The Double Scourge of Inventory
Stockouts mean lost clients and evaporated margins. Overstock means tied-up cash flow and the risk of obsolescence. Too many SMEs suffer from both simultaneously due to a lack of predictive demand visibility.
Experienced buyers rely on intuition and historical data. However, faced with seasonality, supplier delays, and demand volatility, human intuition quickly reaches its limits.
How AI Changes the Supply Chain
- Demand forecasting: AI analyzes historical sales, seasonality, trends, and external signals.
- Optimal stock: Dynamic calculation of reorder points and safety stock levels per SKU.
- Automated replenishment: Purchase orders generated and pre-validated based on forecasts.
- Supplier scoring: AI evaluates lead times, quality, and prices to recommend the best supplier per item.
- Dormant overstock alerts: Detection of low-rotation items with suggested liquidation strategies.
Why This Is Crucial for SMEs
A trading SME often ties up 20% to 30% of its working capital in inventory. When better managed, this capital is returned to the treasury for investment or growth. It is a major, underutilized financial lever.
ERP Integration: Not Just Another Tool
Supply chain AI is most effective when connected to your ERP. Forecasts drive purchasing, order processing, goods receipt, accounts payable, and margin analysis. One single source of truth ensures consistent decision-making from end to end.
Observed Results
- -30% stockouts
- -25% value tied up in overstock
- +15% customer service rate
- Working capital freed for reinvestment in growth
- Buyers refocused on high-value negotiation and strategic sourcing
