India’s quick commerce platforms are shifting gears from speed-at-any-cost to smart logistics. Top players like Zepto, Blinkit, and Swiggy Instamart are now using algorithms to batch nearby orders, reducing delivery costs and improving inventory management. The move marks a new phase of operational maturity in the 15-minute delivery race.
India’s q-commerce sector embraces tech-led efficiency over chaotic speed
Once defined by frantic 10-minute deliveries, India’s quick commerce industry is now prioritizing profitability and precision. Companies like Zepto, Blinkit, Flipkart Minutes, and BigBasket have begun using AI-driven order batching—grouping multiple nearby deliveries into a single run—to streamline operations and reduce per-order costs.
According to Business Standard, batching has helped lower delivery expenses from ₹40–₹50 to around ₹30 per order. While this boosts margins and reduces fuel usage, delivery partners report reduced payouts and slight delays for second deliveries. Platforms are also using predictive algorithms to optimize inventory and personalize customer experiences, reshaping the sector’s future.
Major takeaways
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Top q-commerce firms adopt order batching to reduce delivery costs and improve efficiency
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AI logistics cut per-order delivery cost by up to ₹20
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Delivery partners raise concerns over reduced earnings and minor delays
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Inventory and customer experience now driven by predictive algorithms
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Quick commerce projected to triple in size by FY28, led by tech innovation
Sources: Business Standard, ETBrandEquity, NiftyTrader