The issue is not inventory alone – it is differentiated control.
The sample company has a workable governance foundation, but inventory control is not sufficiently differentiated by economic relevance, turnover, margin and risk. The largest cash levers sit in A/L inventory, parameter quality, E&O and portfolio economics. Management should avoid broad inventory cuts and instead target structural drivers while protecting service.
€1.7m combines high economic relevance with low turnover.
Lead times, MOQ, lot sizes and safety stocks need systematic validation.
Low-margin / low-turnover items require business decisions, not only inventory actions.
Seven dimensions show where control is strong and where cash leaks remain.
| Dimension | Score | Maturity | Priority |
|---|---|---|---|
| Strategy & Financial Targets | 68% | Controlled | MEDIUM |
| Demand & Forecast Quality | 54% | Developing | HIGH |
| Master Data, ABC/LMH & Planning Parameters | 46% | Developing | VERY HIGH |
| Safety Stock, Service Levels & Inventory Control | 52% | Developing | HIGH |
| Excess, Obsolescence & Portfolio Economics | 44% | Reactive | VERY HIGH |
| Suppliers, Procurement & Lead Times | 63% | Controlled | MEDIUM |
| Governance, KPIs & Improvement Control | 67% | Controlled | MEDIUM |
Three priorities – not fifteen simultaneous initiatives.
Reduce capital tied up in A/L inventory
Why it matters: A/L inventory combines high economic relevance with low turnover. €1.7m is tied up in this segment in the sample data.
Management action: Validate demand, safety stocks, MOQ, lot sizes and purchasing model for the top A/L items. Move suitable items to demand-driven or MTO logic.
Owner: Supply Chain / Procurement · Horizon: 0–60 days
Recalibrate ERP planning parameters
Why it matters: Lead times, MOQ and lot sizes are not consistently aligned with actual operating conditions, so the ERP may generate systematically inflated inventory proposals.
Management action: Validate A-items first, correct lead times, MOQ, lot sizes and safety stocks, then establish governed parameter reviews.
Owner: Planning / Procurement / Master Data · Horizon: 0–90 days
Clean up low-margin / low-turnover portfolio
Why it matters: Part of the portfolio ties up cash while contributing too little margin and adding operational complexity.
Management action: Combine margin, turnover, inventory and complexity. Decide on price, MTO, MOQ, variant consolidation or phase-out.
Owner: Management / Sales / Supply Chain / Finance · Horizon: 30–90 days
Red flags reveal patterns behind the inventory number.
High-value low-turnover inventory is not managed with sufficiently differentiated policies.
Evidence: €1.7m A/L inventory; review top-value items first.
Inventory optimization alone is insufficient where products have weak economic contribution.
Evidence: €480k in low-margin / low-turnover items in the sample.
Planning parameters do not consistently reflect actual lead times, MOQ and lot-size conditions.
Evidence: Risk of structural overstock and false replenishment proposals.
Safety stock may be absorbing forecast and supply variability instead of explicit risk.
Evidence: Recalculate after separating demand error, lead-time variability and service targets.
Inventory by economic relevance and turnover.
The sample matrix shows €8.4m inventory split across nine ABC/LMH segments. A/L is highlighted because high value and low turnover combine into the strongest working-capital exposure.
| ABC | Low Turnover | Medium Turnover | High Turnover |
|---|---|---|---|
| A | €1.70m | €1.30m | €1.50m |
| B | €0.65m | €0.75m | €0.80m |
| C | €0.55m | €0.55m | €0.60m |
Recommended rule: recalculate ABC/LMH regularly and use the segment as a trigger for differentiated service levels, replenishment methods, review frequency and ERP parameters.
Not every inventory problem should be solved with inventory optimization.
Margin × Turnover decision matrix
Protect service and availability.
Improve price/cost and process efficiency.
Selective stock optimization and MTO review.
€480k sample exposure. Review price, MOQ, MTO, variants or phase-out.
