Research-Backed AI Advisory
Deploy
With
Rigor.
For organizations deciding whether to trust AI with supply chain operations. We test how these tools actually behave.
01. The Problem
The
Evaluation
Gap.
Most organizations evaluating AI for supply chain decisions rely on the vendor's own benchmarks. That is not evaluation. That is marketing.
The gap between what AI tools promise and how they actually behave is where organizations get burned. We test behavior under real conditions.
02. Capabilities
What We
Do.
01
Behavioral Evaluation
How does the AI actually make decisions under uncertainty, partial information, and conflicting signals? We test it.
02
Decision System Audit
We map where AI fits in your decision process and where it doesn't.
03
Deployment Readiness
A go/no-go call on whether to deploy, based on how the AI actually performed in testing.
04
Research Translation
We turn published research into something your ops team can actually use.
03. Research
Behind The
Advisory.
Behavioral Benchmark
SCM-Arena
We built a behavioral benchmark that tests how large language models actually make supply chain decisions. Not what they know, but how they behave. 144 experimental conditions, 5 replications each, over 52-round episodes.
Developed at The Ohio State University
scm-arena.comPeer-Reviewed Research
AI Trust & Adoption
Why do organizations resist AI tools that work, and trust ones that don't? That's what the paper investigates.
Journal of Business Logistics, 2022
04. Next Step
30 Minutes.
No Pitch,
No Deck.
A structured discussion about where AI does or doesn't make sense for your operations.