Case Study: ICP Group achieves 18% supply chain cost savings and a scalable digital twin with anyLogistix

A anyLogistix Case Study

Preview of the ICP Group Case Study

Digital Twin For Supply Chain Design And Cost Reduction

ICP Group, one of the world’s largest coatings, adhesives and sealants manufacturers, faced supply-chain complexity after rapid growth and acquisitions: over 20 North American sites, nearly 30 distribution centers, 10,000+ SKUs, rising demand and frequent disruptions. To gain end-to-end visibility and build a digital twin for network optimization, ICP partnered with SimWell and the anyLogistix supply‑chain simulation and optimization platform.

Using an integrated data architecture (SAP, Azure, Alteryx, Power BI) and anyLogistix-driven models built with SimWell, ICP tested scenarios for plant siting, product allocation, DC counts/locations and transport strategies. The digital twin improved coverage metrics as DCs were reconfigured and drove significant cost reductions — roughly 18% savings versus the 2022 historical baseline and 7% versus the alternative baseline — enabling scalable, ongoing network optimization with anyLogistix.


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ICP Group

Kendra Sakoian

ICP Group


anyLogistix

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