A fast-growing e-commerce and retail player, operating across multiple sales channels (direct-to-consumer, marketplaces, wholesale), was experiencing serious inventory imbalances:

• Excess stock of slow-moving SKUs, leading to high storage costs and risk of obsolescence.
• Stockouts on key product lines, directly affecting customer experience and sales performance.
• Lack of visibility and coordination between purchasing, sales, and supply chain teams, resulting in reactive replenishment and inefficient inventory planning.

The client’s objective: reduce excess stock, secure service levels, and optimize working capital across the product portfolio.

CoreChain launched a structured diagnostic, combining data analytics and stakeholder interviews.

Collected data:

• Sales history per channel and SKU (seasonality, promotions, sales variability).
• Inventory aging analysis (stock coverage, turnover rate, slow movers, excess & obsolete).
• Purchasing parameters (MOQ, lead times, supplier reliability).
• Service level targets by product segment.
• Financial impact (working capital tied up in stock, storage costs, obsolescence write-offs).

• Lean inventory management principles (waste elimination, flow optimization).
• ABC/XYZ segmentation and differentiated stock strategies.
• Demand variability analysis and buffer stock modeling.
• Risk analysis (FMEA) to identify vulnerabilities in supply continuity.
• Benchmarking against industry best practices.

CoreChain defined a targeted action plan, including:

• Redesign of inventory policies by product category, with clear stock coverage rules adapted to demand variability.
• Implementation of dynamic safety stock models, calibrated to lead times and sales volatility.
• Replenishment strategy optimization, integrating purchasing constraints (MOQ, lead times, supplier performance).
• Financial scenario modeling to estimate savings potential per action lever.
• Recommendations on supplier negotiation levers and order batch sizing.

• Phase 1:

Quick wins — focus on top 30% of SKUs generating 70% of excess stock.

• Phase 2:

Deployment of the new inventory management model across all categories.

• Phase 3:

Integration of monitoring tools (Power BI dashboards, inventory health tracking).

Delivered tools:

• Inventory monitoring dashboard (turnover rate, stock aging, service level).
• Simulation templates for purchasing and replenishment planning.
• Training sessions on inventory policy execution for procurement and supply chain teams.

• Inventory reduction of 22% across the full product portfolio within the first 9 months.
• Over $3.5 million in working capital freed through optimized stock levels.
• Service level improvement of +10 points on top-selling SKUs.
• Reduction in storage and obsolescence costs.
• Strengthened collaboration between purchasing, supply chain, and sales teams, with shared visibility on stock health and replenishment decisions.
• Supply chain governance reinforced through clear processes and real-time data monitoring.