

    Walk through modeled current-to-future scenarios using the customer’s data to confirm expected inventory, fill-rate, and cash impacts.

    Experience Meetings

    • Solution Experience — Readiness & Current State Confirmation
    • Modeled Baseline — Current State Diagnostic
    • Scenario Walkthrough — Current-to-Future Options
    • Operational Validation & ERP Feasibility
    • Decision & Pilot Acceptance
    • Agree on pilot runbook, access requirements, and risk/rollback controls before kickoff.
    • Confirm data scope, gaps, and assumptions so the modeling outputs are trusted.
    • Agree the one-sentence future-state target that scenarios must prove.
    • Validate and quantify the business consequences the customer cares about (inventory $, fill-rate, cash).
    • Introductions & Objectives
    • Future-state Framing
    • Quantify scenario-level impacts on inventory, cash, and fill-rate with SKU/DC examples.
    • Surface the operational and business trade-offs for each scenario so stakeholders can choose a pilot.
    • Obtain explicit stakeholder validation of the recommended scenario to move to pilot planning.
    • Customer to select preferred pilot scenario and confirm acceptable KPI thresholds.
    • Consulting team to provide detailed SKU-level impact extracts for the chosen scenario.
    • Finance to run/confirm simple cash NPV for the recommended scenario if requested.
    • Map Recommended Policies to ERP Fields
    • Confirm every recommended policy maps cleanly to an ERP field or documented workaround.
    • Ensure planners endorse the proposed exception workflows and operational steps for the pilot.
    • Establish and sign-off on a crystal-clear one-sentence current-state diagnosis.
    • ERP admin to confirm field availability and sandbox access for pilot configuration.
    • Create and share the pilot runbook with roles, schedule, and dashboard definitions.
    • Draft a short planner training checklist and schedule the training session pre-pilot.
    • Re-state Diagnosis & Consequence
    • Obtain explicit stakeholder sign-off to proceed with the defined pilot scope and success metrics.
    • Confirm governance cadence, pilot ownership, and data access commitments required to start.
    • Schedule pilot kickoff and assign immediate pre-pilot action owners.
    • All parties to sign the pilot acceptance form / MOU with scope and KPIs.
    • Schedule pilot kickoff meeting and assign pilot owner and daily/weekly contacts.
    • Deliver final data extracts and grant agreed system access ahead of the kickoff.
    • Customer to confirm/sign-off the one-sentence current-state statement in writing.
    • Deliver any missing data fields or corrected extracts identified in the session within 3 business days.
    • Consulting team to publish the validated assumptions and dataset snapshot used for modeling.
    • Stakeholders to confirm final success metrics (KPIs and thresholds) that define an acceptable future state.
    • Modeling Approach & Inputs
    • Demonstrate the model reliably reproduces the customer's current KPIs (proof of diagnosis).
    • Identify and prioritize the top 3–5 root causes driving excess inventory or stockouts.
    • Agree required data corrections or re-runs to improve model fidelity.
    • Consulting team to deliver the baseline model report and per-segment KPIs within 48 hours.
    • Customer to confirm or correct ERP KPI source numbers where gaps were found.
    • Flag and supply corrected lead-time or demand history records for re-run if needed.
    • One-sentence Current State
    • Baseline KPI Reproduction
    • Re-state Future-state Promise
    • Planner Workflow & Exceptions
    • Scenario A — Low-risk / Maintain Service
    • Root-cause Mapping
    • Scenario B — Balanced / Recommended
    • Quantified Consequence Review
    • Pilot Runbook & Data/Access Requirements
    • Pilot Scope, Duration & Acceptance Criteria
    • Risk Controls & Rollback Plan
    • Uncertainty & Sensitivity
    • Scenario C — Aggressive / Max Savings
    • Governance, Roles & Commercials Recap
    • Data Quality & Key Assumptions
    • Sign-off & Next Steps
    • Agree Success Signals for Experience
    • Clarifications & Data Fixes
    • Comparative Trade-offs & Incremental Benefits
    • Training & Change Management Needs
    • Validation Questions (Force Confirmation)
  4. Solution Scope

    Specify included product segments, DCs, deliverables, pilot criteria, ERP modules, and measurable acceptance metrics.

