Retalp
Retalp builds and operates custom-engineered AI agents for enterprise operations, covering demand forecasting, replenishment, allocation, pricing, and markdown optimization. The agents integrate directly with existing systems like SAP, Oracle ERP, Shopify, and Excel, and are designed around each client's actual workflows rather than forcing template adoption. Retalp reports deployments in under 30 days with outcomes such as a 94% fill rate and three times faster planning cycles.
- AI Agents
- Artificial Intelligence
- Retail Technology
- Logistics & Supply Chain
- Enterprise Software
- Software Only
- Data & Analytics
- Manufacturing / Industry 4.0
Funding
Founders
Founder details are not available yet.
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.
Solution
Retalp provides a team of custom-engineered AI agents that are built around each client's actual operational processes, rather than requiring the business to conform to a pre-set platform. The agents handle demand forecasting, pricing, replenishment, stockkeeping, routing, and markdown optimization, connecting directly to existing infrastructure such as SAP, Oracle ERP, Shopify, WMS, and even WhatsApp or email. Retalp embeds with the client's planning team, learns their rules and exceptions, and delivers decisions every morning, with the company holding itself accountable for the resulting operational metrics. The approach is designed to produce rapid deployment, with agents live in under 30 days and achieving measurable improvements like a 94% fill rate and three times faster planning cycles.
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