Swami says cracks were visible everywhere—manual interventions, delays, missed ETAs, documentation in international shipping and unhappy customers—and they saw mid-sized logistics teams relying on 20-25 full-time staff just to manage daily workflows.
“In fact, more than 60% of international shipments required human involvement to move forward. The system was reactive and expensive. That’s when we asked: What if logistics could fix itself? And that’s how Zippyy was born—to bring autonomy, speed, and intelligence to every shipment,” he says.
The logistics sector is in the throes of a tech-driven awakening at present. Aditya was cognizant of the shifts and trends, such as AI adoption for predictive and real-time decision making, the boom of cross-border commerce for D2C brands, the demand for hyper-local logistics, and multi-modal logistics integration to optimize cost and speed. He noticed that logistics lacked a native AI-first platform to help both D2C and B2B business including domestic and international shipping. With the rise of D2C brands across India, the need to personalise and accelerate scale became even more pressing.
Zippyy aims to tackle these shifts across the logistics landscape with a simple value proposition: move goods with zero friction. Businesses can now have their own experienced logistics operator who works continuously for the brand/ organisation, accurately manages its logistics operations and takes care of end-to-end shipping. This is the Zippyy promise – one of dedicated, end-to-end services for customers and businesses of all sizes. It is more than just a logistics aggregator, with the founder hailing it as an “AI-first logistics Operating System (OS)”.
The platform offers AI-powered shipping (domestic, cross-border and freight), and self-learning AI agents that handle simple and complex tasks for businesses of all scale. For e.g., for D2C customers, Zippyy provides an advanced, intelligent RTO sense suite unlike other platforms where the Agent adapts to your products and your customers and suggests risks and mitigation methods. For International shipping, the multi agent system handles the quote, bookings, tracking and customs. This enables businesses to focus on their core value prop leaving logistics to be handled by Zippyy. Zippyy’s progress was fronted by an enthusiastic founder who openly embraced technology. However, it faced challenges from the larger industry.
“Convincing companies to trust autonomous decision-making in logistics was a big one. Logistics leaders were used to dashboards—not self-resolving agents,” Swami says. He adds that building a product that works across diverse emerging markets like India and South Africa meant designing for patchy infrastructure, multilingual support, and highly variable carrier networks. “But those very constraints helped shape the platform to be globally robust.”
Taking the AI route
Zippyy began by asking a question about logistics. It found the answer in AI. A survey-based report by Trigent Software revealed that 88% of respondents (CXOs across carriers, third-party logistics providers, FreightTech companies and shippers) identified AI-powered logistics optimisation as one of the top priorities for enhancing operational efficiency and maintaining a competitive edge.
“Because manual logistics is broken by design, AI gave us the ability to flip the paradigm—from reactive tracking to proactive prevention. Instead of hiring 10 ops managers per flow, we built agents that can quote, book, track, troubleshoot, and even detect fraud—autonomously. The result: 40–60% fewer human touchpoints and exponentially better outcomes,” Swami says.
Zippyy is now betting big on agentic AI to open a wealth of opportunities. Agentic AI enables intelligent agents to achieve goals and complete tasks through real-time decision making. Agents are capable of handling complex tasks with minimal human involvement. They are designed to adapt, plan and take initiative in a dynamic situation.
The logistics aggregator is using agentic AI to great effect, building self-learning AI agents that can replace manual workflows by taking data-driven decisions. This development is taking place in three phases: Sense, Simulate and Solve for each workflow.
Phase 1 involves agents collecting historical data from past shipments, customer behavior and carrier metrics. The Simulate phase sees agents building decision trees and risk profiles, and being stress tested at the backend. The final phase, which is currently underway for a few workflows, will occur when the agents are validated and deployed live, where they will resolve NDRs, optimize routes, and identify fraud without human intervention. The entire operation is built to work in symphony, with agents operating together harmoniously for smooth functioning.
The company is powered by a fleet of agents, each built for a specific purpose. These include, but not limited to :
- Quoting agents that benchmark prices and allocate capacity in real time especially for international shipments.
- Tracking agents that predict potential delays before they happen, and suggest mitigation steps.
- Customs agents that handle documentation and ensure compliance to cross-border regulations
- Ops agents that resolve exceptions and escalations autonomously with carriers.
- Risk and fraud agents that flag risky COD/ Return to Orders before dispatch.
The Zippyy difference
Zippyy’s journey has seen strong growth, with 1-2 lakh shipments per month in a very short span. The company also expanded operations across India and South Africa. Live customer pilots have demonstrated a 40 – 60% reduction in manual effort — reinforcing Zippyy’s mandate to make logistics more seamless. Meanwhile, Gross Merchandise Value and customer acquisition have consistently increased month on month.
Some of Zippyy’s success stories include its fraud risk agent helping a D2C brand cut COD RTO losses by 40%; digitising the logistics stack of a major FMCG player end-to-end through the platform; and its cross-border agents assisting a fast-growing brand to expand to 11 new international markets in under 14 days with zero manual hiring. Finally, the company’s AI flywheel, a self-reinforcing cycle of growth, is improving with each shipment as the system grows smarter and faster as time goes by.
However, the logistics startup has no interest in resting on its laurels. It plans to double down on agentic AI, and add new agents to its fleet. These agents will specialise in predictive logistics and embedded financing, insurance and carbon tracking.
Zippyy is also embedding GenAI agents for logistics managers, and plans to launch Zipppy APIs and White-label SDKs, that will enable anyone from a third-party logistics provider to a Shopify store to plug into its autonomous logistics system.
As AI agents continue to make inroads into the logistics sector, Zippyy.ai will be at the forefront, driving the change.
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