    Scope Configuration

    • Extract and Clean 24 Months ERP Demand & Inventory Data
    • Segment SKUs by Demand Variability and Strategic Importance
    • Model Lead-Time Variability and Supplier Reliability
    • Calculate Statistically Optimal Safety Stock and Targets
    • Design Reorder Points and Order Quantity Policies
    • Simulate Service-Level versus Inventory Trade-Offs
    • Generate ERP Parameter Set for Replenishment
    • Load Replenishment Parameters into ERP Planning Module
    • Execute 60–90 Day Pilot on Product Family or DC
    • Measure Pilot: Fill Rate, Turns, Working Capital
    • Configure Planner Roles and ERP Access
    • Deliver Hands-On Planner Training and Exception Handling
    • Execute Slow-Moving and Obsolete Inventory Disposition

    Scope Questions

    Extract and Clean 24 Months ERP Demand & Inventory Data

    • Do you have at least 24 months of transactional demand and inventory history available? Options: Yes, No, Partial (e.g., 12-23 months)
    • Which systems will we extract data from? Options: ERP (e.g., SAP, Oracle), WMS, TMS, Spreadsheet exports, Other
    • List the ERP modules / tables you expect to provide (e.g., sales orders, shipments, receipts, inventory snapshots).
    • Are there known data quality issues we should account for (missing SKUs, duplicate transactions, unit-of-measure inconsistencies)? Options: Yes, No, Not sure
    • Will we receive daily-level transactions, weekly summaries, or monthly snapshots? Options: Daily transactions, Weekly summaries, Monthly snapshots, Mixed
    • Do you require the consulting team to perform field mapping and master-data reconciliation, or will your IT team provide a cleaned extract? Options: Consulting team to clean and map, IT will provide cleaned extract, Shared responsibility

    Segment SKUs by Demand Variability and Strategic Importance

    • Do you currently segment SKUs by turnover, revenue, or strategic criteria? Options: Yes - turnover/ABC, Yes - revenue/ABC, Yes - custom strategic tiers, No
    • Which strategic importance criteria should be used (e.g., critical to production, key customer, high margin)? Options: Critical to production, Key customers / contractual, High margin, Promotional / seasonal, Other
    • Are there existing SKU categorizations (families, product lines, BOM parents) we should preserve? Options: Yes, No
    • What is the expected number of SKUs for segmentation? Options: Under 1,000, 1,000-10,000, 10,000-50,000, 50,000+
    • Do you want service-level tiers (e.g., Gold/Silver/Bronze) mapped to segments? Options: Yes, No, Undecided - need recommendation
    • Are there business rules that must override statistical segmentation (e.g., safety stock floor for critical SKUs)? Options: Yes, No

    Model Lead-Time Variability and Supplier Reliability

    • Do you have inbound lead-time records per PO/supplier or only planned lead times? Options: Actual historical lead times per PO, Planned lead times only, Mixture
    • How many primary suppliers account for the majority of replenishment lead-time risk? Options: 1-5, 6-20, 21-50, 50+
    • Are there recurring outages, seasonal supply constraints, or agreed supplier SLAs we should model? Options: Yes - outages, Yes - seasonality, Yes - SLAs, None known
    • Should modeling include internal lead-times (production, transfer between DCs) in addition to supplier lead-times? Options: Yes - include internal, No - supplier only, Include if data available
    • Do you track supplier on-time delivery and fill performance at SKU-level today? Options: Yes - SKU-level, Yes - supplier-level only, No
    • Are there constraints (e.g., lot-sizing, MOQ, freight cutoffs) that affect replenishment lead-times? Options: Yes, No, Unknown - need assessment

    Calculate Statistically Optimal Safety Stock and Targets

    • Do you have target service levels defined by SKU or by customer segment? Options: By SKU, By customer segment, By product family, Not defined
    • Should safety stock be calculated using a probabilistic model (demand + lead-time variability) or a simpler rule-based approach? Options: Probabilistic/statistical, Rule-based, Recommend based on data
    • Are there financial constraints or maximum inventory investment thresholds we must respect when optimizing safety stock? Options: Yes - dollar limit, Yes - turns target, No hard constraints
    • Do you require separate safety-stock calculations for seasonal vs. non-seasonal SKUs? Options: Yes, No, Undecided
    • Are there regulatory or service-level obligations (e.g., critical spares) that require safety-stock override? Options: Yes, No
    • Do you prefer safety stock outputs as absolute units, days of cover, or financial value? Options: Units, Days of cover, Financial ($)

