LLMs for Relevance: Automating High-Quality Product Relevance Labeling in Flipkart Search
Amey Patil , Shreya Malani· November 2025 Every product you see on a Flipkart search results page is there because a system decided it was relevant to what you typed. But how do we know those decisions are good? Someone — or something — has to look at a query and a product and…
The Pulse of India’s Supply Chain: How Flipkart Plans for 500 Million Customers — Part 1
In the world of e-commerce, a click of a “Buy Now” button starts an invisible race. Across India (metro cities or remote villages) millions of customers expect their packages to arrive with a speed that feels like magic. But behind that “magic” is a monumental logistical puzzle.…
The Race Against the Clock: Optimizing Supply Chain Capacity for Faster Deliveries — Part 1…
The Race Against the Clock: Optimizing Supply Chain Capacity for Faster Deliveries — Part 1 (Capacity Management Series) In the hyper-competitive landscape of online retail, delivery speed is often the sole differentiator between a confirmed sale and an abandoned cart. For…
From Noise to Insight: How LLMs Are Transforming Threat Intelligence Analysis
A Story from the Frontlines of Threat Intelligence The identification of cyber threats in e-commerce is challenging because discussions on topics like gift cards and discounts, when found on underground forums, can signal fraud yet closely resemble normal customer behavior. For…
Brand Self Serve (BSS) is a core web application within Flipkart(https://advertising.flipkart.com/), designed for advertisers (Brands and Sellers) to create and manage advertisements in multiple formats. These ads are strategically placed on designated slots across flipkart.com…
Re-architecting Flipkart’s Rate Card Engine: The Journey to Building a High-Scale, Generic Rate…
Re-architecting Flipkart’s Rate Card Engine: The Journey to Building a High-Scale, Generic Rate Card Platform Introduction In the hyper-competitive world of e-commerce every cent matters. How marketplace fees are calculated, charged and displayed to millions of sellers at…
High-Risk, High-Scale: Guaranteeing Ad Budget Precision at 1 Million Events/Second
Flipkart serves thousands of sponsored ads across various pages and with search queries. Advertisers are charged based on the impression views or clicks generated by their campaign content. In the high-velocity domain of AdTech, the latency between an ad impression/click and a…
Triksha — Securing AI with AI at Flipkart TL;DR GenAI apps introduce a new attack surface where prompts become the primary vector of exploitation, making generic application security ineffective for real-world, fine-tuned LLMs like e-commerce support bots. Triksha, Flipkart’s…
Context Ambitious goal and the scope of the problem We were chasing a critical, futuristic business requirement for our big data pipelines achieving “1-day planning,” defined as a total execution window of 24 hours or less. The entire process is extensive, processing a 7TB data…
Beyond the Context Window: A New Approach to Summarizing Big Data
Image Source: Google Nano BananaTL;DR LLMs struggle to summarize the thousands of reviews for a single product because of context window limits and conflicting opinions. The proposed solution, XL-OPSUMM, is a scalable framework that summarizes reviews incrementally (in chunks)…