How Perfitt's Shoe Data Supported Rockport Korea's Shoe Finder
In July 2025, Rockport Korea launched an AI Shoe Finder on its online store. Shoppers could explore shoes by style, intended use and fit. Rockport designed the shopping experience; Perfitt supplied information about the shoes themselves.
That collaboration shows another way to use fit technology: a brand can build its own way of helping customers choose shoes, supported by specialist footwear data.
A shoe finder that feels like the brand's own store
The published Rockport screens begin with a simple invitation to find the right shoes. The style-selection step includes familiar categories such as sneakers, sandals and boots, with multiple selections available. The questions sit within Rockport's own storefront rather than a separate destination.
Rockport Korea, July 2025 launch. Original screen from Perfitt's published customer story.
For a brand, those choices are part of the shopping experience. The categories, product pictures and order of questions help customers navigate the collection. A shoe finder should make sense in that context, whether someone is browsing for work shoes or a pair for everyday walking.
The published style-selection screen. Original customer interface retained.
The shoe information behind the experience
In its September 2025 account of the launch, Perfitt described providing internal length and width measurements of Rockport models, together with information about how each model typically fits.
These details answer a different question from a product's color or price. They help describe the space inside the shoe and whether a model tends to feel narrow, regular or roomy. That gives a brand more to work with when helping shoppers choose among its products.
The partnership can be understood through three roles:
Role | What it contributes |
|---|---|
Rockport's shopping experience | The questions and product choices customers see, covering style, use and fit. |
Perfitt's shoe data | Model-specific internal length, width and typical fit information. |
The shopper's choice | A way to explore models using both shopping preferences and fit considerations. |
This describes the roles in the published case, not a technical API specification.
Why this matters when building your own shoe finder
Illustrative footwear image; these are not Rockport products or measured samples.
A footwear brand may already have a clear idea of how customers should browse its collection. It can still need more detailed information about how those shoes fit. The Rockport example shows how these two kinds of work can complement each other: the brand shapes the customer experience, while a footwear specialist contributes product measurements and fit knowledge.
For a team considering a similar project, a useful starting point is a small selection of actual models. Looking at the available measurements alongside the proposed shopping questions makes the discussion concrete. It shows where fit information belongs in the experience and what further product information is needed.
For example, a preference for a formal shoe tells you about style. A preference for more room tells you about fit. Keeping those questions clear helps a team decide how each answer should influence the models it presents.
The lesson from Rockport's July 2025 launch is straightforward: the shopping experience and the expertise behind it do not have to come from the same place. Perfitt's role was to bring shoe-specific knowledge into a customer experience designed by the brand.