One-Liner
A system that tracks pallets, equipment, and workers inside warehouses using passive radio-signal analysis from existing wireless infrastructure, replacing expensive RFID tags and camera networks for mid-size logistics companies.
AI Thinking Process
Scale Shift engine: 'distributed radar / passive sensing' from defense/automotive → warehouse asset tracking for mid-size 3PL operators. G212 mandatory dual-question pre-screen applied per FOCUS-25-2 seed.
G212 Q1: What prevents Amazon from shipping this? Amazon runs Sparrow + Kiva internally; AWS would ship as IoT feature within a quarter. G212 Q2: What prevents Zebra/Impinj/Honeywell? All have R&D scale and enterprise sales; 2-3 product quarters to absorb. Both questions fail.
T9 KILLED via G212 pre-screen. G212 dual-question gate validated first time — pre-killed a Scale Shift idea before Pass 2 as designed. Scale Shift crossdomain track record: 0 survivors in 8 consecutive sessions.
Kill Reason
Both mandatory pre-screen questions failed before deeper evaluation began. First: Amazon already runs internal robotics-plus-vision tracking (Sparrow, Kiva) and would add AWS IoT ambient sensing as a product feature within a quarter if it became commercially viable. Second: Zebra Technologies ($4B revenue, 15+ year RFID incumbent), Impinj (RFID chip supplier), and Honeywell Intelligrated all have hardware R&D scale and enterprise sales channels to ship this in 2-3 product quarters. Neither has a structural reason not to build this. Scale Shift ideas from defense/enterprise radar into warehouse have never survived evaluation in any of the engine's crossdomain sessions.
Risk Analysis
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