India’s direct-to-consumer (D2C) market is booming, but complex post-purchase logistics are squeezing margins with high return-to-origin rates. Shipway, powered by Unicommerce, employs AI to optimize courier assignments and automate fulfillment operations—improving delivery success and reducing costs across the country’s e-commerce landscape.
- Shipway uses AI to optimize courier allocation, reducing high return-to-origin rates.
- The platform integrates order, customer, and carrier data for smarter delivery decisions.
- Focused on post-purchase automation, Shipway aids profitability for India’s expanding D2C brands.
What happened
India’s D2C economy is projected to exceed $310 billion by 2030, driven by rapid e-commerce growth into smaller cities and towns. However, while brands have mastered product development and online sales, managing the fulfillment journey after checkout remains a major hurdle. Many D2C brands in India face return-to-origin (RTO) rates of 20-30%, particularly in categories relying on cash-on-delivery, such as fashion and footwear. These failed deliveries and returns add significant costs and complexity to logistics operations.
Shipway, part of Unicommerce, has introduced an AI-powered post-purchase logistics platform designed to tackle these inefficiencies. Its core engine, ShipSense, continuously analyzes multiple data layers related to orders, customers, and courier performance in real time. By dynamically allocating shipments to the best courier partners based on current conditions, Shipway helps thousands of Indian brands reduce delivery failures and manage fulfilment processes more effectively across different regions.
Why it matters
The profitability of India’s D2C brands is increasingly tied to their ability to manage the post-purchase experience, not just customer acquisition. With consumer expectations for delivery transparency and speed rising, inefficient fulfillment can erode margins through repeated delivery failures, increased returns, and high customer support costs. This amplifies the need for automation and intelligence in managing end-to-end logistics.
Shipway’s AI-driven approach addresses these challenges by providing actionable insights into delivery patterns and courier performance, allowing brands to reduce costly RTO rates and improve service quality. This technology enables a more scalable, data-centric way to manage post-purchase logistics, which is critical as e-commerce expands into less accessible Indian markets with fragmented courier networks.
What to watch next
As the Indian D2C market matures, solutions like Shipway’s ShipSense could become essential for brands aiming to optimize their profit margins and customer retention through smarter logistics. The platform’s ability to adapt courier allocation based on live data such as service-level adherence and regional delivery trends will be a key differentiator in fulfillment efficiency.
Future trends to watch include how Indian D2C companies adopt AI automation to handle growing volumes and complex regional delivery challenges, especially in Tier II and III cities. Additionally, developments in related areas such as returns management and cash-on-delivery verification could further enhance the overall post-purchase ecosystem, helping brands secure greater operational control and improved customer satisfaction.