    Design Reorder Points and Order Quantity Policies

    • Which replenishment policy types does your ERP/planning system support today (e.g., reorder point, min/max, EOQ, periodic review)? Options: Reorder point, Min/Max, EOQ, Periodic review, Other
    • Are there constraints on order quantities such as pack sizes, MOQs, or pallet quantities? Options: Yes, No, Not sure
    • Should we include safety stock, reorder point, and lot-sizing recommendations at SKU-DC level or aggregated at SKU level? Options: SKU-DC level, SKU level (global), Combination
    • Do you require inventory policy recommendations to consider supplier lead-time tiers or expedited lanes? Options: Yes - include tiers, No, Include only if material
    • Are there existing policy exceptions (e.g., do-not-replenish SKUs) we must honor? Options: Yes, No
    • Do you want recommended reorder points and order quantities delivered as a parameter file compatible with your ERP? Options: Yes, No, Prefer CSV for review

    Simulate Service-Level versus Inventory Trade-Offs

    • Which KPIs should simulations prioritize (select up to three)? Options: Fill rate, Inventory turns, Working capital ($), Stockouts (#), Service to key accounts
    • Over what horizon should simulations run to capture variability (e.g., 6 months, 12 months, 24 months)? Options: 6 months, 12 months, 24 months, Other
    • Do you require Monte Carlo or stochastic simulation for tail-risk, or are deterministic what-if scenarios sufficient? Options: Stochastic/Monte Carlo, Deterministic what-if, Both
    • Are there business constraints to enforce during simulation (e.g., max inventory by category, service-level floor for specific customers)? Options: Yes, No
    • Do you want scenario outputs in a format that shows per-segment trade-offs (e.g., incremental inventory vs incremental fill rate)? Options: Yes, No
    • Who should review simulation scenarios internally (finance, supply chain, operations)?

    Generate ERP Parameter Set for Replenishment

    • Which ERP/planning system and version will receive parameter sets? Options: SAP ECC / S/4, Oracle EBS / Cloud, Manhattan, Kinaxis, Other
    • What parameter format does your ERP accept (e.g., flat CSV, XML, direct API load)? Options: CSV, XML, API/Connector, Manual entry
    • Do you require a mapping file that translates our SKU IDs to ERP item numbers, sites, and stocking locations? Options: Yes, No
    • Should generated parameters include metadata such as justification notes, effective dates, and change rationale? Options: Yes, No
    • Do you need a staged deployment file (pilot-only parameters vs. full-rollout parameters)? Options: Yes, No
    • Are there governance checks we must include in the parameter file (approval flags, owner fields)? Options: Yes, No

    Load Replenishment Parameters into ERP Planning Module

    • Who will perform the parameter load into the ERP (client IT, planners, consulting team)? Options: Client IT, Planners, Consulting team, Hybrid
    • Is there a sandbox or test environment available for an initial parameter load and validation? Options: Yes - sandbox available, No - only production
    • Are change windows or blackout periods that restrict when ERP parameters can be updated? Options: Yes, No, Some restrictions
    • Do you require rollback capability and version control for parameter changes? Options: Yes, No
    • Will parameter loads be automated via scripts/APIs or require manual entry in the ERP UI? Options: Automated (API/scripts), Manual UI entry, Combination
    • Do you need a validation checklist that confirms expected MRP outputs after parameter load? Options: Yes, No

    Execute 60–90 Day Pilot on Product Family or DC

    • Which pilot scope do you prefer: specific product family, single DC, or a combination? Options: Product family, Single DC, Product family within DC, Other
    • What is the target pilot duration (choose within 60–90 days)? Options: 60 days, 75 days, 90 days, Other
    • Which stakeholders will own pilot governance (supply chain lead, finance sponsor, operations manager)?
    • Do you have baseline KPIs and historical performance for the pilot scope to measure lift? Options: Yes - baseline available, Partial, No - need baseline established
    • Are there operational constraints during pilot (e.g., cannot change supplier ordering cadence, promotional events)? Options: Yes, No, Need to identify
    • Do you require parallel-run operations (old policy vs new policy) or a cutover approach for pilot? Options: Parallel run, Cutover, Hybrid

