the consumer. The technology crunches brand, consumer & retailer data to make BEST FIT size recommendation for any style across brands, product categories & fit types taking into account individual fit preferences. An adaptive learning engine in the technology learns from consumer feedback & corrects itself for individual consumer to improve the accuracy of recommendation. The more the consumer shops using Fitrrati the smarter it gets in understanding individual fit preferences & accordingly improves the recommendations

We are currently in integration talks with all the major fashion e-tailers companies including Myntra, Flipkart, Snapdeal, Jabong etc.