In the Wild
Supply Chain AI in the Wild:
A Comical Reality Check
Cartoons inspired by real supply chain AI pitfalls — because the fastest way to learn is to laugh.
Most supply chain failures are visible in the data before they happen. The problem isn't data. It's that no existing system can reason across it — across suppliers, inventory, regulatory history, and demand signals — in time to act. Cerebrix does.
Your ERP sees transactions. Your WMS sees movement. Your demand planning tool sees history. None of them see the thread connecting a Tier-3 component shortage to a recall risk, until it is too late to act. ERPs record what happened. They do not reason across relationships. General AI hallucinates your supply chain because it has no memory of your suppliers, no schema for regulatory obligations, and no model of part criticality.
"We are having a hard time to even catch up with, let alone effectively reduce the impact of supply-side disruptions despite substantial investments in Tier-3 visibility."Thomas Panzer - SVP Head Supply Chain Management, Bayer AG
Cerebrix doesn't replace your ERP, your WMS, or your LLM. It makes them act. The Cerebrix Engine sits inside your own environment and does what no existing system does: reads signals across your entire supply chain graph, reasons over what they mean, and executes with a full audit trail.
"The explainability inherent in graph-based reasoning satisfies strict audit requirements. Every AI-generated recommendation must show its evidence trail. Regulators can follow the reasoning path from input to output."Lettria - GraphRAG Enterprise AI Research, 2025
Cerebrix sits between your enterprise data and your LLMs. It does not replace either. It makes both work.
Pre-built intelligence for the highest-value supply chain challenges from critical parts risk to MedTech working capital.
Predict and prevent supply disruptions for your most critical components before they impact production, powered by real-time supplier and market signals traversed across your full multi-tier graph.
Cerebrix maps your full supplier network, then monitors for signals that affect your specific parts, not generic industry news. When a climate event hits a Tier-3 lithium supplier in Chile, your procurement team knows before Tier-1 fails to deliver.
See a live demoDiagnose complex supply chain failures in hours, not weeks. Cerebrix traces causality across systems, suppliers, and events and cuts warranty leakage at the source with a full audit trail.
Boeing spent $4B+ remediating failures traceable to supplier quality breakdowns with no real-time audit trail. Cerebrix makes every supplier event traceable to the specific batch, site, and decision point, before the regulator asks.
See a live demoImprove forecast accuracy and right-size inventory with AI that understands seasonal signals, demand patterns, and supply constraints together, not in separate disconnected models.
Cencora's own research showed genAI disruption prediction caps at 70%. The gap is not a model problem, it is a context problem. Graph-based reasoning closes it by traversing real supplier-product-demand relationships.
See a live demoIdentify consolidation opportunities, optimize payment terms, and free working capital with AI that understands your entire supplier network and cost drivers across all tiers simultaneously.
See a live demoConnect clinical demand signals with supply planning for life-saving devices and therapies, optimizing trunk stock and accelerating recall response globally. Full EU AI Act and FDA audit-trail compliance built in.
The EU AI Act classifies AI in medical supply chains as high-risk, with penalties up to 7% of global revenue. Cerebrix's deterministic, auditable architecture is the only approach that satisfies this by design, not by retrofit.
See a live demoDeep dives on enterprise AI strategy, agentic architectures, and the future of supply chain intelligence.
Cartoons inspired by real supply chain AI pitfalls — because the fastest way to learn is to laugh.
Talk to our team. See Cerebrix running on your supply chain data in 10 days.
We map your systems, data sources, and the first supply chain problem to solve.
Schema-pedia ontologies are adapted to your domain and loaded with supplier, product, and inventory context.
Cerebrix runs in your VPC with configured reasoning workflows and connected real-time signals.
Live walkthrough with your leadership team, including baseline ROI and deployment decision path.
The goal is production readiness, not slideware or throwaway pilot.