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Industry use cases · adaptive AI in the wild

Pick an industry. See what reshapes.

Every industry has a different "wrong-screen-for-the-wrong-person" tax. Below is a working list, with concrete adaptive patterns and a way forward to implementation. Not theoretical — ready to scope.

retail · adaptive AI applications

Retail & E-Commerce

Discovery is not personalised. It is recommended. There is a difference, and your conversion rate knows it.

Retail has had "personalisation" for a decade. Adaptive AI is what comes next — the layout itself adapts, not just the carousel inside it.

Concrete use cases

Each entry is something we have either shipped or scoped. Not a vision document.

Discovery

Category pages that reshape by intent

A first-time visitor browsing sarees sees a guided buying journey. A returning loyalist sees what is new in her favourite brands. Same URL, different shape.

5 weeks · one category
Search

Search results that adapt to expertise

Detect query sophistication. Novices get filters and education. Experts get precise specs and side-by-side comparison. No segmentation cookie required.

4 weeks · search team
Service

Returns flows that route, not refuse

Reshape the returns flow by item type, frequency of returns, and customer LTV. The right outcome is sometimes a refund, sometimes an exchange, sometimes a credit, sometimes a conversation.

5 weeks · per fulfilment region
Merch

Buyer tools that surface the right SKU

Internal merchandising consoles where the data view is shaped by the buyer’s category, seasonality stage, and current planning task. Reduces tab-switching by an order of magnitude.

8 weeks · with buying
Loyalty

Personal home screens, daily

For each loyal customer, the home is composed daily: restock-due, new-in-favourites, and a single curated surprise. Not a recommendation row; a personal page.

10 weeks · with CRM
B2B

Wholesale portals that learn the buyer

Same B2B portal, but for a hotel chain it surfaces consumables; for a hospital, sterile supplies; for a retailer, replenishment cadence. Adapts down to the buyer at the buyer.

7 weeks · per segment
Way forward · implementation

How we would start with you

Pick one high-traffic category and one internal merchandising surface. Six to eight weeks to ship. We measure lift on add-to-cart and time-to-find, not generic engagement, so the case for scale is defensible.

Scope a Retail pilot