REOR - 2026 Pricing, Features, Reviews & Alternatives

REOR is a retail intelligence platform that unifies planning, demand forecasting, inventory optimisation, and business analytics in a single integrated system for retail operations. The platform serves fashion retailers, footwear and luggage businesses, jewellery merchants, supermarkets, multi channel retail brands, and fast moving consumer goods brands in quick commerce environments. The solution was founded in two thousand nineteen in Bangalore and supports twelve retail businesses operating seven thousand two hundred stores and optimising forty three million stock keeping units every week. The platform is delivered with hands on retail consulting services that support configuration and system optimisation for specific operational requirements.

The platform operates through three core modules supported by an underlying forecasting engine. REOR Planning provides merchandise, assortment, and range planning capabilities with open to buy controls that manage purchasing budgets and inventory investments across product categories. REOR Demand Forecasting offers predictive analytics for future product demand and enables automated re ordering workflows based on forecasted requirements. REOR Inventory Intelligence handles automatic allocation and replenishment across physical stores and digital channels to align stock distribution with demand patterns and reduce stockouts or excess inventory. REOR Business Three Sixty serves as the analytics layer with comprehensive reporting on sales performance, inventory levels, margin analysis, and productivity metrics across the retail operation.

The platform performs inventory optimisation calculations every week to maintain stock positions aligned with demand signals and business objectives. Its architecture supports integration with existing retail technology ecosystems through application programming interfaces and connectors. The security infrastructure protects sensitive inventory and sales data as well as strategic planning parameters to meet enterprise deployment requirements. Implementation includes advisory support that guides deployment strategies and ongoing optimisation of the platform within varied retail contexts.