RightChain Network Optimization System

Powered by RightChain.ai

RightChain’s Supply Chain Network Optimization System 2.0 optimizes and simulates supply chain networks determining the optimal number, location, size and role of supply chain facilities including warehouses, distribution centers, factories, and ports. The system suggests and models supply chain scenarios incorporating individual product dimensions, weights, values and volumes; efficient logistics flow paths; economic load designs; and rate sensitivities including freight rates, inventory carrying rates, depreciation rates, wage rates, and occupancy rates. The Supply Chain Network Optimization System 2.0 minimizes total supply chain costs including outbound transportation costs, inbound transportation costs, inventory carrying costs, warehousing costs, and real estate costs while simultaneously meeting or exceeding customer service requirements and complying with network constraints. The Supply Chain Network Optimization System 2.0 is cloud-based, AI-enabled, subscription-priced, and fully scalable with extensive data analytics and visualization capability. The system has been used in the optimization and simulation of many successful supply chains including adidas, AT&T, Coca-Cola, Dell, Disney, GE, Kraft Heinz, Nutrisystem, Pratt and Whitney, Serta, United Technologies, among many others. Total supply chain cost savings range from 7% to 28%.