Build a B2B Bike-Fitting Image-Analysis API

1. 1

   Build the image-analysis engine

   The core is computer vision that takes images or a scan and returns body measurements mapped to bike geometry. Accuracy and consistency across real-world images are everything, because retailers integrating your API are staking their conversion and returns on your output. This engine is the entire product.

2. 2

   Wrap it in a clean API

   Package the engine as a well-documented, reliable API with clear inputs and outputs, sample code, and predictable latency. Developers at retailers and apps adopt what is easy to integrate, so documentation and reliability are features, not extras. Make a working integration achievable in days, not months.

3. 3

   Prove accuracy for your buyers

   Retailers need to trust that your recommendations reduce returns and lift conversion, so validate and publish accuracy against real fits. The B2B buyer is signing up to put your output in front of their customers. Credible, quantified accuracy is what closes the licensing deal.

4. 4

   Sell to retailers and apps, not riders

   Your customer is the business (the Apiir model of licensing to bike retailers), so build a B2B sales motion: pilots, integration support, and case studies showing returns and conversion impact. This is a distinct buyer from the consumer-app path. Sell ROI to a business, not features to a rider.

5. 5

   Price as software licensing

   Charge per-call, per-seat, or per-integration licensing with a subscription floor, aligned to the value of the returns you eliminate for the retailer. High-margin licensing scales as you add integrators. Structure pricing so a retailer's savings clearly exceed your fee.

6. 6

   Expand the integrator base

   Once a few retailers integrate and see results, use those cases to sign more, and consider adjacent size-sensitive categories the same engine can serve. Being the fit layer under many platforms is a durable, compounding position. Each new integrator adds recurring revenue with little marginal cost.

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