    Measure Pilot: Fill Rate, Turns, Working Capital

    • Which fill-rate definition will we use (line-fill, unit-fill, order-fill)? Options: Line-fill, Unit-fill, Order-fill, Customer-specific definition
    • What financial metric should be used for working capital measurement (inventory $ at cost, days of inventory, or cash tie-up)? Options: Inventory $ at cost, Days of inventory, Cash tie-up, Custom
    • How frequently should pilot metrics be reported (daily, weekly, bi-weekly)? Options: Daily, Weekly, Bi-weekly, Monthly
    • Who will validate pilot measurement data (finance owner, supply chain analyst, third-party auditor)? Options: Finance, Supply chain, Both, Third-party
    • What acceptance thresholds define pilot success for each KPI (e.g., +X% fill, -Y% inventory dollars)?
    • Do you require causal analysis for any KPI changes observed during pilot (e.g., promotion-driven spikes)? Options: Yes, No
  5. Mutual Commit

    Agree commercial terms, governance cadence, responsibilities, pilot success criteria, and ERP/data access commitments.

    Agreement Modules

    • Non-Disclosure Agreement (NDA)
    • Master Services Agreement (MSA)
    • Statement of Work (SOW)
    • Commercial Terms & Payment Schedule
    • Pilot Success Criteria & Acceptance
    • Governance & Steering Cadence
    • Roles & Responsibilities (RACI)
    • Data Access & Security Agreement (DPA)
    • ERP Integration & Access Commitment
    • Implementation Timeline & Milestones
    • Change Order & Scope Management
    • Termination, Exit & Data Return Plan
  6. Deployment

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

    1. Pre-Deployment Readiness

      Verify data extracts, system access, baseline KPIs, owners, and risk controls are in place before pilot execution.

      Readiness Questions

      Getting Oriented: Your Inventory Story

      • In one sentence, what is the single highest-priority inventory outcome you need us to help you deliver right now?
      • Which range best describes your current gross inventory investment? Options: $50M–$200M, $200M–$500M, $500M–$1B, >$1B
      • What are the explicit targets your leadership has set (e.g., DIO reduction, turns increase, fill-rate uplift, working capital $)? Please list numeric targets and timeframe.
      • When you think about this work, what specific recent event or recurring moment makes you feel we must act now?
      • Who on your team will feel most relieved if this engagement succeeds—and who will feel most threatened?

      Are You Comfortable With the Trade-offs You’re Making?

      • Which do you find yourselves conceding to more often: cash (lower inventory) or service (higher fill rates)? Options: We prioritize cash aggressively, We prioritize service aggressively, We oscillate between the two, No clear priority
      • Describe a recent instance where that trade-off caused visible friction between Finance, Sales, and Supply Chain—what happened and who pushed back?
      • What minimum fill-rate or service level thresholds does Sales insist on by customer/segment, and how strictly are those enforced? Options: Company-wide target only, By customer tier, By product segment, Not formally defined
      • What is the CFO’s tolerance for inventory reduction that may risk short-term fill-rate drops? Please quantify if possible or describe in words.
      • How does the organization decide which risk (stockout vs cash) wins when confronted with a specific SKU decision? Options: Finance decision, Sales decision, Operations decision, Cross-functional governance

      Where the Hidden Inventory Costs Live

      • Which inventory pockets create the most surprise—costly overstock that sits unseen, or recurrent stockouts that trigger firefighting? Options: Overstock pockets, Recurring stockouts, Both equally, Unsure
      • Walk me through the product groups, DCs, or stages (raw/WIP/FG) you suspect hold the biggest opportunity—why those specifically?
      • What percent of SKUs in your catalog are classified as slow-moving, and how often do you run disposition or obsolescence cycles? Options: <5%, 5–15%, 15–30%, >30%
      • Which supply-side issues most often drive excess inventory or stockouts: lead time variability, minimum order quantities, supplier lot-sizing, or inbound reliability? Options: Lead time variability, MOQ/lot-sizing, Supplier reliability, Forecast error, Other
      • Tell us about a SKU or small family that perfectly illustrates the root cause you want fixed—what made it a problem and how did you respond?

      How Decisions Actually Get Made Here

      • When someone proposes changing replenishment parameters, who has the final sign-off and why do they hold that authority?
      • Which formal governance or review cadences exist today (e.g., weekly planner huddle, monthly S&OP, quarterly finance review)? Options: Daily planner reviews, Weekly replenishment meetings, Monthly S&OP, Quarterly finance review, No formal cadence
      • If we recommended a new segmentation and policy set, how would decisions about exceptions and overrides be handled day-to-day?
      • How quickly can policy changes be made in your ERP or planning system when a business case is approved? Options: Same day, Within a week, 1–4 weeks, >1 month, Depends on IT
      • Describe a time when a data-driven recommendation was rejected—what were the reasons and what would have changed the outcome?

