AI Can Help You Find Shoes. But Which Size Should You Buy?
Imagine asking an AI assistant for comfortable walking shoes for an upcoming trip. It helps you compare styles, prices and reviews. You find a pair you like. Then comes the question that matters just as much as the shoe itself: which size should you order?
That question does not disappear when shopping moves into a conversation. A useful answer needs information about your feet and the particular shoe you want to buy.
AI is becoming a starting point for shopping
Recent developments show why footwear brands should pay attention. In its October 6, 2026 holiday report coverage, Shopify reported that 65% of surveyed shoppers planned to use AI for at least one holiday shopping task. That measures intention, rather than purchases already made through AI.
Adobe reported on August 7, 2026 that traffic from AI sources to US retail sites grew 125% year over year from April through June. That is growth in referrals, not a measure of sales or AI's share of all retail traffic.
The shopping tools themselves are changing, too. On March 24, 2026, OpenAI expanded the Agentic Commerce Protocol to support product discovery, with merchant product feeds helping ChatGPT present more complete and current information.
For a footwear brand, this makes accurate product details more useful: what a shoe is designed for, what it costs, and which sizes are in stock. But those details alone do not tell a shopper how the shoe will fit.
Finding the right shoe still leaves a size decision
A shopper might know their usual size and still hesitate over an unfamiliar style. Two shoes with the same size label can feel different because their shapes and construction differ. A review saying that a shoe feels narrow is useful context, but it does not tell every reader which size to choose.
Illustrative footwear photography. The shoes shown are not a measured fit comparison.
More detailed size advice brings two things together: information about the person's feet, such as length and width, and information about the fit of that specific shoe model. How snugly someone likes their shoes to fit can matter as well.
This is the footwear question that an AI shopping service would need to address. A product catalog can show that a size is available. Recommending that size to a particular person requires more.
How PerfittSize helps today
Perfitt works with foot measurements, shoe interior measurements and fit data to provide personalized size recommendations. PerfittSize brings that advice into the retailer's online store, where shoppers are already considering a shoe.
A shopper can measure their feet with a smartphone and receive a size recommendation for the shoe they are viewing. The recommendation relates to that shoe model, rather than simply repeating the shopper's usual size.
Perfitt's product examples show how size advice can appear alongside a shoe. Screens shown are examples from Perfitt's website.
The distinction is practical. The customer has already found something they want. Size advice helps them make the next decision.
What this could mean for AI shopping
Imagine taking that size advice into an AI shopping conversation. The assistant could find relevant shoes, request a recommendation for a selected model, and check whether the recommended size is available. It would need the recommendation and the store's current product information to refer to the same shoe and size.
A possible approach to size advice in AI shopping. This is a future application, not an announced Perfitt integration with ChatGPT or ACP.
For example, knowing that a shoe comes in sizes 6 through 10 does not establish that size 8 is right for someone. The fit recommendation answers the personal question; stock information answers whether that recommendation can be bought now. If the recommended size is unavailable, that should be clear rather than quietly replaced with a different size.
For footwear brands exploring AI shopping, the useful question is whether their product information can help with both decisions: which shoe to consider, and which size to choose. Perfitt's work on foot and shoe data offers a starting point for that conversation.