Overview
The Ochy Shoe Recommendation Engine is designed to help retail staff provide every customer with a personalized, science-based shoe match in just a few minutes.
By combining AI gait analysis with individual running preferences, it turns each shoe fitting into a data-driven, engaging, and trustworthy experience.
Why It Matters — Key Advantages
Objective, Data-Based Recommendations
Every suggestion is built on the customer’s biomechanical gait data, removing the subjectivity of personal opinion during sales.
This helps your staff provide consistent, science-backed guidance.
Standardized Process Across Staff
The workflow is the same for everyone — ensuring the same quality of advice, regardless of who is serving the customer.
Increased Store Traffic and Conversion
Customers love receiving a personalized analysis and recommendation.
The engagement drives purchase conversion, higher loyalty, and repeat visits.
Clear Differentiation from Online Stores
Offering gait-based recommendations creates a premium in-store experience that digital platforms can’t replicate.
Faster, Informed Shoe Matches
Within minutes, Ochy connects a runner’s movement data to the right shoe category — automatically and accurately.
Completing the Questionnaire
Before running a gait analysis, each customer completes a short Questionnaire inside the Shoe Recommendation module.
This ensures that Ochy’s AI combines biomechanical insights from video analysis with personal data such as running habits and preferences — for a truly customized match.
Where to Find It
Log in to the Ochy App on your store tablet.
Go to New Shoe Recommendation.
The Questionnaire automatically appears before uploading a gait video.
Information Requested
1. Runner Profile
The customer’s running experience in months or years and weekly mileage.
2. Shoe Purpose
This part calibrates the shoe recommendation toward what type of runs the new footwear is intended for.
3. Injury History
Any recurring pain or discomfort the customer might feel while running (ankle, knee, hip, calf, foot, shin splints, achilles tendon, back).
Comfort Preferences
The shoe recommendation takes into account personal wishes for cushioning, stability, and flexibility.
→ These preferences help choose a shoe that doesn’t just match their running form, but also feels right on their feet.
Heel Cushioning
How soft or firm the shoe feels under the heel.
More cushioning = softer landings and extra impact protection.
Less cushioning = a firmer, more responsive feel.
Forefoot Cushioning
How soft the shoe feels under the front of the foot during push-off.
More cushioning = smoother, more comfortable toe-off.
Less cushioning = better ground feel and quicker transitions.
Stability
How much support the shoe provides to keep your foot aligned.
More stability = helps guide the foot if it rolls inward.
Neutral stability = allows the foot to move more naturally.
Forefoot Flexibility
How easily the front of the shoe bends with your stride.
More flexibility = a natural, smooth roll-through.
Less flexibility = more structure, additional support.
Staff Guidance
Explain that this step ensures each recommendation is evidence-based, not guesswork.
Guide the customer through the questions conversationally — it takes less than a minute and builds confidence in your expertise.
Emphasize that their answers remain confidential and are used only to improve the shoe selection process.