Once the gait analysis (back and/or side view) and questionnaire are complete, Ochy’s engine automatically generates personalized shoe recommendations based on both biomechanical data and runner preferences.
This is the final step of the process — where you translate data into a confident, science-backed product suggestion.
Purpose
The recommendation screen transforms the runner’s gait and profile into shoe matches ranked by biomechanical compatibility.
It gives retail staff a clear, standardized way to advise customers objectively, while keeping the conversation engaging and personal.
How to Access
After both the Questionnaire and Gait Analysis have been uploaded, the system processes the data automatically (takes under a minute).
The screen will display “Your Tailored Shoe Matches”, showing a ranked list of models along with the customer’s key parameters based on their gait analysis and preferences.
You’ll also see all eight shoe parameters used in the match: bending stiffness, heel-to-toe drop, shoe rocker, shoe weight, carbon plate, midsole hardness, midsole thickness, and motion control.
Each of the five shoe cards includes:
Shoe model’s brand, name, and image for quick identification.
Percentage match between the runner’s personal needs and the shoe model
Understanding the Shoe Match
By clicking into the card, you unlock:
Shoe Preview – a quick visual so the customer immediately recognizes the model.
Biomechanics Summary – a brief explanation of the runner’s key movement patterns that informed the match.
Top Three Shoe Parameters – cushioning, flexibility, and heel-to-toe drop shown at a glance.
Cushioning: How soft or firm the shoe feels underfoot. More cushioning absorbs impact; less cushioning offers a more direct ground feel.
Flexibility: How easily the shoe bends with the foot during movement. Flexible shoes feel natural and smooth; stiffer shoes offer more structure and support.
Heel-to-Toe Drop: The height difference between the heel and the forefoot to promote propulsion and support your stride.
Element | Meaning | How to Use in Conversation |
Segment Overview | Shows a brief recap of key gait segments that feed into the shoe recommendation. | “These are some of your gait results that directly shape your final shoe recommendation.” |
Top 3 Parameters | Highlights the three key shoe parameters influencing the match: cushioning, flexibility, and heel-to-toe drop. | “These are three key shoe characteristics impacting your match — here’s how each one supports your running style.” |
Full Shoe Parameters |
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(on “tailored shoe matches” screen) | Displays all eight parameters used by the engine to evaluate the shoe (cushioning, drop, rigidity, support, etc.). | “Let’s walk through the full breakdown so you can see exactly how each feature supports your running form.” |
Additional Actions
Compare Models: Tap any suggested shoe card to review detailed parameters and see how well it matches the customer.
Email Results: The customer’s gait analysis is automatically sent via their account email — a simple follow-up that builds trust and encourages return visits.
Manage Shoe Models: From your web access, you can request, add, or remove shoe models. If a recommended shoe is low on stock, temporarily remove it and re-add it once inventory is replenished.
Staff Guidance
Always start with the data story:
“Based on your gait analysis and preferences, these are the shoes that best match your running form.”
Show the visuals — customers connect better when they see their data.
Emphasize that every recommendation is AI-powered and independent, not influenced by brand priority.
Use the system to build credibility:
“This helps us remove guesswork — it’s all about how you actually move.”
Follow-up tip: Encourage customers to transfer their analysis results to the mobile app; it supports loyalty and repeat visits when they shop again.
Summary
The full workflow:
Fill out the Questionnaire → personal context.
Record the Gait Analysis (Back & Side Views).
Review Gait Analysis → stability, alignment, stride breakdown.
Present the Shoe Recommendation → close the sale confidently.
The result: a standardized, data-driven, and premium retail experience that builds customer trust and boosts conversion.