Helped a leading pharmaceutical company to digitize its “PlaceHolder Document...Read More
The client is an e-commerce and financial technology company based in India. The client offers B2C services for consumers and has around 17 fulfillment centers across India partnering with more than 40 courier companies.
The client wanted to increase the sales figure for a particular category (footwear) by improving the conversion rate. The client also wanted to increase the GMV (Gross Merchandise Value) by figuring out the right amount of cashback or discount to be given.
We built an AI-based analytics model to process existing data and predict optimal GMV and cashback to solve the business challenge.
Aptus Data Labs has to work on two main objectives that were:
Aptus Data Labs used the following process to prepare data and build the ML model to meet the above two objectives. Aptus Data Labs:
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