Forecast demand for thousands of product-customer combinations, align production schedules and material flows with factory capacity, and anticipate bottlenecks before they reach the line, all integrated with your ERP.
Demand varies by product, customer, and season. Managing 2,000+ individual time series manually is impossible.
Aligning factory capacity, material lead times, and labor availability with uncertain demand creates constant production fire-drills. Bottlenecks show up on the line, not in the plan.
Bottom-up (SKU-customer) and top-down (total demand) forecasts never agree. No system reconciles them automatically.
ERP, CRM, and production planning systems don't share data. Planners rebuild context manually for every decision.
Weekly forecasts at SKU-customer, SKU, and aggregate levels with hierarchical reconciliation and external factor integration
AI-driven scheduling that factors in material lead times, capacity constraints, and demand forecasts
Balance production costs, holding costs, and service levels with dynamic replenishment recommendations
Forecasted simultaneously per week across SKUs and customers
Forecasts covering 4 months of production planning
From kickoff to operational MVP
Bottom-up and top-down forecasts aligned automatically