AI Case Study

Flipkart achieves 95% accuracy for classifying products based on images

Flipkart on its backend uses image recognition to identify and catalogue items and check for duplicates.

Industry

Consumer Goods And Services

Retail General

Project Overview

From The Economic Times: "The first step for any automated catalog is to accurately classify a product, which is hugely difficult given the unstructured data sellers often provide. 'We now have a machine learning model that can classify the (product) vertical given an image.'"

Reported Results

According to The Economic Times, for "verticals with similar images (say shampoos and body lotions), it uses the product description to classify products with 95% accuracy".

Technology


Function

Marketing

Product Marketing

Background

Flipkart is the biggest e-commerce marketplace in India. The company needed to automate its backend product cataloguing in order to keep up with the increase in item additions and demand.

Benefits

Data