“If delivery to customers can happen in eight minutes, why should it take Nestlé two days to refill stocks?”
This was the pointed question posed to Suresh Narayanan, Nestlé India’s chairman, by Blinkit, a leading quick commerce platform in India.
The remark sums up the new reality. Quick commerce is pushing every consumer packaged goods (CPG) brand to fundamentally rethink its supply chain. The speed and accuracy demanded by today’s instant delivery platforms have made traditional, slow-moving replenishment cycles obsolete. The race is on to create supply chains that are as fast and responsive as the digital marketplaces they now serve.
Unpacking the quick commerce puzzle
The quick commerce market in India is expected to generate a revenue of $5,384 million in 2025, with a projected compound annual growth rate (CAGR) of 16.6% from 2025 to 2029. According to a BCG report, quick commerce services have scaled to 40+ cities across India, reflecting strong nationwide adoption and positioning the country as a fast-evolving market for “need-it-sooner” retail. Predictably, it’s also keeping India’s CPG leaders up at night.
- Demand volatility at breakneck speed: Quick commerce means demand can surge unpredictably. Whether prompted by social media trends, weather swings, or a viral promotion, companies need to sense and predict these swings, not react to them days later.
- Inventory positioning and micro-fulfillment: Gone are the days of central warehouses replenishing sprawling supermarket shelves on a weekly cadence. Now, hundreds of smaller fulfillment centers tucked into urban neighborhoods must be kept stocked—often with little room for error or excess.
- Distribution bottlenecks: In cities stuffed with traffic and labyrinthine geographies, the last mile is both logistically and computationally complex. Orders must be routed to precise locations, with inventory arriving just before it’s needed—and no sooner.
- Data, AI, and the future of forecasting: In such a volatile environment, legacy tools quickly reach their limits. Smart companies are turning to artificial intelligence to mine data from countless sales signals, social feeds, weather forecasts, and more. Only with machine-driven insight can companies hope to sense demand fluctuations far enough in advance to take meaningful action.




