How a Hindi campaign line became a text-free visual language, a monolithic homepage became a modular system, and one storefront split into category frameworks for India’s largest sale.
Big Billion Days (BBD) is Flipkart’s flagship commercial event, a fast, high-volume shopping festival comparable to Black Friday. By 2016 it had grown to $500M in GMV. For 2017 the goal was to double total sales and take clear market leadership in our three biggest categories: Mobiles, Fashion and Large Appliances.
As Lead Designer for the Event Experience, I owned the end-to-end user journey across the native apps, desktop and mobile web. I led a pod of four designers and two copywriters, and drove alignment across product, marketing and the commercial category teams.
We identified three structural bottlenecks that needed a systematic design response rather than more screens.
The campaign rested on the Hindi tagline “Ab Mehengaai Giregi” (Prices are about to fall). It resonated culturally but depended on reading. In a multilingual, multi-demographic market, text-dependence costs conversion. We needed to turn an abstract economic idea into a visual cue anyone could recognize in under a second.
Separate business units run each category, so Mobiles and Fashion historically shipped their own look during big sales. We needed one design system that could scale across hundreds of pages without review bottlenecks or extra engineering overhead.
A single static homepage could not carry the growth target. A premium smartphone buyer needs spec comparisons and EMI options. An apparel shopper needs immersive, high-fidelity visuals. The experience had to adapt to intent while keeping the brand coherent.
I split execution into a visual framework, a component-driven homepage and category-specific UX frameworks, so each team knew which problem it was solving.
We personified Mehengaai (inflation, high prices) as a playful antagonist inside the interface. Banners stopped being static ads. The components themselves crushed, cracked and dropped high prices.
To personalize at the scale of 214 million visitors, we retired the monolithic landing page. In its place we built a layout-agnostic slotting system of dynamic structural widgets.
Every module was bound to one responsive grid and one set of spacing tokens. However the algorithm assembled the page for a given profile, the layout stayed balanced and high-fidelity.
We set aside generic e-commerce layouts. Using user research and past sale analytics, we mapped a distinct buying mindset per category and rebuilt each landing page around it. Each list below is the order of visual priority.
To deploy across dozens of cross-functional category pods, the system needed governance as much as components.
The BBD 2017 framework became the foundation for Flipkart’s major event systems across several later editions. It changed how the team worked.
Localized UX depends on real cultural resonance. Turning a colloquial idiom into intuitive, text-free patterns was worth far more than borrowing generic Western e-commerce conventions.
For hundreds of millions of users and many independent teams, static screens do not scale. You design rules, constraints and components that let others build coherently.
Personalization is a design problem. An algorithmic storefront needs fallback rules, modular layout constraints and visual balance safeguards so the interface stays clean for any permutation of data.