One agent, one network: The future of supply chain

Unlocking Global Efficiency: How AI is Forging a Unified Supply Chain Network

Mr. Josh Lampen, CTO of Cartage, introduced Wilson, an AI for manufacturers and distributors. Cartage, a YC Summer 2024 alumnus, secured a seed round. Wilson has coordinated thousands of autonomous shipments across Canada, the US, and Mexico, handling diverse freight from furniture to fire trucks, demonstrating robust capabilities across various industries.

Mr. Lampen highlighted the supply chain’s critical role as the global economy’s backbone, yet it suffers from widespread dysfunction and chaos. This inefficiency stems from fragmented data, poor decision-making, and coordination failures across numerous stakeholders. Data resides in disparate systems like Google Docs, emails, and Slack, costing consumers billions annually.

The ideal solution requires comprehensive data access, understanding business processes, and centralized decision-making. Foundational AI models from OpenAI and Anthropic make this possible. AI technology can now be deployed to manufacturers, gaining full data access and understanding standard operating procedures within two weeks.

This AI makes all supply chain decisions from a single, unified platform with complete visibility. This rapid integration marks a significant advancement over traditional tech implementations, which were lengthy and faced low adoption. AI functions like a human agent, integrating seamlessly without altering existing methods, fostering quicker adoption.

Looking ahead, Mr. Lampen outlined two major shifts for the future of the supply chain. The first is demand aggregation. As AI is deployed across thousands of manufacturers, it will pool all managed freight, forming an alliance to negotiate on behalf of its members with other supply chain stakeholders.

This aggregation means that regardless of size, from a small Vancouver furniture manufacturer to a giant like Walmart, all alliance members will gain access to unprecedented buying power. This will secure superior rates, services, and guarantees previously unattainable, leveling the playing field for businesses of all scales.

The second shift involves supply aggregation. Once AI consolidates demand, it will recognize an inflection point driven by advancements in self-driving technology. This will enable the AI to manage its own autonomous fleets of assets, including trucks and eventually planes, further streamlining logistics.

These two transformative shifts—demand and supply aggregation—are projected to culminate in the ultimate state of the supply chain. This future vision involves a single network managed by a single AI agent, overseeing all freight end-to-end, utilizing its own autonomous transportation assets. This integrated approach promises better prices, enhanced services, and improved consumer outcomes globally.