      What Success Feels Like — Beyond the Dashboard

      • Imagine this engagement was a clear win in 12 months—what story would your CFO and your Head of Supply Chain each tell at the executive meeting?
      • Which of these outcomes is most important to you right now? Options: Reduce working capital $, Improve fill-rate, Increase turns, Reduce planner time, Reduce obsolescence
      • For your top metric, what is a concrete, minimally acceptable improvement and what would be a stretch goal? (Please provide numbers if possible.)
      • Beyond numbers, what cultural or behavioral changes would count as success (e.g., planners trusting models, cross-functional alignment)?
      • How important is predictability of results versus magnitude of initial improvement when you evaluate pilot success? Options: Predictability > Magnitude, Magnitude > Predictability, Both equally important, Depends on stakeholder

      What Would It Take to Pilot with Confidence?

      • What would make you immediately say "yes" to running a 60–90 day pilot rather than postpone it?
      • Which pilot concerns keep you from signing up today: disruption to planners, data accuracy, ERP access, executive buy-in, or risk of service degradation? Options: Planner disruption, Data quality, ERP access, Executive buy-in, Service risk, Other
      • How many full-time planner-days per week can your team realistically dedicate to a pilot without harming operations? Options: <1 day/week, 1–2 days/week, 3–5 days/week, Dedicated resource
      • What criteria should we use to choose a pilot scope (e.g., revenue at risk, complexity, variability, critical customers)? Please rank or describe. Options: Revenue at risk, Demand variability, Lead time variability, Strategic customers, Operational simplicity
      • Who will own measurement and sign-off during the pilot (name or role), and how will success be reported to executives?

      Data, Systems, and Risk — Can We Execute?

      • If we asked for 12–24 months of transactional demand, receipts, shipments, and inventory snapshots today, what would most likely delay delivery? Options: IT bandwidth, Data quality/cleanliness, Access/security approvals, Disconnected systems, Other
      • Which ERP or planning systems are you actively using for replenishment and forecasting? Options: SAP ECC/S4, Oracle/NetSuite, JDA/Blue Yonder, Kinaxis, Manhattan, Homegrown/Other
      • Do you have a sandbox or test environment where we can model changes without impacting live orders? If yes, how mature is it? Options: Yes—fully usable, Yes—partial data, No sandbox available, Unsure
      • How complete and accurate are these fields in your master data: lead times, supplier MOQs, alternate sourcing, and ABC segmentation? Options: Mostly complete, Patchy, Mostly missing, Unknown
      • Describe any security, compliance, or audit controls that would shape how we handle data extracts and ERP access.

      Commitments & Roadblocks to Scale

      • Who must change roles, KPIs, or behaviors for improvements to persist after pilot handover?
      • Which of these governance elements are currently missing but would be required for sustained improvement? Options: Monthly KPI review, Exception management workflow, Policy ownership, ERP automation, Training program
      • If ERP parameter changes are approved, how quickly can your IT/ERP team implement automation for rollouts across sites? Options: Days, 1–2 weeks, 1 month, >1 month, Not sure/needs consultation
      • What internal objections or inertia do you anticipate when we recommend moving from spreadsheet rules to automated, statistical policies?
      • What training and handoff format helps your planners adopt new policies: live workshops, recorded modules, job-aids, or shadowing support? Options: Live workshops, Recorded modules, Job-aids/cheatsheets, Shadowing support, Combination

      Deciding the First Pilot — Let’s Choose Wisely

      • If you had to pick one product family or DC that would prove our approach fastest, which would it be and what makes it a strong candidate?
      • Which selection criteria matter most for that pilot? Options: High inventory $, High variability, Strategic customers, Operational simplicity, Representative demand patterns
      • How many SKUs and what revenue volume would you expect in a meaningful pilot sample? Options: <100 SKUs, 100–500 SKUs, 500–1,000 SKUs, >1,000 SKUs
      • What metrics will you want updated weekly versus monthly during the pilot (choose all that apply)? Options: Fill rate, Inventory $, Turns, Stockout incidents, Order lead-time, Planner time spent
      • Assuming pilot success, what internal decision or governance step will be required to approve enterprise rollout? Options: Executive steering approval, Finance sign-off, IT/ERP plan, Pilot replication plan, Other
      • When would you be realistically ready to begin a pilot (calendar window)? Options: Immediately, 1–3 months, 3–6 months, 6+ months
    2. Pilot Deployment

      Execute the 60–90 day pilot applying segment-specific replenishment policies and collect outcomes against agreed metrics.

