keynote: intelligence at scale by krishna raghavan (flipkart)
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Handling scale is not enough…
Intelligence will be the differentiator
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Problem 1: How do you sell and merchandise your products?
● Pricing● Promotions/Offers● Bundling● Ads
Would that be enough?
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Gather Customer insights at every step of the customer journey leading to
personalisation and delight
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As an example: -
● Customer browse behavior
● Customer purchase history
● Inferring Product relationships
● etc…(Do this for 18M+ customers!)
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Seller Analytics and Recommendations
● Provide deep selling insights for your portfolio
● Comparative aggregated analytics and trends
● Recommend course of action, not just analytics
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Problem 2: Who is the best seller for the customer?
Do this for thousands of sellers and millions of customers
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Seller Prioritisation - How?
● Seller Performance in terms of buyer experience e.g. cancellations, returns
● Customer preferences in terms of SLA, Price,Feedback
● Geo● Personalisation here again…● Self Learning
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Problem 3: How do we identify bad quality products amongst millions on the platform?
10000+ CategoriesLong Tail selection
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Product Insights: How?
● Customer signals - Returns, Feedback
● Conversion - Funnel analytics
● Pricing Analytics
● Power pro-active resolution
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Thank You…
Q&A