Eqwitty AI ReadinessAI readiness assessment for retail
Retail AI lives or dies on customer and inventory data. Personalization, demand forecasting and pricing all depend on whether the organization can join what happens in stores, online and in the supply chain into one picture it trusts.
The diagnostic asks retail organizations about data foundations, use-case returns and customer experience in the language of merchandising, marketing and operations, without requiring anyone to know analytics jargon.
Where AI value shows up first in retail
The first credible returns typically come from demand forecasting and replenishment, personalized recommendations and marketing, markdown and pricing optimization, and customer-service automation.
How the questions change for retail
These questions are asked in the retail edition instead of the standard wording. The pillar, section and scoring are pinned, so your score stays comparable with organizations in other industries.
- AI Strategy & ExperienceIn the last year, has AI noticeably changed your products or the customer experience — and do you know whether it made customers more valuable over time?Many retailers add things like personalised recommendations but never check whether customers actually spent more as a result. Knowing — either way — is the point.Answer options are rewritten for this industry, from “No” to “AI-driven personalisation is a main reason customers choose us, and we can prove the value”.
- AI Use-Case PortfolioIn the last year, what was the biggest single payoff from one of your AI tools — in money terms? (For retailers this is often more browsers becoming buyers, better stock forecasting, smarter discounts, or less fraud.)Pick the clearest number — for example extra sales from recommendations, or days of excess stock removed.Answer options are rewritten for this industry, from “We don't have one live yet” to “$10M or more (e.g. a real jump in sales from better recommendations)”.
- Operating Models & EcosystemsIs there one named person answerable for what AI delivers — and are your different AI efforts (recommendations, pricing, stock, fraud) pulling together under one plan?Retailers often end up with separate AI teams per area that never coordinate. This asks whether they are joined up under one owner.Answer options are rewritten for this industry, from “No one is clearly answerable” to “An executive owns it (e.g. a Chief AI or Chief Customer-Data Officer), with one joined-up plan”.
Pillars this edition emphasizes
All nine pillars are scored for every organization. These are the ones where the retail edition changes what is asked.
One scoring model, comparable across industries
The industry edition changes wording, examples and answer options, never the maths. Every organization is scored on the same nine weighted pillars and lands in one of the same five levels, which is what makes peer benchmarks meaningful. The full method is on the methodology page.
Other industry editions
Find out where you stand
A 15-minute diagnostic, then your nine-pillar score, peer benchmarks and a 90-day plan you can act on Monday. One-time payment of CA$19.80 per report.