tRS, The AI-Enabled Retail Intelligence Platform

tRS is an AI-Enabled retail analytics platform that uses structured data to make sure you get effective, actionable insights.

— Larry Ellison, Oracle Chairman & CTO

AI is not the answer—it’s a method.

A method that requires structured, consistent, and context-rich data to solve real business problems.

That’s where most organizations get stuck. The tools are available—machine learning, forecasting engines, pricing algorithms—but the data isn’t ready. It’s fragmented, siloed, or modeled inconsistently. As a result, the tools fail before they even start.

The Retail Score:
Your Structured Data Layer

The Retail Score (tRS) is the foundation that makes your tools effective.

AI That Is Designed For Retail

tRS doesn’t just prepare your data for AI—it brings AI to life in ways that are practical, intuitive, and impactful for retail teams. That’s why our platform is AI-enabled, so you can easily access and apply powerful insights to boost your retail performance.

tRS offers two complementary AI approaches:
Ask AI

An intuitive conversational tool for exploring your data, and a suite of purpose-built models designed to solve specific planning, pricing, and inventory challenges.

Advanced AI

A natural language interface that allows users to explore their data conversationally. Ask questions like “Which stores underperformed last week?” or “What’s my sell-through by channel?” and get immediate, context-aware answers based on live, structured data. It’s a fast, user-friendly way to generate insights without needing to navigate filters, build reports, or write code.

Purpose-Built
AI-Enabled Models

tRS also offers targeted, high-impact models that solve specific planning and merchandising challenges. These include:
  • Price Elasticity Modeling – Understand how demand shifts in response to pricing changes
  • Markdown Optimization – Determine the best timing and depth of markdowns to preserve margin
  • Inventory & Buy Planning – Align future buys to demand forecasts at the style/color/size level
  • Returns Forecasting – Predict returns to improve planning and reduce overstock risk
Because these models run on the fully structured tRS data layer, they’re not theoretical—they’re immediately usable, reliable, and tuned for real retail workflows.

Why It Matters

The future isn’t about having AI—it’s about being ready to use it.
The Retail Score gives your team the structured data environment and intelligent tools to unlock real value—quickly, clearly, and at scale.

What Retailers
Say About tRS