Fashion, Footwear & Accessories Retail Intelligence

The retail Intelligence Platform Built for Fashion, Footwear, & Accessories Brands

A single data narrative across the business

The Retail Score connects merchandising, stores, ecommerce, wholesale, inventory, and finance data into one retail intelligence model — so every team works from the same numbers, definitions, and calendars.

Fashion Retail Intelligence

Planning + finance

Sell-through

61%

Season to date

Gross Margin

58.2%

Enterprise

Inventory Risk

Styles flagged

AI Insights

Auto

Analysis workflows

Demand shift: 6 top styles trending above forecast

Demand

Margin pressure: 4 categories trending below target

Margin

Inventory risk: 9 locations understocked in key sizes

Inventory

Fashion brands often run the business from different versions of the truth.

Merchandising, stores, ecommerce, finance, production, and wholesale teams all analyze the same business — but often using different reports, definitions, calendars, and data extracts. The result is constant reconciliation instead of clear operational decisions.

Planning

Merchandise planners forecasting demand and sell‑through in spreadsheets built from exported data.

Stores

Store operations teams relying on POS reports that don’t reflect ecommerce demand or inventory movement.

Ecommerce

Digital teams analyzing ecommerce performance separately from store and wholesale activity.

Finance

Finance teams rebuilding reports to reconcile revenue, margin, and inventory valuations.

Production

Production and supply teams tracking purchase orders, vendors, and delivery schedules in separate tools.

Wholesale

Wholesale teams measuring orders and invoices independently from retail demand signals.

The result: teams spend more time reconciling numbers than acting on what the business is telling them.

ERP POS Ecommerce Inventory Traffic Finance Wholesale

How the Platform Works

The simplest way to understand tRS is as a connected operating layer for fashion retail: systems feed a retail model, and that model powers reporting, AI, and action.

Source systems

Business systems generate the raw data

tRS pulls data from the systems different teams already use to run the business — including ERP, POS, ecommerce platforms, inventory systems, and finance systems.

Retail model

The data is structured into one retail model

Products, stores, channels, inventory, customers, and financials are linked into one consistent retail view.

Reporting + AI

Reporting and AI work from the same model

Teams can easily build reports from the connected retail model and automate them across the business — while AI analyzes the same data. That means the whole organization works from the same definitions, calendars, and logic without constantly rebuilding reports.

Execution

Teams can act faster

Planning, stores, ecommerce, and finance can see the same issues earlier and make decisions from the same operating truth.

Systems → Retail model → Reporting + AI → Execution

What Fashion Teams Can Do When the Business Runs on One Intelligence Model

When the retail intelligence model powers reporting and AI together, teams can move faster from data to decisions across planning, stores, ecommerce, and finance.

The platform is not just reporting infrastructure — it solves specific operational problems across merchandising, stores, ecommerce, and finance.

Demand signal clarity

Combine store sales, ecommerce demand, and inventory flow to understand true product demand earlier.

Inventory visibility

Understand where inventory risk exists across stores, channels, and sizes before it becomes excess or lost sales.

Margin performance

Connect product mix, markdowns, and inventory positions to understand what is driving margin changes.

Store performance

See traffic, conversion, labor, and revenue together so store performance can be managed operationally.

Returns intelligence

Track return rates by product, channel, and customer behavior to understand the true impact on demand and margin.

Orders vs invoices

Compare wholesale orders to invoiced shipments to identify delivery gaps, delays, and revenue risk earlier.

Pricing performance

Understand how pricing decisions affect demand, conversion, and margin across products and channels.

Markdown management

See where markdown pressure is building across styles, stores, and channels before it erodes margin.

AI for Fashion, Footwear, & Accessories Retail

Because AI runs on the same connected retail model as reporting, it analyzes the fashion retail business the same way your teams do — across styles, sizes, stores, ecommerce channels, inventory, and financial outcomes.

Surface fashion retail issues automatically

The platform continuously monitors the retail model and flags issues common in fashion operations — size breaks, inventory imbalances, margin pressure, demand shifts by style, and store performance changes — without teams needing to build reports first.

Answer merchandising and retail questions instantly

Instead of manually creating reports across ERP, ecommerce, and POS systems, teams can ask questions about styles, sizes, stores, and channels and receive simple explanations based on the connected retail data.

Solve multi‑step operational problems

Because the retail model connects suppliers, products, inventory, stores, and customers, AI can trace operational problems across the business.

Example: a supplier purchase order is going to be late. The platform immediately identifies which SKUs are affected, which stores will run out of stock, and the expected revenue and margin impact — without anyone needing to manually build or reconcile reports.

LIVE AI QUESTIONS

Key Operational Areas Powered by the Retail Intelligence Model

The Retail Score becomes the operational intelligence layer for two of the most important areas of a fashion business: merchandise planning and store operations.

Merchandise planning intelligence

Understand demand, inventory exposure, sell‑through, and margin performance across styles, sizes, stores, ecommerce, and wholesale. Because planning runs on the same model as the rest of the business, planners can see demand signals earlier and act before issues turn into markdowns or lost sales.

Store operations intelligence

Manage store performance operationally using connected traffic, labor, conversion, inventory availability, and revenue data. Territory leaders and store managers work from the same information as headquarters, allowing faster operational decisions across the network.

Bring merchandising, stores, ecommerce, and finance onto the same operating truth.

The Retail Score helps fashion, footwear, and accessories retailers connect merchandising, store, ecommerce, and finance data into one intelligence layer for faster analysis and better decisions.

Our Clients

We focus on delivering a tangible return on investment be it through improved productivity, finding growth or aiding smarter decision-making. Collectively, we have over 50 years of experience in retailing, retail analytics, data management and insights.