As India gears up for the festive season, the demand for hyperlocal deliveries is expected to surge, and Adloggs, an artificial intelligence-powered delivery orchestration platform, has raised fresh funding led by Auxano Capital, Multiply Ventures, with participation from Faad Network, facilitated by investment banker Ashish Sawargi.
This new investment which remains undisclosed will be used to scale Adloggs' delivery partner network and enhance its AI-driven platform to support deeper integrations, aiming to transform India’s last-mile logistics sector.
With this funding, Adloggs is positioned to address the increasing demand for hyperlocal deliveries by aggregating smaller, local delivery fleets (5 to 500 plus riders) and providing them with access to consistent business demand. This innovative model offers an alternative to high-commission delivery services, empowering smaller operators and enabling efficient on-demand deliveries.
Brijesh Damodaran, Managing Partner at Auxano Capital, commented on the investment: “Adloggs is redefining the hyperlocal delivery space by aggregating smaller fleets, allowing them to compete on a larger scale. Their AI-powered platform is helping businesses reduce delivery costs while offering better service to customers. We’re proud to support Adloggs as they expand their footprint across India.”
The hyperlocal delivery market in India is projected to grow at a compound annual growth rate (CAGR)of 25-30 per cent over the next five years, driven by increasing demand for faster and more reliable delivery services across urban and semi-urban areas. This sector is rapidly expanding with approximately 4 million hyperlocal food orders processed daily and a 35 per cent year-over-year growth.
As the company continues to scale, Adloggs said it remains dedicated to ensuring fair compensation for its delivery partners, promoting sustainable growth that benefits all stakeholders in the ecosystem. The company said its vision is to democratise last-mile delivery by giving smaller fleets the tools to compete effectively in the fast-evolving delivery landscape.