Case Study: Phoenix Analytics achieves 10% transportation cost savings and network optimization with anyLogistix

A anyLogistix Case Study

Preview of the Phoenix Analytics Case Study

Optimization of an FMCG distribution network and supply chain demand forecasting

Phoenix Analytics, an FMCG supply‑chain client operating 11 plants, 4 distribution centers, over 250 SKUs, >200 distributors and 20K+ direct customers, faced rising transportation costs, poor capacity utilization and the need for targeted investments to meet growing demand. To address these challenges they engaged anyLogistix to build a supply‑chain digital twin and run data‑driven network optimization and scenario analyses.

anyLogistix delivered a digital‑twin solution (integrated with Python, Excel and Power BI) with customer clustering, custom constraint building, scenario comparison and line‑utilization dashboards. The work produced measurable gains — about a 10% reduction in transportation costs, identified optimal line/plant investment locations, double‑digit sourcing savings, improved truck requirement plans for 3PL negotiations, and defined safety‑stock and inventory strategies to meet service targets.


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