• Zippyy.ai processes 1–2 lakh shipments monthly, reducing manual effort by 40–60% in live pilots.
  • Its AI agents autonomously handle quoting, tracking, fraud detection, customs, and exception resolution.

In a bid to overhaul India’s fragmented and manual logistics sector, Zippyy.ai is deploying self-learning AI agents that promise to make the system autonomous, efficient, and scalable.

Founded by Aditya Swami, Zippyy is reimagining logistics as an “AI-first Logistics Operating System (OS)” built for both D2C and B2B brands.

Solving a $9 Trillion Problem

The Indian logistics market, valued at $9 trillion in FY23 and projected to hit $13.4 trillion by FY28, continues to suffer from inefficiencies.

“In fact, more than 60% of international shipments required human involvement to move forward,” says Swami, citing poor infrastructure, missed ETAs, and heavy manual intervention as key pain points.

Zippyy aims to reduce human touchpoints by 40–60% through autonomous agents that quote, book, track, and even handle fraud detection.

The startup’s tech stack is built to function under patchy infrastructure and multilingual conditions, making it suitable for diverse markets like India and South Africa.

Agentic AI in Action

Zippyy’s self-learning agents operate in three phases: Sense, Simulate, and Solve. Agents begin by collecting historical data, then simulate decision trees and risk profiles, and finally execute complex workflows like NDR resolution, fraud detection, and customs documentation without human help.

Each agent is designed for a specific function, from quoting and tracking to managing compliance and returns.

This AI-powered approach has enabled the company to process 1–2 lakh shipments monthly, with successful case studies including a 40% reduction in COD RTO losses for a D2C brand and expansion to 11 international markets in under two weeks for another client.

With rising demand for predictive logistics, embedded finance, and sustainability tracking, Zippyy plans to expand its agent fleet.

Upcoming launches include GenAI logistics managers, APIs, and SDKs for seamless integration with third-party platforms.

Edited by Annette George