Management principle
If an item has low turnover, high inventory and weak economic contribution, optimizing the replenishment parameters may be the wrong answer. The first question becomes whether the product should remain in the portfolio and under which commercial conditions.
Translate segmentation into system rules.
| Segment | Base strategy | Safety stock | Lot / order logic | Review |
|---|---|---|---|---|
| A/L | MTO / demand-driven preferred | Low / individual | Small lots; challenge MOQ | Monthly |
| A/M | MRP / Forecast | Differentiated | Optimized | Monthly |
| A/H | MRP / Auto | Service-level based | Frequent replenishment | Monthly |
| B/L | Demand / consumption | Low | Small | Quarterly |
| B/M | Standard MRP | Standard | Standard | Quarterly |
| B/H | Automated replenishment | Standard | Automated | Quarterly |
| C/L | MTO / single purchase | As low as possible | On demand | Semiannual |
| C/M | Reorder Point | Low | Standard | Semiannual |
| C/H | Kanban / Reorder | Standardized | Economic lots | Semiannual |
These rules are a starting point, not a universal prescription. Shelf life, regulatory constraints, supplier risk and customer criticality may override the base segment strategy.
Quantify opportunity without turning estimates into promises.
The opportunity must be validated against real demand, service requirements, supplier agreements and implementation constraints.
| Lever | Illustrative potential | Primary actions |
|---|---|---|
| A/L inventory reduction | €350–500k | Demand validation, safety stock, MOQ, lot size, MTO |
| E&O / slow movers | €250–350k | Consumption plans, returns, alternative use, sell-off, phase-out |
| MOQ & lot-size optimization | €220–320k | Supplier negotiation and production lot review |
| Safety-stock recalibration | €180–280k | Service-level and variability-based calculation |
| Portfolio decisions | €200–350k | Price, MTO, variant consolidation, phase-out |
Reference calculation: €42m COGS and €8.4m average inventory correspond to about 73 DIO. One DIO equals roughly €115k of inventory at this cost base.
From transparency to system-level control.
- Inventory baseline and DIO
- A/L & E&O
- Open PO review
- Top parameter deviations
- ABC/LMH
- Service levels
- Safety-stock logic
- Portfolio review
- ERP parameter changes
- Exception Management
- Inventory review cadence
- Finance-validated benefit tracking
Manage inventory, service and cash together.
| KPI | Illustrative baseline | Cadence | Owner |
|---|---|---|---|
| Inventory Value | €8.4m | Monthly | Supply Chain / Finance |
| DIO / DOH | 73 days | Monthly | Supply Chain / Finance |
| Inventory Turns | 5.0x | Monthly | Supply Chain |
| A/L Inventory | €1.7m / 20.2% | Monthly | Planning / Procurement |
| E&O | €620k / 7.4% | Monthly | Supply Chain / Finance |
| OTIF / Fill Rate | 96.2% | Weekly / Monthly | Operations / Supply Chain |
| Forecast Bias | +8% | Monthly | Demand Planning |
| Cash Release | €0 baseline | Monthly | Finance / Supply Chain |
Decisions required from management.
- Approve ABC/LMH as the standard inventory segmentation.
- Review the complete A/L portfolio within 60 days.
- Validate ERP parameters for all A-items first.
- Move low-margin / low-turnover items into a portfolio decision process.
- Establish a monthly inventory & working-capital review with Finance validation.
How to interpret the report.
This sample is a management diagnostic, not an audit or a guarantee of savings. All company, inventory and opportunity figures are fictitious. In a real engagement, working-capital opportunity must be validated with actual ERP, inventory, demand, margin, supplier and service data.
- 36 questions in 7 dimensions
- Scale: 1 = not present, 5 = integrated / continuously improved
- ABC/LMH, portfolio economics and ERP strategies are management frameworks, not rigid prescriptions
- Cash opportunity is separated from realized benefit