Automate the statistical forecasting process and apply machine learning algorithms to predict demand. Classify your products based on the patterns their history exhibits and select algorithms based on that classification. Use sophisticated forecasting algorithms combined with machine learning and pre-and post-processing algorithms. Refine short-term forecasts to drive better fulfillment and inventory reduction. Combine multiple demand signals with statistical forecasts and collaborate to create accurate demand plans.

Use less inventory to buffer supply chain risk and uncertainty with multi-echelon inventory optimization. Establish optimal inventory targets that enable you to maximize profits, while ensuring customer service levels. Provide significant improvements over textbook calculations with proven algorithms. Buffer against forecast error and other demand-side uncertainty to support your demand-driven supply chain. Visualize your supply chain network and quickly gain insights into inventory drivers.

Generate feasible supply plans to meet demand with accurate inventory targets and efficient capacity utilization. Model across locations and multilevel bills of material to cover the entire supply chain network with full depth, not just a subset of parts. Utilize a constrained or unconstrained heuristic-based or optimization technique to develop a tactical or operational supply plan. Create an operational or order-based supply plan, with allocations and repromising of orders through prioritization rules.