Phase 4.1 inserted: AI spare parts deep identification (internet search enhancement)

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2026-04-22 16:03:25 +03:00
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## Phase 4.1: AI Prompt Enhancement — Spare Parts Deep Identification (INSERTED)
**Goal**: Enhance AI extraction to identify spare parts and search internet for detailed specs.
**Scope**:
- [ ] Update AI prompt to distinguish consumables (cords, connectors) from spare parts (disk, SSD, NVME, RAM, PCIe cards)
- [ ] When Part Number detected on spare part, trigger internet search for detailed info
- [ ] Extract from search results: product type, specifications, characteristics, function
- [ ] Map extracted data to Item fields (category refinement, type clarification, notes/specs)
- [ ] Validate with field users (Phase 4 deployments)
**Milestones**:
- Week 1: Update AI prompt (Gemini + Claude versions)
- Week 2: Implement internet search integration (via Google Custom Search or similar)
- Week 3: Test with real spare parts + field feedback
- Week 4: Refine based on accuracy/relevance feedback
**Success Criteria**:
- [ ] Spare parts correctly classified (consumable vs. component)
- [ ] Internet search finds relevant product data 90%+ of the time
- [ ] Extracted specs are accurate (validated by field users)
- [ ] No false positives on consumables (don't search for "UTP cord")
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## Phase 5: Core V2 Features (2 months)
**Goal**: Implement must-have v2 features based on field feedback.

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| 2026-04-22 | Reset planning to phases 4-7 | Lost focus on v2 direction; field feedback needed | Active |
| 2026-04-22 | Phase 4: Field validation first | Gather real user needs before building v2 features | Planned |
| 2026-04-22 | Defer cropping, analytics, federation | Not needed for v2; revisit in v3 | Out of scope |
| 2026-04-22 | Insert Phase 4.1: AI spare parts deep ID | Enhance AI to search internet for part specs when PN detected | Inserted (Urgent) |
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