Know what to stock, where, and when, powered by AI

RUSA Analytics helps retail enterprises unlock the power of data — from inventory intelligence to personalized customer experiences

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AI-powered retail intelligence driving smarter decisions across every channel

Solutions for modern retail enterprises

Helping retailers optimise inventory, forecast demand and deliver personalised experiences at scale.

Inventory and supply chain by RUSA Analytics

Inventory & supply chain

Real-time inventory intelligence that eliminates stockouts, reduces overstock, and optimizes replenishment

Store and omnichannel operations by RUSA Analytics

Store & omnichannel ops

Data intelligence connecting in-store and digital operations for a seamless customer experience

Demand forecasting

ML-powered demand prediction across SKUs, seasons, and channels — reducing waste and improving availability

Customer analytics

Unified customer intelligence driving personalization, loyalty, and lifetime value at scale

Pricing and promotions by RUSA Analytics

Pricing & promotions

AI-driven pricing optimization and promotion effectiveness analysis across categories and channels

Case Studies

Retail Promotion Profitability Intelligence

A RUSA case study for retail and e-commerce teams, connecting sales lines, promotion calendars, product costs, discounts, and returns for retail promotion profitability.

Ecommerce Checkout Funnel Intelligence

A RUSA case study for retail and e-commerce teams, connecting consented session events, cart changes, payment attempts, and completed orders for ecommerce checkout funnel.

Retail Returns And Refund Intelligence

A RUSA case study for retail and e-commerce teams, connecting order lines, return authorizations, reason codes, inspections, and refunds for retail returns and refund.

TESTIMONIALS

RUSA Analytics demonstrated how sales, inventory, and fulfillment measures can be connected so teams can spot exceptions without switching between disconnected reports.

Retail Operations

Retail Operations Director

The dashboard approach helped structure conversations around product performance, stock availability, and opportunities to refine assortment decisions.

Merchandising Analytics

Merchandising Analytics Lead