DeepFabric today launched general availability of an AI agent platform built for supply chain execution, and a roster of enterprise customers is already running it in production. Early users report a 10-fold return on investment on freight audit, 45% reductions in audit spend, and request-for-proposal response times cut by as much as 30%.
Agents that slot into existing workflows
The company's AI Agents & Automation platform ships with more than 50 agents spanning operations, financial control, assurance and growth functions. The most widely deployed are the Freight Auditor, Proposal Manager and Inventory Manager, each aimed at the manual, error-prone tasks supply chain teams handle every day. A new agent can go live within a day, DeepFabric said, because implementation does not require internal technical resources or data cleanup.
The pitch targets a familiar frustration. PricewaterhouseCoopers surveyed supply chain leaders this year and 89% said their technology investments had not delivered. They have the enterprise resource planning systems and the logistics software. The manual coordination has not gone anywhere.
Alternatives were thin before now, the company argues: build the infrastructure in-house over several years, settle for generic AI tools, or stitch together a patchwork of point products. The agents read documents, flag exceptions and route work to human review, with each output showing its reasoning so teams keep control.
Customer traction and early results
Founder and Chief Executive Kalyan Kommineni framed the launch around trust. "AI only pays off when it is tied to real work and judged on what supply chain bosses actually track, namely revenue, margin, cost and service," he said. "Teams need to trust it in daily operations, with the oversight to scale up without losing control."
Production customers already span a range of enterprises. They include logistics firms NFI Industries and Kenco Group, meal-kit company HelloFresh, medical supplier TwinMed, fleet manager Merchants Fleet and grill maker Weber, in sectors from third-party logistics to consumer goods and manufacturing.
Mike Honious, former chief executive of GEODIS in Americas, endorsed the approach. "There is no shortage of AI ambition, but there is still a shortage of tangible results," he said. "What impressed me about DeepFabric is their obsession with measurable business impact. In a market full of promises, that's rare."
Why this matters for operations
For operations professionals, the shift to AI for Operations is no longer a theoretical exercise. DeepFabric's platform ties AI directly to metrics that operations leaders track daily: margin recovery, cost reduction and response speed. The agents handle the document-heavy, repetitive work that still consumes hours, while keeping human oversight intact. That combination of measurable ROI and control addresses the trust gap that has held back adoption in supply chain execution.
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