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. At Flipkart, we serve over 500 million registered users . We manage 150…
Flipkart Tech
https://blog.flipkart.tech/ · 10 posts · history since 2025 · active
5 May
15 Apr
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 e-commerce giants, a sophisticated “ Promise Engine ” calculates the precise delivery date shown to a customer during checkout.…
3 Mar
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 security teams, distinguishing a genuine threat from routine chatter is extremely difficult, making risk identification feel like searching for…
25 Feb
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 pages, ensuring visibility and engagement with millions of shoppers. The platform offers advertisers a seamless, intuitive user interface, built with ReactJS on the…
24 Feb
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 Flipkart directly impacts revenue, seller trust, and business agility. For years, the legacy system responsible for this task was the Agreement Master…
22 Jan
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 budget deduction represents a direct financial risk . If the system lags, advertisers overspend; if it blocks, revenue…
15 Dec 2025
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 purpose-built contextual adversarial model, generates domain-aware attack prompts using recon, adversarial pattern datasets, Markov-chain synthesis, and Gemini-based contextual refinement.…
9 Dec 2025
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 volume each cycle across 19 distinct plans (16 Spark pipelines and 3 Data Science…
4 Dec 2025
Image Source: Google Nano Banana TL;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) to overcome these limits. Its key innovation is the Aspect Dictionary — a numerical scorecard that tracks the exact count…
2 Dec 2025
Context and Motivation: The Prevalence of Bulk Actions Feed file processing is a core capability required in a company like Flipkart, enabling the application of thousands, or even millions, of entity changes through a single file upload. It’s about handling massive bulk data processing , the ability to apply changes to thousands, or even millions, of entities through a single…