Case: Customer Analytics at Bigbasket

3. What are the possible data challenges in developing any data model? What approach

should be taken to resolve these data challenges?

4. Given the context of business carried out by Bigbasket, what basic tools can be used for

understanding repeat purchases?

5. How do we find similarity between products based on what customers buy in different

baskets? Can collaborative filtering be used to find similarities? What similarities are

appropriate in this context and why?

6. How do we build a Smart Basket for a customer? Can we rank the products customers

buy based on what they keep buying in different baskets and how do products appear

together in different baskets?

7. What testing strategy should be applied to find out how the model works?

8. What are the challenges and recommendations in implementing a real world solution of

"Smart Basket" and "Did you forget?" use case?