Retalp builds and operates custom-engineered AI agents for enterprise operations, covering demand forecasting, replenishment, allocation, and pricing. The agents integrate directly with existing systems like SAP, Oracle ERP, and Excel, delivering daily decisions such as SKU-level forecasts and purchase orders. Clients include Fortune 500 FMCG distributors and national pharma chains, with deployments achieving a 94% fill rate in under 30 days.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise operations teams at large retailers and distributors rely on complex, interconnected systems for demand forecasting, replenishment, and allocation. Standard software platforms force these teams to adapt their workflows to rigid templates, leading to gaps that are patched with manual Excel workarounds and ultimately causing planners to abandon the tools and revert to spreadsheets.
Target Audience
Retalp serves operations and planning teams at large enterprises, including Fortune 500 FMCG distributors, national pharmacy chains, listed apparel companies, and automotive parts manufacturers with complex supply chains.
Features
- Custom-built AI agents for demand forecasting, pricing, replenishment, allocation, production scheduling, and markdown optimization
- Direct integration with existing enterprise stacks, including SAP, Oracle ERP, POS, e-commerce, WMS, supplier EDI, and Excel
- Daily automated outputs such as SKU-level store forecasts, capital-aware purchase orders, and live rebalanced inventory transfers
- Agents are designed around the client's specific operational rules, exceptions, and workarounds rather than generic templates
- Continuous tuning and accountability for results, with a stated focus on planner trust and adoption