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TransportOne is Delhivery's AI workforce for end-to-end freight decision intelligence and action.
We're building AI agents that work with existing enterprise systems to make decisions and take action, so logistics teams can focus on work that requires their expertise.
Why we exist
Most enterprises have invested significantly in Transportation Management Systems, ERPs, visibility platforms, and analytics to make freight operations more efficient.
These systems have improved access to information and helped teams make better decisions. But even with all this technology in place, someone still needs to act on that information.
Large enterprises process thousands of freight invoices. Given the volumes involved, audit teams often review a sample rather than checking every charge on every invoice, so billing discrepancies can go unnoticed. The contract, invoice, and shipment records contain everything needed to identify the discrepancy. But an auditor still needs to:
With Penny
100%
of invoices audited, line by line
Our freight audit agent validates every charge against contracts and actual shipment records. When it identifies a discrepancy, Penny gathers the supporting evidence, raises the dispute, and follows through to resolution.
Meet PennyPart of Delhivery
TransportOne is part of Delhivery, one of India's largest integrated logistics companies. Since 2011, Delhivery has built and operated transportation networks spanning Full Truckload (FTL), Less-than-Truckload (LTL), and parcel logistics.
It serves nearly 50,000 customers, including global enterprises such as Bosch, Colgate-Palmolive, Bridgestone, and Shell. With over $1 billion in annual revenue and investments from global organizations including SoftBank and FedEx, Delhivery brings substantial operating scale, engineering capabilities, and resources to TransportOne.
2011
Operating since
~50,000
Customers served
$1B+
Annual revenue
15 yrs
Of freight operations
Over the past 15 years, Delhivery has developed its proprietary technology stack to manage complex logistics operations. Running these operations at scale has given us access to extensive logistics data, established operational workflows, deep carrier ecosystem knowledge, and firsthand experience solving problems that arise in day-to-day freight movement.
This experience forms the foundation of TransportOne. Our AI agents are built with an understanding of how freight operations actually work, including the exceptions, dependencies, and decisions that enterprise logistics teams deal with every day.
We are now making this technology available to enterprises worldwide, enabling them to bring the same operational intelligence and automation into their own logistics environments.
Invested by


Our vision
We believe freight operations will become increasingly autonomous, with AI agents taking responsibility for routine decisions, coordination, follow-ups, and reconciliations. Logistics professionals should not have to spend their days chasing carriers for updates, reviewing invoice samples, or manually coordinating every shipment exception.
We want to give teams the ability to manage more freight, respond to problems faster, and maintain greater control over their operations without a corresponding increase in manual effort.
Human expertise will remain essential, particularly for complex decisions, business relationships, and strategic planning. Our focus is on building an AI workforce that handles the operational work around those responsibilities.
Careers
Based in Palo Alto, California, and backed by Delhivery's technology and logistics expertise, TransportOne brings together people with experience in enterprise software, AI, and freight operations.
Our teams work on problems that involve large-scale data, complex workflows, and real-world operational decisions.
If you're interested in building technology that enterprises can put to work in their everyday operations, we'd like to hear from you.
Get started
See how TransportOne can help your team automate freight operations within your existing technology environment.