Dallas-based tech developer DeepFabric publicly launched its specialized AI platform for supply chain operations on Wednesday, according to FreightWaves. The platform deploys specialized AI agents directly into enterprise operational workflows, targeting what the company calls a "trust gap" in enterprise AI adoption.
Measurable business outcomes from early adopters
Early customers – including HelloFresh, Kenco, NFI, and TwinMed – are already running the platform live in production. According to DeepFabric, these early adopters are seeing:
- Up to 10x return on investment on freight audits
- 45% reduction in overall audit spend
- RFP response times slashed by up to 30%
“AI becomes valuable when it’s connected to real work and measured against outcomes supply chain leaders care about: revenue, margin, cost, and service,” said DeepFabric CEO Kalyan Kommineni, in a news release shared with FreightWaves. “That belief shaped everything about how we built DeepFabric. Supply chain teams deserve AI they can trust in daily operations, with the transparency, measurement and human oversight required to expand with confidence and keep winning.”
Addressing the operational trust gap
DeepFabric’s turnkey platform enters a market marked by big digital ambition but widespread execution fatigue. According to PwC’s 2026 Digital Trends in Operations Survey, which surveyed 767 operations and supply chain leaders at US companies, 89% of leaders report that their technology investments have not fully delivered expected results. The survey highlights several friction points DeepFabric aims to address: silo problems, a trust gap, and data hurdles.
Key findings from the PwC survey include:
| Metric | Value |
|---|---|
| Leaders believing AI agents will accelerate breakdown of functional silos | 83% |
| Leaders who have fully embedded AI strategy across business units | 27% |
| Leaders comfortable assigning AI agents to full end-to-end operational processes | 37% |
| Leaders stating weak data foundations hampered digital initiatives | 87% |
DeepFabric aims to resolve these barriers by leveraging specialized AI agents that read logistics documents, flag anomalies, and route complex exceptions to human operators — all while displaying the background reasoning for each output so teams retain visibility and control.
“There is no shortage of AI ambition, but there is still a shortage of tangible results,” said Mike Honious, former CEO of GEODIS Americas, in the release. “What impressed me about DeepFabric is their obsession with measurable business impact. In a market full of promises, that’s rare. Their approach is grounded in practical use cases, thoughtful integration, and a clear understanding of what success should look like from the outset.”
Industry events and context
The launch comes ahead of the Supply Chain AI Symposium and the F3: Future of Freight Festival, both mentioned in the DeepFabric release as venues where supply chain leaders gather to discuss AI deployment beyond the hype. For CTOs and supply chain technology managers, DeepFabric's platform represents a practical approach to bridging the gap between AI ambition and operational trust, backed by specific ROI metrics from production deployments.
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