Resources

A food delivery platform is struggling with poor recommendation quality, causing users to spend more time searching and reducing order conversions. You are asked to evaluate the existing recommendation system, identify the root causes of irrelevant recommendations, and design a scalable solution that incorporates user preferences, context, and real-time signals while balancing business objectives.

You are working at a food delivery platform (like Swiggy/Zomato). The company wants to increase order conversion rate without hurting margins. Currently: coupons are shown randomly or uniformly, many users ignore them, and some users overuse discounts leading to revenue loss.

An Ecommerce application was facing intermittent payment failures during peak traffic hours. The platform has reported cases where the payment page shows failure. The issue occurs when it is peak time. You are assigned to trace the flow, identify where the issue occurs and apply safe fix. You are asked to analyze issue, propose targeted architectural improvements and justify design tradeoffs.