IFS Applications Supply Chain

Statistical and ML-driven forecast models using historical sales, seasonality, trends, and causal factors. Produces consensus demand plans that feed MRP, procurement, and inventory replenishment automatically.

Calculates optimal replenishment quantities and timing across locations using reorder points, min/max, and demand-driven MRP. Balances service levels against carrying costs to minimise stockouts and overstock.

Centralised supplier scorecards tracking delivery performance, quality metrics, pricing compliance, and risk indicators. Enables data-driven sourcing decisions and proactive supplier development programmes.

Freight rate management, carrier selection, shipment consolidation, route optimisation, and tracking integration. Reduces shipping costs by optimising load planning and automating carrier communication via EDI or API.

End-to-end visibility from purchase order through production to customer delivery, with real-time status dashboards and exception alerts. Enables proactive issue resolution before delays impact downstream operations.

Coordinates inventory and distribution across multiple facilities with inter-site transfer planning, allocation rules, and network optimisation. Ensures the right stock is in the right location to minimise fulfilment costs.

KPI dashboards covering fill rates, lead times, inventory turns, and supplier performance with drill-down capability. Supports strategic decisions on network design, safety stock policies, and sourcing strategy.

Electronic Data Interchange for automated PO, ASN, and invoice exchange with trading partners. Supplier portals provide self-service access to forecasts, orders, and payment status, reducing email-based coordination.