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FQ AI Summit 2026

Show Availability Where the Customer Makes the Choice

My notes from attending the FQ AI Summit in New York, November 10, 2026.

Recommendations and Shopping Experiences

What information makes a product recommendation ready to use?

A recommendation can match someone's taste and still fail the practical test if they can't get the item. Check availability under their stated conditions: location, size, variant, delivery timing or retailer, using the current service.

The anticipatory discussion's detailed product examples point toward that check. Use the current service to verify those conditions, and skip an older product description.

The condition goes next to the option

Nobody should have to open several pages to find out the recommended variant is unavailable or that delivery doesn't meet the request. If stock can change quickly, say the result was checked at that time, and avoid promising it will stay available. Mark anything you haven't checked.

When the preferred option doesn't fit, offer a useful next choice and say which constraint is different. Don't silently swap in another product. A recommendation turns anticipatory in a practical sense when it removes a predictable obstacle without making a new decision for the customer.

What to try this week

Pick one recommended product and check it through the current service against the customer's stated conditions, from location and size to variant and delivery. Then show the result beside the option.