Industry tag: ECOMMERCE
Note: We take customer confidentiality very seriously. Our customer kindly asked us not to be named in this case study, but approved the content below.
Product Classification
47% of ecommerce customers give up after only one attempt to find a product. For e-tailers with large inventories, the impact of poor product categorization has an even greater impact on sales. The organization process is costly and time consuming.
Idea
For its multiple marketplaces, our client wants to automate product classification with a data classifier to speed up the categorization and product research process and enable an intuitive shopping experience.
Pains / Challenges
With the ever-increasing inventory, maintaining effective products classification is challenging. The difficulty is in training the algorithm to detect subtle category differences, for example, between a desk lamp and a bedside lamp.
Solution: Classifier Model Training
We applied supervised learning to increase automation of products classification, in multiple languages over multiple marketplaces: French, Spanish, German, Italian, Japanese, and Chinese. Given a targeted product and its informational details, the annotator confirms if the classification is correct. If not, he proposes another category to fit the product based on the client’s category tree.
Results
90% Strong accuracy
20% Reduction of bounce rate
58% Revenue growth
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