The AI co-pilot for manufacturing supply chains.
Automotive, industrial and FMCG manufacturers use SENSEI to close the gap between what the ERP reports and what the team knows how to do about it.
Estimated, based on comparable SCMDOJO-led supply chain engagements.
WHO THIS IS FOR
ERP-enabled does not mean decision-ready
Three problems SENSEI was built to solve for manufacturing supply chain teams.
Analysis still happens in spreadsheets
The ERP captures the data, but the analysis and the decision still happen manually, plant by plant, in Excel.
Invisible skill gaps
Gaps in inventory optimisation and S&OP capability rarely surface until a KPI misses target.
No shared standard across plants
Best practice varies by site, with no single standard the whole network follows.
HOW SENSEI HELPS
Built on five modes, applied to your work
Every answer, draft and diagnostic is grounded in SCMDOJO's knowledge base, not the open internet.
The way it handles supply chain specific queries is impressive. I tested it with real scenarios from my day to day work: inventory optimisation, demand planning logic, supplier evaluation frameworks, and the outputs were genuinely useful, not generic ChatGPT level answers, but responses that show real supply chain depth.
See sensei. in action on a real manufacturing scenario.
See how a multi-site manufacturer would use SENSEI in a live walkthrough.