AI-POWERED GAIT ANALYSIS
FOR YOUR STORE
Enhance customer experience and increase conversion with instant, science-driven insights directly on the shop floor.











































Why retailers choose Ochy
Running shoe buyers want guidance, not guesswork.
With Ochy, your team can deliver lab-grade dynamic gait analysis right in-store — no extra hardware or setup required.

BOOST SHOE CONVERSION RATE
Differentiate your store with AI-powered gait analysis. Ochy’s biomechanics engine and shoe recommendation technology deliver precise shoe results — driving up to 50% growth in annual shoe sales.
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REDUCE RETURNS & COMPLAINTS
Ochy helps recommend the right shoes the first time, leading to fewer returns, exchanges, or negative experiences.
A NEW REVENUE STREAM
Retailers like yourself are using gait analysis bookings as a new revenue source: Charge customers from €10–€15 to perform a gait analysis in store, with incentives to convert.
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YOUR COMPETITIVE ADVANTAGE
Differentiate your store with advanced biomechanics and automated shoe matching — offering runners a level of precision and personalization they can’t find elsewhere.

Make SMART Data Work for You
Ochy’s admin panel to understand gait patterns, preferred shoe specs, and usage lifespan — then send personalised notifications that drive repeat purchases at the right moment.

EASY TO SET UP & ONBOARD
Ochy delivers advanced gait analysis without the complexity. With a plug-and-play setup and no heavy hardware, stores can start analyzing movement in minutes.


How Ochy is revolutionizing in-store experiences.
Exclusive features built for brands and retailers help deliver a richer, more personalised experience that keeps customers engaged and coming back.
Ochy has really elevated what we can do at Stride Haus — faster insights, better data, and a more personal experience for every runner who steps into our Gait Lab.
(Angus Campbell, CEO Stride Haus)
Match your in-store inventory with precision
It all begins with your shoe models available in store. With Ochy’s shoe model management, simply select the footwear models available in your store. Our engine then compares them using 8 science-backed footwear parameters, powering accurate, data-driven shoe recommendations for every runner.
The perfect shoe recommendation
Combine each runner’s history, preferences, and gait analysis to deliver the most objective shoe recommendation for every customer. Using 8 biomechanically validated footwear parameters, Ochy matches your in-store models with scientific precision—fully traceable to the analysis segments that determined the fit.
Admin Panel: Segment Customers. Drive Decisions
Ochy’s Web-App gives you a central hub for all your analyses. Segment customers through real-time gait insights and review shoe data that guide smarter product and stock decisions — all in one place.




Seamless Integration for Your Team and Customers
Whether youʼre a boutique store or a multi-brand retailer, Ochy adapts to your workflow.

For staff
Easy-to-learn interface, tablet-optimized, aided navigation with low to no training needed.
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For customers
Real-time insights that build trust and increase likelihood of purchase.

For your business
Leverage gait data and aggregated customer patterns to sharpen your stock and shoe recommendations in the Admin Panel.
See Ochy in Action
Watch how leading retailers transformed their store experience with Ochy.

Ready to Bring Ochy to Your Stores?
Book a 15-minute demo and see how easily you can integrate Ochy into your retail experience.
Get In Touch
Fill in your details and our team will be in touch to explore how Ochy can fit your needs.
Trusted by global coaches, runners, and retailers in 180+ countries
Easy integration with minimal setup—no sensors, no wires
Deliver lab-grade insights to your customers in under 60 seconds
Powered by leading research institutions and 200+ peer-reviewed studies
Prefer to email? Reach us at info@ochy.io
- 3 Av. Germaine Tillion, 35136 Saint-Jacques-de-la-Lande, France
- 2150 Shattuck Ave., Berkeley, CA 94704, United States


