Case Study: ITC Infotech achieves predictive FMCG supply chain risk management with anyLogistix digital twin and AI

A anyLogistix Case Study

Preview of the ITC Infotech Case Study

Fast moving consumer goods supply chain risk management with artificial intelligence

ITC Infotech was engaged to help an FMCG personal-care company manage a highly variable, disruption-prone CPG supply chain spanning factories, warehouses, hubs and distribution centers across India. Using anyLogistix supply chain software and AI, ITC Infotech needed a digital tool to anticipate demand and lead-time fluctuations, supplier delays, quality issues and irregular events (weather, road closures, holidays) that threaten KPIs like fill rate, stock levels and logistics cost.

ITC Infotech built a supply chain digital twin in anyLogistix (leveraging the AnyLogic engine in Studio Edition), integrating ERP data, a demand‑sensing tool and custom factory simulation components. The solution produces 15‑day detailed forecasts of stock, fill rate and logistics cost, supports AI‑driven automated root‑cause analysis of underperformance, and lets managers explore corrective actions; using anyLogistix, ITC Infotech now captures current snapshots, predicts KPI behavior and traces causes of future issues to improve decision making.


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