    3. ERP Configuration & Training

      Configure recommended parameters in the ERP/planning module, automate policies where possible, and train planners on exception workflows.

    4. Validation Checklist

      Verify pilot outcomes against acceptance metrics (fill rate, turns, working capital), document adjustments, and confirm scale-readiness.

      Validation Questions

      Quick Orientation — Who You Are and What Counts

      • What's your role and day-to-day scope when it comes to inventory and planning? Options: VP Supply Chain, Director of Planning, Inventory Manager, CFO/Finance Lead, Operations/Plant Manager, Other
      • How would you describe the scale of inventory you manage today (total inventory on the balance sheet)? Options: <$50M, $50M–$250M, $250M–$1B, >$1B, Prefer not to say
      • Which product types are most material to your inventory investment right now? Options: Finished goods, Raw materials, Work-in-process, Spare parts/service parts, Packaging/consumables, Other
      • What ERP or planning systems do you currently rely on for replenishment and forecasting? Options: SAP ECC/S4, Oracle (EBS/Cloud), Blue Yonder/JDA, Kinaxis, Microsoft Dynamics, Homegrown or spreadsheets, Other
      • When you think about the last 12 months, what single outcome would you say matters most to the business—reduce working capital, improve fill rate, reduce obsolescence, cut expediting costs, or something else? Options: Reduce working capital, Improve fill rate/service levels, Reduce obsolescence/slow-moving stock, Lower expedite/expedite costs, Improve planner productivity, Other

      Are We Comfortable With the Numbers?

      • If your current inventory numbers were a story, what hidden chapter do you think executives are missing?
      • What KPIs do you track monthly to measure inventory health (select all that apply)? Options: Days Inventory Outstanding (DIO), Turns, Fill Rate / Service Level, Stockout incidents, Obsolescence $, Safety stock % of inventory, Working capital impact, Other
      • Which of those KPIs do you trust to tell the whole truth about your inventory performance? Options: All of them, Most of them, A few (specify in next question), None — we lack trust
      • Where do you have the most difficulty trusting the numbers? Tell us an example or a discrepancy you've seen.
      • Do you have 12–24 months of clean transactional data (demand, receipts, shipments, lead times) available for analysis? Options: Yes, ready to extract, Partial (some months or modules missing), No, requires cleanup, Not sure — need to investigate

      What’s Causing the Tension Between Cash and Service?

      • Which single problem creates the most tension between your CFO and your operations team right now? Options: Too much cash tied in inventory, Repeated stockouts on key SKUs, High obsolescence, Expensive emergency replenishment, Inaccurate forecasting, Other
      • How often do stockouts meaningfully affect customer deliveries or sales targets? Options: Daily, Weekly, Monthly, Quarterly, Rarely/Never
      • Where is excess inventory concentrated—by product family, geography, DC, or lifecycle stage? Please give a brief snapshot.
      • What root causes do you suspect are driving excess capital or recurring stockouts (select up to three)? Options: Forecast error/variance, Long/unreliable lead times, Overly conservative safety stocks, Decentralized replenishment rules, ERP misconfiguration, Slow-moving product policies, Supplier constraints, Other
      • How does this tension make you or your team feel—stressed, resigned, motivated to change, or something else? Options: Stressed/urgent, Resigned/used to it, Motivated to change, Curious/exploratory, Other

      If Planning Was an Algorithm, Where’s the Bug?

      • What part of your planning process do you think causes the most incorrect orders or misaligned stock (forecast, safety stock calc, lead time inputs, manual overrides, other)? Options: Forecasting model, Safety stock calculation, Lead time assumptions, Manual overrides/exceptions, Min/max policies, Other
      • How frequently do planners override system recommendations, and why do they do it? Options: Daily — often, Weekly — regularly, Monthly — sometimes, Rarely, Never
      • Who typically makes the final call on inventory exceptions (planner, planning manager, operations, finance, sales)? Options: Planner, Planning Manager/Director, Operations/Plant Manager, Finance/CFO, Sales/Commercial, Cross-functional committee, Other
      • Describe a recent example where ERP configuration or master-data issues led to an inventory surprise. What happened?
      • Are your replenishment rules automated in ERP (reorder points, safety stock, lot-sizing), or mainly manual/spreadsheet-driven? Options: Fully automated in ERP, Partially automated, Mostly manual/spreadsheets, Not sure

      What Would Real Success Feel Like to Your Team?

