Direct-to-consumer (D2C) startups in India are increasingly relying on artificial intelligence to solve one of their toughest challenges-last-mile delivery, especially in Tier-II and smaller cities.
As these markets emerge as key growth drivers for e-commerce, companies are deploying AI-led tools to streamline operations, reduce inefficiencies, and improve delivery success rates.
According to data from Velocity Shipping, the use of AI-driven interventions has helped D2C brands boost delivery completion rates by 11 percent. These tools include AI-powered voice calls, automated verification of orders and addresses, and systems that encourage customers to switch from cash on delivery (COD) to prepaid payments.
Abhiroop Medhekar, co-founder and chief executive officer of Velocity, said, "For digital-first brands, logistics inefficiencies are where profitability is increasingly lost. While demand from Tier-II and Tier-III markets has grown significantly, fulfilment reliability remains inconsistent due to higher last-mile costs, limited network density, and operational complexity. What our data consistently shows is that proactive, early AI-driven intervention across order and address verification, risk scoring, and delivery workflows significantly improves delivery outcomes."
The growing importance of non-metro markets is undeniable. However, these regions also present unique logistical challenges. Issues such as unclear or inconsistent address formats, limited courier network reach, and wider delivery zones often lead to failed deliveries. Additionally, a high dependence on COD orders increases the likelihood of cancellations, further complicating the process.
Failed deliveries and return-to-origin (RTO) shipments remain a major concern for D2C brands. During peak festive seasons, these factors alone can account for 25-30 percent of revenue losses. This makes efficient delivery systems not just an operational need, but a critical factor in maintaining profitability.
Industry data highlights the scale of the opportunity. A report by Bain & Company notes that three out of five new online shoppers since 2020 come from smaller cities. At the same time, nearly 60 percent of new sellers since 2021 are also based outside Tier-I markets. These regions now contribute more than 67 percent of total shipments.
Despite this volume, delivery success rates in smaller cities lag behind. Only about 60 percent of shipments are successfully delivered in these areas, compared to around 73 percent in metro cities. This gap underscores the need for smarter logistics solutions.
AI is emerging as a key enabler in bridging this divide. By identifying high-risk orders early, validating customer details, and optimizing delivery workflows, these technologies are helping companies reduce losses and improve customer satisfaction.
Looking ahead, India's e-commerce market is expected to grow rapidly-from an estimated $70-80 billion in 2024 to $180-200 billion by 2030. Within this expansion, D2C channels are projected to outpace traditional marketplaces, growing nearly three times faster.
As competition intensifies and customer expectations rise, AI-driven logistics could become the backbone of sustainable growth for D2C brands, particularly in the country's fast-expanding non-metro markets.

