SIZE N FIT

About Us

Size Recommender helps shoppers find apparel that fits through personalized size recommendations.

CUSTOMER EXPERIENCES

Testimonials

YOUR QUESTIONS ANSWERED

Frequently asked questions

I wonder who at my company is best suited to decide on this widget?
This is a CEO/CMO/CTO level decision for 1) Personalizing user experience 2) Increasing conversion rate and most importantly 3) Reducing returns.

What if we are currently working on our platform enhancement?
Your e-commerce platform enhancements is a continuous process, hence best way to move forward is to schedule Size Recommender integration into your project plan time lines.

I got wrong recommendation, I am usually size X.
Don’t go by what you perceive to be a size for you in a different brand. Try the recommended Size. Also, calibration will fix if it is really an error.

How long it takes for Machine Learning/AI to learn about my brand(s) and start predicting correct results?
Most of the time not more than 1-7 days.

Frequently asked questions
TEAM & INVESTORS

TEAM

profile image

Jayesh Badani Co-Founder & CEO

profile image

Madhu Mani Co-Founder & CTO

profile image

Pratiksha Kulkarni Sr. Software Engineer

profile image

Mitna Mohan Apparel Technologist

profile image

Shubham Buradkar Software Engineer

profile image

Venkatesh S Product Architect

profile image

Anuradha Pillai Data Architect

INVESTORS

profile image

Preeti Agrawal Investor,Singapore

profile image

Praveen Thakur Investor,Singapore

profile image

Jayesh Badani Investor, India

profile image

Madhu Mani Investor, India

ADVISORS

profile image

Mr. Raghu Chandrasekaran IT industry veteran & Entrepreneur

profile image

Dr. Eugene Buff Open innovation & start-up specialist

profile image

Dr. Kingshuk Banerjee Director, Cognitive Computing at IBM

profile image

Dr. Yatindra Professor and Chairperson, National Institute of Fashion Technology

WE ARE HIRING

Fashion Experts− Are fashion etail, retail, apparel fit and apparel tech your areas of interest? Apply here

Data Scientists− Are you a data guy, who loves to convert heaps of data something valuable? Apply here

Software Engineers − Do you want to work on a variety of cutting eCommerce technologies? Apply here

Sales & Marketing Executives− Does selling SaaS technology products brands & retailers excite you? Apply here