      • If we achieved the right balance between cash and service, what would be the first tangible thing your finance leader would celebrate? Options: Lower working capital, Improved cash flow, Reduced obsolescence write-downs, Better forecast accuracy, Other
      • What fill rate, turns, or working-capital improvement would you need to justify scaling a pilot to full rollout?
      • How important is protecting customer service during inventory reduction efforts (select one)? Options: Top priority—service cannot degrade, High importance—small temporary dips acceptable, Moderate—short trade-offs OK, Low—focus on cash first
      • Which downstream metrics would signal success after deployment beyond inventory and fill rate (select all that apply)? Options: Order-to-delivery lead time, Customer satisfaction/NPS, Expedite spend, Planner productivity, Forecast bias reduction, Other
      • If a pilot showed mixed results (turns improved but fill rate lagged), what outcome would you accept as a net win?

      Pilot Readiness — Are We Set Up to Learn Fast?

      • If a 60–90 day pilot were run tomorrow, what would be the single biggest obstacle to executing it well?
      • Do you have a candidate product family or DC that we could reasonably pilot (stable demand, representative mix, manageable SKUs)? Options: Yes — product family identified, Yes — DC/location identified, Not yet — we need help selecting, No suitable candidate currently
      • Which data extracts can you provide within two weeks for a pilot (select all that apply)? Options: 12–24 months demand history, Receipts and PO history, Lead time records, Inventory snapshots, Sales orders/fulfillment data, Master data (BOM, item attributes)
      • Who would own the pilot day-to-day from your side (name/role) and who signs off on pilot success?
      • What guardrails must remain in place during a pilot to protect customers and finance (e.g., min fill rate thresholds, dollar caps, manual approvals)?

      People & Process — Who Will Change and How?

      • Who across supply chain, operations, and finance will be most impacted by new replenishment rules or ERP parameter changes? Options: Planners, Planning managers, Procurement/sourcing, Operations/warehousing, Finance, Sales/Commercial, IT/ERP support
      • What internal concerns do you anticipate from those groups—job risk, loss of control, data quality, training time, or other? Options: Job/security concerns, Loss of manual control, Data quality worries, Training/time constraints, ERP integration fears, Other
      • How do you prefer training and adoption to be delivered—hands-on in ERP, role-based workshops, train-the-trainer, or digital microlearning? Options: Hands-on ERP sessions, Role-based workshops, Train-the-trainer, Digital modules/microlearning, Combination
      • How often do you want a governance review after rollout to ensure the new policies persist (monthly, quarterly, biannually)? Options: Monthly, Bi-monthly, Quarterly, Biannually, Other
      • Describe one recent change initiative at your company that stuck—and one that didn’t. What made the difference?

      Commercial & Decision Signals — What Will Close the Deal?

      • What would make you comfortable signing a mutual commitment after a pilot—specific ROI, governance terms, ERP access, or references? Options: Specific ROI threshold, Governance cadence/agreement, Confirmed ERP/data access, References/case studies, Clear rollout plan
      • How does your procurement or legal team prefer to structure consulting engagements—SOW + milestones, T&M, fixed fee, or outcome-based? Options: SOW with milestones, Time & Materials, Fixed fee, Outcome-based/at-risk, Other
      • What internal approvals are required for a pilot and who signs them (budget owner, procurement, operations, finance)?
      • Are there budget windows or fiscal timing that would make starting a pilot easier or harder? Options: Immediate/flexible, Next quarter, Next fiscal year, Depends on approvals
      • Which types of external proof do you value most—industry case studies, vendor references, before/after KPI dashboards, or technical methodology reviews? Options: Industry case studies, Vendor references, Before/after KPI dashboards, Methodology/technical review, Third-party validation

      Final Check — Readiness, Risks, and Next Steps

      • What is the single biggest risk to moving forward in the next 30 days, and why?
      • On a 1–5 confidence scale, how ready are you to engage in a diagnostic and 60–90 day pilot? Options: 1 — Not ready, 2 — Low readiness, 3 — Somewhat ready, 4 — Ready with minor steps, 5 — Fully ready
      • Who should be in the kickoff meeting from your side (name and role) to get the pilot started without delay?
      • Which immediate next step would be most useful to you right now—data extraction, pilot scoping call, ROI sketch, or reference review? Options: Data extraction, Pilot scoping call, ROI sketch/estimate, Reference/case study review, Other
      • Is there anything else about your current reality, constraints, or hopes that we haven’t covered but you believe is critical for us to know?
  7. Success

    Review results, confirm rollout decisions, and maintain a monthly review cadence to sustain gains and manage continuous improvement.

