A pattern worth testing on something bigger
AI Color Match proved something on Lowe's Paint Color Wall: letting a customer visually confirm a match — not just browse a catalog of swatches — measurably increases their confidence before they buy. This concept asks the same question for a much bigger, higher-consideration purchase. Entry doors aren't an impulse buy; customers second-guess style, material, and how it'll actually look on their own home. What if finding the right one worked the same way visual color matching does?
Two ways in, one confident answer
The concept centers on a Millwork AI Picker, reachable two ways: a natural-language request to a conversational assistant ("something modern with more glass"), or an upload of an inspiration image the customer already likes. Either path returns a set of matched door options — each with a short, specific reason it was recommended, not just a spec sheet. From there, the customer can visualize any option directly in their own home. In this flow, that means their actual front entryway, using a photo they upload themselves.
Where the AI actually helps
A customer arrives at the Entry Door AI Picker from the product listing page. From there they can type a natural-language request directly to the AI Door Finder Assistant, or upload an inspiration image and let the AI match against it. Either path lands on the same kind of result: a short list of doors, each visualized and paired with a plain-language reason it fits what they asked for — not a filtered spec table.
The diagram below walks the whole concept: entry point, the AI assistant's chat and image-upload paths, matched results visualized against a generic scene, and the final step — uploading a photo of the customer's own entryway so the recommended doors are visualized on their actual home before they configure and buy.
Unshipped, by design of this being early
The flow above is the extent of it: a mocked interaction, not a working product. There's no engineering behind it yet, no user testing, no business case beyond the logical one — AI Color Match already showed this pattern works for a lower-stakes purchase, and millwork is a natural next test of whether it holds for a bigger one.
Why show unshipped work at all
Most of what's on this site is proven — shipped, piloting, or backed by real numbers. This isn't, and I want that to be obvious rather than blurred. I'm including it because craft and judgment show up before something ships too: in how a flow gets structured, in noticing that a pattern already proven elsewhere (AI Color Match) might transfer somewhere new, in thinking through where AI genuinely helps a decision versus where it's just decoration. This is what that thinking looks like before it becomes a real project.