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Intelligent Replenishment

Free Up Capital Trapped in Excess Inventory

We turn your sales, inventory, and supplier data into automated, item-level replenishment decisions, so less cash sits on shelves and more is free to fund your growth.

Every retailer holds inventory that fails to move for months while running short on the critical items driving top-line sales. This imbalance rarely stems from bad judgment; rather, it is the predictable outcome of ordering decisions based on static, lagging reports in a retail market that fluctuates daily. The volume of trapped working capital is substantial:

Working Capital Opportunity: PwC estimates €1.84 trillion of excess working capital could be liberated across businesses, much of it tied up in bloated inventory (PwC Working Capital Study 25/26).

Industry AI Adoption: Gartner projects that 70% of large retail and supply chain organizations will employ AI-based demand forecasting by 2030 (Gartner, 2026).

Your benefits from intelligent replenishment with NETCONOMY

Free Working Capital without Risking Availability

Increase working capital

Significantly reduce capital tied up in slow-moving stock across distribution centers and store networks.

Boost revenue and loyalty

Eliminate stockouts on your fastest-selling items and high-velocity SKUs through dynamic buffer calculations.

Automate routine purchasing

Free up planners' time by automating recurrent order proposals with configurable exception handling.

Fast reaction to demand shifts

Dynamically adapt reorder points to daily trend shifts, local events, seasonal peaks, and promotion uplift.

Explainable order recommendations

Equip buyers with transparent, explainable recommendations they can inspect, simulate, and override.

Single replenishment source of truth

Achieve a cohesive replenishment perspective across all channels, e-commerce warehouses, and retail branches.

The NETCONOMY approach: from raw data to intelligent automation

Inventory That Works as Hard as You Do

Generic demand models often fail where business impact is highest: new product introductions, promotional peaks, and phased-out lines. At NETCONOMY, we transform software into a competitive advantage by calibrating AI forecasting and replenishment logic item-by-item against your real-world constraints such as lead times, minimum order quantities (MOQ), warehouse shelf capacities, and service level targets. We integrate this logic seamlessly into your ERP and warehouse execution systems, continuously refining algorithms as consumer behavior shifts.

Demand forecasting and AI model design: Tailoring algorithmic demand sensing to your assortment dynamics and category traits.

Replenishment rules and safety stock configuration: Defining multi-echelon safety stock, lead-time variance, and automated reorder rules.

End-to-end SAP and WMS integration: Direct connectivity with SAP S/4HANA Retail, SAP CAR, legacy ERPs, and warehouse management systems.

Historical sales and inventory data cleansing: Sanitizing input feeds to filter out anomalies, stockout skews, and pandemic distortion.

Simulation and scenario planning setup: Configuring what-if modeling so planners can test supply volatility before issuing purchase orders.

Buyer enablement and continuous tuning: Comprehensive team training, change management, and ongoing promotional calibration.

SAP Predictive Replenishment

Powered by SAP Business Technology Platform (BTP)

SAP Predictive Replenishment is an intelligent Industry Cloud solution built natively on the SAP Business Technology Platform (BTP). It unifies real-time sales transactions, stock on hand, goods in transit, and supplier lead times across SAP S/4HANA, SAP Customer Activity Repository (CAR), and external data streams into a single data layer. Its AI calculation engine models expected demand curves and executes automated order proposals in seconds. Because it shares data models with SAP’s merchandising, pricing, and fulfillment solutions, replenishment decisions harmonize automatically across the enterprise without manual reconciliation.