Retail AI Canvas — KKT

An interactive map of where data and AI deliver measurable results across the retail business, published by Kitty Kat Technologies (KKT), a data, AI and automation delivery firm in Tallinn, Estonia (EU). It lays out, domain by domain, the solutions that move retail economics — from a trusted data foundation through analytics, AI and automation. KKT works with mid-enterprise companies in traditional, asset-heavy industries, starting every engagement from the business question rather than the technology. It is the retail counterpart to KKT’s Fuel AI Transformation Map.

The catalog — 12 domains, 46 services

Data Foundation

One Trusted Retail Data Foundation — Connect POS, ERP, loyalty, stock, supplier, finance, and master data into one trusted base for retail decisions.
One Version of Key Numbers — Define the key retail metrics once and make business owners accountable for the data areas behind them.
Data Input and Document Processing — Turn supplier files, invoices, contracts, forms, emails, photos, and spreadsheets into usable, validated business data.

Customers & Loyalty

Customer Segmentation and Value Targeting — Segment customers by behavior, value, basket, and response so campaigns target the groups worth growing.
Retention, Churn Prevention and Win-Back — Detect customers cooling off early and trigger targeted win-back actions before they are fully lost.
Basket Growth and Loyalty Economics — Use basket patterns and loyalty economics to grow visits, category trial, and personalized next-best offers.
Customer Feedback and Service Intelligence — Turn scattered feedback and service contacts into clear themes, satisfaction drivers, routed cases, and action workflows.

Promotions & Pricing

Promotion Performance and Campaign Intelligence — Separate promotions that create real incremental value from campaigns that mainly subsidize existing demand.
Targeted Campaign and Offer Planning — Plan campaigns by customer segment, store profile, category role, and timing instead of running one broad approach.
Price Decisions and Competitor Response — Use price sensitivity, cost changes, and competitor signals to respond faster without giving away margin.
Markdown, Clearance and Range Optimization — Flag weak sell-through and range complexity early enough to recover value before markdowns become waste.
Competitive and Market Intelligence — Track competitor prices, promotions, range moves, and market signals so commercial teams are not reacting from memory.

Stock & Availability

Demand Forecasting and Event Planning — Forecast demand by SKU, store, and period while accounting for seasons, promotions, events, and local demand shifts.
Replenishment and Availability Protection — Improve ordering logic and detect stockout risk early enough to protect availability before customers feel it.
Inventory Health and Cash Release — Identify overstock, slow movers, aging stock, and frozen cash before they become markdown or write-off problems.
Freshness and Waste Control — Track shelf-life risk and slow sell-through early enough to guide markdowns, transfers, and order changes.

Warehouse & Transport Operations

Warehouse Stock Accuracy and Flow Control — Make warehouse stock, receiving, put-away, and pick accuracy visible before depot errors become store availability problems.
Picking, Loading and Shift Productivity — Show where warehouse labor, picking, staging, and loading effort is being lost through poor flow, bad slotting, and weak exception control.
Transport Planning and Delivery Control — Use TMS-style planning and exception control to improve route quality, OTIF delivery, and transport cost.

Store Execution

Store Execution Control — Build a network-wide view of where stores are drifting from standards and where management attention matters most.
Field Tasks and Issue Escalation — Turn store and field tasks into owned workflows with deadlines, evidence, escalation, status, and closure.
Shelf, Price Label and Planogram Checks — Detect shelf gaps, planogram deviations, wrong placements, and price label issues faster than manual audits alone.
Labor Planning and Productivity — Align staffing to traffic, transactions, deliveries, and task pressure instead of relying on fixed rota templates.

Margin & Cash

Margin Visibility and Profitability Analytics — Show where margin is made or lost across stores, categories, suppliers, campaigns, and trading periods.
Rolling Financial Forecasting — Turn current trading signals and known plans into a rolling view of where profit and cash are heading.
Decision Scenarios Before Committing — Compare the financial consequences of major commercial and operating choices before leadership commits.
Working Capital and Cost Efficiency — Show where cash and cost are being absorbed through stock, payments, labor, energy, waste, and logistics.

Supplier Performance

Supplier Performance and Inbound Risk — Build a consistent view of supplier reliability and detect inbound risk before stores feel the failure.
Claims, Disputes and Value Recovery — Turn supplier claims and disputes into a structured recovery process that captures what the business is owed.
Supplier Funding and Joint Planning — Track agreed supplier support, segment key relationships, and focus joint planning where it creates real return.

Reporting & Decisions

Management Reports and Performance Views — Give every management level one trusted KPI view, automated packs, and comparable performance diagnostics.
Alerts and Plain-Language Answers — Surface the exceptions that need action and let managers ask trusted business questions without waiting for an analyst.

Loss Prevention

Checkout Fraud and Transaction Abuse — Monitor refunds, voids, discounts, loyalty activity, cashier behavior, and self-checkout patterns for suspicious abuse.
Shrinkage and Stock Loss Control — Detect unusual stock adjustments, unexplained losses, and shrinkage patterns by store, category, and process.

Workforce & AI Assistants

AI Office, Meeting and CRM Assistants — Capture meetings, extract tasks, draft updates, prepare CRM notes, and reduce routine office administration.
Legal, Contract and Compliance Assistant — Support legal, contract, policy, and compliance work with AI review, drafting, comparison, and issue spotting.
HR, Recruitment and Onboarding Assistant — Support recruitment, onboarding, policy Q&A, training content, and employee communication with AI.
Internal Knowledge and Store Operations Assistant — Give staff fast answers from SOPs, policies, manuals, product guidance, and store operating procedures.
Customer Service and Complaint Assistant — Answer routine customer questions, draft complaint responses, classify issues, and escalate complex cases with context.
Supplier Communication and Claims Follow-Up Agent — Draft supplier follow-ups, chase open claims, request credit notes, and escalate disputes before value is lost.

Expand and Monetize

Retail Media and Supplier-Funded Activation — Turn supplier funding, loyalty audiences, app reach, and campaign measurement into controlled retail media pilots.
Supplier Insight Products — Package category, basket, promotion, launch, and shopper insight into supplier-facing products or premium collaboration tools.
In-Store and Digital Channel Monetization — Monetize high-traffic stores, screens, receipts, checkout, circulars, and digital touchpoints without damaging customer trust.
Paid Loyalty and Member Benefits — Turn loyalty from discount distribution into paid benefits, supplier-funded privileges, and stronger customer commitment.
Partner Ecosystem and Lifecycle Offers — Use local trust and loyalty access to connect customers with relevant partner services and lifecycle offers.
Selective Platform and Partnership Models — Explore marketplace, embedded finance, fulfillment monetization, and data collaboration only where maturity and demand justify it.

Kitty Kat Technologies · Retail positioning · Fuel AI Transformation Map · Text version (llms.txt)