Data Foundation
Build the trusted base that every retail decision depends on.
Industries — Retail
Data & AI for retail.
Your data is already there — POS, ERP, loyalty, stock, supplier, finance, master data. In mid-sized retail the gaps are not abstract IT problems: unclear promo ROI, inconsistent margin views, poor fresh ordering, supplier disputes, and store reports nobody fully trusts.
How the path runs
Strengthen the core, optimize and grow, then expand and monetize.
The staged model behind the canvas. Strengthen the core first, optimize where it pays, and expand into new revenue only when the core is ready.
- Stage 1
Strengthen Core Operations
Create a common factual base and reveal value leakage; then improve consistency, exception handling, and management response.
- Stage 2
Optimize and Grow
Use evidence, forecasting, segmentation, and decision support to improve economics — and embed better decisions into recurring work, reducing manual dependence.
- Stage 3
Expand and Monetize
Use stronger customer access, supplier relevance, and operating intelligence as strategic assets.
What we cover
Across the retail business.
The domains of the Retail AI Canvas — where AI and data create value across a mid-sized retailer, from the data foundation to new revenue pools.
Stock & Availability
Stop carrying too much of the wrong stock while losing sales on the right products.
Margin & Cash
Give leadership a clearer forward view of where profit and cash are moving.
Reporting & Decisions
Turn trusted data into faster management decisions.
Store Execution
Make the store network closer to the plan.
Warehouse & Transport Operations
Make warehouse and transport execution visible before depot and delivery problems hit stores.
Supplier Performance
Make supplier performance, claims, and commercial value visible before problems hit stores or money is left behind.
Loss Prevention
Detect leakage earlier and focus investigation where value is genuinely at risk.
Workforce & AI Assistants
Give store, field, head-office, HR, legal, commercial, and service teams practical AI support for the work they already do every day.
Customers & Loyalty
Use loyalty, transaction, basket, campaign, and feedback data to understand customers as different groups with different value, needs, and risks.
Promotions & Pricing
Spend commercial money where it creates real return, not where it only subsidizes demand that would have happened anyway.
Expand and Monetize
Use stronger customer access, supplier relationships, store traffic, loyalty data, digital channels, and local trust to create new revenue pools beyond classic product margin.
Start from the pressure you feel
- Improve margin and cash control
- Reduce stockouts, waste and overstock
- Make promotions and pricing more profitable
- Grow customer value and loyalty
- Improve store execution and field control
- Make reporting and decisions faster
- Improve supplier performance and claims
- Improve labour productivity and scheduling
- Reduce fraud, leakage and control gaps
- Explore new revenue pools beyond classic retail
The retail playbook
Retail AI Canvas — 43 services across 11 domains.
The full open playbook, built from real engagements and updated quarterly, with an advisor that walks you through it.
Open the playbook →Retail diagnostic, two weeks.
Two weeks to see where the canvas applies to your business, and what to build first.