The channel stopped being an experiment
Three of the largest consumer packaged goods companies operating in India, Hindustan Unilever, Marico, and Nestle India, are now describing quick commerce in terms usually reserved for a core business unit rather than a test channel. Marico reports the channel contributes more than 50% of its core business growth and now represents 5% of its total India revenue, a share large enough to influence how the company plans production and inventory months in advance rather than reacting to demand after the fact once orders have already started coming in.
That shift matters because quick commerce imposes different constraints than traditional retail or even standard ecommerce. Orders arrive in minutes, not days, which means the CPG brand's forecasting has to anticipate hyperlocal demand at the level of a single dark store rather than a regional distribution center serving hundreds of storefronts at once. Getting that wrong means empty shelves in a channel built entirely around speed, which is a worse failure mode than a slower channel absorbing the same stockout, since the entire value proposition to the shopper collapses the moment the promised item is not actually there.
Packaging and pricing purpose-built for the channel
Hindustan Unilever now designs exclusive product packs specifically for quick commerce, treating the channel as a distinct route to market that enables a level of consumer segmentation the company could not achieve through traditional retail alone. The company frames this as reaching smaller towns and rural areas with formats and price points calibrated to that channel's specific shopper, a genuinely new configuration rather than a repackaged version of what already sits on a supermarket shelf waiting to be picked up and delivered faster than before.
Marico goes further, creating channel-specific pricing and using quick commerce as a live testbed for new products before deciding whether to scale them into traditional retail, explicitly to avoid cannibalizing existing sales lines that took years to build. The company's rationale is that quick commerce shoppers want more convenience and show less price sensitivity than a typical retail shopper, which makes the channel a legitimate premium-testing ground rather than just a faster delivery option for the same basket of everyday goods.
Nestle treats it as an innovation launchpad
Nestle India describes quick commerce explicitly as a launchpad for innovation, developing fit-for-purpose product portfolios rather than simply routing existing SKUs through a faster fulfillment channel. The company has launched channel-exclusive products including a Maggi Bowl format and a Vietnamese Latte variant, using the channel's fast feedback loop to test concepts before any decision to bring them into general retail distribution across thousands of stores nationwide, a sequencing that shortens the traditional multi-year path from concept to national shelf.
The premiumization data backs up the strategy: Nestle's premium product contribution in the channel grew from 11% to 14%, evidence that quick commerce shoppers are willing to pay more for convenience and novelty than the average retail buyer walking a supermarket aisle. That is a meaningfully different customer profile than the one CPG brands have optimized for over decades of traditional retail planning, and it is reshaping how these companies think about product architecture from the earliest design stage onward.
The infrastructure behind the speed
None of this works without AI running underneath it. All three companies describe embedding AI across their supply chains for demand sensing, forecasting, and inventory management specifically tuned to the quick commerce format rather than adapted from a slower planning cycle. Hindustan Unilever's distribution centers use what the company calls AI-enabled real-time visibility to orchestrate fulfillment across the roughly 6,000 dark stores that quick commerce platforms now operate collectively across the country.
That figure, 6,000 dark stores, is the operational reality CPG supply chain technology teams have to design for: thousands of small, hyperlocal inventory nodes instead of a handful of large distribution centers, each one needing near real-time demand signals to avoid both stockouts and the working capital drag of overstocking a format with limited shelf space. Traditional retail forecasting models built for weekly or monthly restocking cycles do not transfer cleanly to that granularity, and CPG teams that try to force the old model onto the new channel end up chronically out of stock.
What this means for CPG technology roadmaps
The pattern emerging from Unilever, Marico, and Nestle is a template other CPG companies operating in fast-growing quick commerce markets should study closely, even outside India where the channel is expanding at a similar pace. Treating the channel as a faster version of existing ecommerce fulfillment misses the point: it requires distinct packaging decisions, distinct pricing logic, and a supply chain forecasting model built around thousands of small nodes rather than a handful of large regional warehouses.
For CPG technology and supply chain leaders, the practical takeaway is that demand forecasting infrastructure built for quarterly or monthly retail planning cycles will not survive contact with a channel operating on minutes. Investment in AI-driven, store-level demand sensing has become the baseline requirement for staying stocked in a channel that is turning into a primary growth engine rather than a side experiment, and the three companies here are already treating it that way in how they design, price, and forecast. Waiting for the channel to mature before building that muscle risks ceding the category to competitors who started earlier.