    Success Reviews

    • Executive Success Review
    • Rollout Decision Workshop (Cross-functional)
    • Operational Handover & Readiness Validation
    • Monthly Performance Review (Recurring Cadence)
    • Continuous Improvement & Value Realization Workshop (Quarterly)

    Issues & Enhancements

    • Maintain a pipeline of CI experiments to sustain or extend benefit.
    • Publish communication plan for internal and customer-facing stakeholders.
    • Readiness Checklist Overview
    • Confirm all technical and operational readiness items are completed or have mitigations.
    • Assign clear owners for daily operations and KPI monitoring.
    • Obtain formal go/no-go sign-off for the first rollout phase.
    • Document any remaining risks and mitigation owners with timelines.
    • Resolve outstanding data/integration issues and validate fixes before launch.
    • Publish final runbook, KPI dashboard access, and owner contacts.
    • Schedule a cutover checklist and dry-run/rehearsal if required.
    • Opening & KPI Snapshot
    • Provide a consistent forum to measure adherence to new policies and surface deviations rapidly.
    • Assign and track corrective actions with clear owners and deadlines.
    • Introductions & Objectives
    • Keep finance informed of realized and forecasted cash impacts monthly.
    • Publish monthly KPI dashboard and variance analysis before the meeting.
    • Log and track corrective actions in project tracker with owners and due dates.
    • Run any agreed experiments or policy changes and report results at next cadence.
    • Cumulative Value Realized
    • Validate that benefits are persisting and quantify cumulative financial realization.
    • Prioritize the highest-impact optimization opportunities for the next quarter.
    • Secure commitment for resources or funding needed to pursue prioritized experiments or system investments.
    • Refine the 12-month roadmap for continuous improvement and capability building.
    • Produce a quarterly value realization report with segment-level detail for finance and operations.
    • Launch prioritized experiments with charters, owners, and measurement plans.
    • Submit recommended funding requests for any ERP/automation investments for leadership approval.
    • Confirm whether pilot meets pre-agreed acceptance criteria and quantify the outcome against baseline.
    • Secure executive approval to proceed with the recommended rollout approach or define gating conditions.
    • Align finance and operations on expected financial realization and reporting cadence.
    • Identify any outstanding decisions or escalations required before rollout.
    • Circulate final pilot results pack with KPI tables, dataset references, and CFO summary.
    • Record executive decision and any gating conditions in decision log.
    • Assign rollout executive sponsor and project lead with target kickoff date.
    • Schedule first monthly performance review on agreed cadence.
    • Recap Pilot Learnings
    • Produce a concrete, time-bound phased rollout plan with owners and success gates.
    • Identify and assign ERP and data tasks needed before each phase.
    • Confirm training and change management activities to minimize disruption.
    • Establish rollback and escalation protocols for operational risk management.
    • Deliver detailed phased rollout plan and RACI within 3 business days.
    • Create ERP configuration task list with owners, dependencies, and due dates.
    • Develop planner training schedule and training materials for phase 1.
    • Executive Summary of Pilot Results
    • Deviations & Root-Cause Analysis
    • Data & Integration Validation
    • Define Rollout Scope & Phasing
    • Trend Analysis & Segment Performance
    • Opportunity Scan & Prioritization
    • ERP Parameter & Process Confirmation
    • Corrective Actions & Owner Commitments
    • ERP Configuration & Data Requirements
    • Detailed Metrics Review
    • KPI Dashboards & Alerts Handoff
    • Financial Impact & Forecast
    • Continuous Improvement Initiatives
    • Experiment Design & Resourcing
    • Resourcing, Roles & Training Plan
    • Acceptance Gates & Rollback Criteria
    • Risks, Trade-offs & Mitigations
    • Roadmap & Funding Recommendations
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