One-Liner
A knowledge management layer that captures and systematizes the human overrides demand planners make to AI forecasting systems, building an institutional knowledge base that persists when planners leave.
AI Thinking Process
Demand planner pain: 20 hours/week manually overriding SAP IBP forecasts because AI doesn't know retailer behavior patterns. Tribal knowledge trapped in one person's head. 78% of supply chain leaders say inaccurate forecasting is still their biggest challenge
WHO: Demand planner at $100M-1B consumer goods manufacturer using SAP IBP/Kinaxis/o9. CURRENT: 20 hrs/week overriding AI forecasts in Excel, uploading back to APS. WHY-SURPRISED: companies spend $500K+ on APS then humans override 40-60% of recommendations — the override IS the product
structural adoption barrier (double weight): demand planner is simultaneously the sufferer AND the beneficiary of the pain. Their tribal knowledge IS their job security. If you capture and automate their override intelligence, why does the company need them? Classic identity conflict variant
Pivot buyer to VP Supply Chain (wants to reduce key-person dependency). Same feature absorption problem: SAP IBP owns the override data pipeline, adding override pattern recognition is natural extension. Pivot failed
38% conviction — Feature absorption (SAP IBP adding override intelligence is natural extension) + structural adoption barrier variant (tribal knowledge as job security) + platform dependency (must integrate with SAP to access override data). G004, G007 confirmed
Kill Reason
Feature absorption by APS vendors (SAP IBP already has planner notes — extending to structured override pattern recognition is a natural feature) combined with a textbook structural adoption barrier: demand planners' tribal knowledge is simultaneously their biggest frustration and their job security. Systematizing it makes them replaceable — they will resist adoption structurally.
Risk Analysis
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killed: 5+ funded competitors including Cast AI ($1B valuation), OneChronos (backed by Nobel laureate), Akash Network (decentralized, 80% cheaper), Argentum AI (blockchain-settled). Market is claimed with massive capital.