What is the difference in the recommender system requirements between Bigbasket and other e-commerce companies such as Amazon and Flipkart?
Given the context of business carried out by Bigbasket, what basic tools can be used for understanding repeat purchases?
What approach can we used to find similarity between products based on what customers buy in different baskets?
What are the challenges and recommendations in implementing a real-world solution of “Smart Basket” and “Did you forget” use case?
What lessons can you draw from this case for artificial intelligence in business?
