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Closed Loop Product Selection Workflow

DDClaw edited this page Aug 4, 2026 · 1 revision

Closed-Loop Product Selection Workflow

Version: 3.3 | Validated: 20 rounds, 82.7% avg adoption rate | Panel: 7 independent sub-agent reviewers

The Closed-Loop Product Selection Workflow is Sorftime Seller Agent's flagship end-to-end product research pipeline. It covers the full journey from product discovery through supply chain sourcing, financial analysis, risk assessment, and a 7-member independent AI seller review panel that votes on every product — then delivers a complete Go/No-Go decision package with post-launch monitoring.

Quick Start

/goal /sorftime-seller-agent Execute Closed-Loop Product Selection for yoga mats on Amazon US. Seller: beginner, $10000, private-label.

Dual-Path Discovery

Path 1: HPI Product-First Path 2: Market-First
Find undervalued individual products Analyze categories first, then products
potential_product → full HPI ranking category_report → 11-dimension scoring
Best for: beginners, <$10K, opportunistic Best for: brands, factories, strategic entry
🎯 Sniper: "one overlooked gem" 🗺️ Cartographer: "best land to claim"

Workflow Flowchart

8-Phase Pipeline

Phase Name Key Action
P0 Seller Input Gate Budget, platform, stage, model, path selection
PA Product Discovery HPI ranking OR market panorama → ≥10 products
PB Deep-Dive Verification detail + trend + traffic + reviews (parallel batches)
PC Supply Chain 1688 sourcing, full landed cost, first-order qty
PD Financial Analysis Full P&L → true net margin (NO verdict here)
PE Risk Assessment 4-tier + brand + seasonal + IP + compliance
PD2 7-Member Seller Review Panel 7 independent sub-agents vote GO/CAUTION/NO-GO
PF Final Deliverable Decision table, risk registry, first-order plan
PG Post-Launch Monitoring /loop command with 30/60/90-day checks

7-Member Seller Review Panel

The verdict is NOT an algorithm — it's 7 independent AI sub-agents, each role-playing a different seller perspective:

Seat Role Weight Veto?
1 Peer Match (same stage/budget/model) ×2 No
2 Peer Alt (tighter budget, opposite risk) ×1 No
3 Mentor (one stage above) ×1.5 No
4 Conservative (risk-averse) ×1 No
5 Opportunity (growth-oriented) ×1 No
6 Platform Specialist ×1.5 🚫 Yes
7 Financial Auditor (P&L-only) ×1 🚫 Yes

Voting: GO ≥4/7 with Seat6 ≠ NO-GO. NO-GO ≥4/7 OR Seat7 veto. Panel may override algorithmic thresholds.

Key Gotchas

  • product_traffic_terms: Use exposure_position field, NOT organic_searched_percentage
  • product_trend: Parameter is product_trend_type, not trend_type
  • PD2: Must spawn 7 sub-agents. Main agent FORBIDDEN from voting.
  • All data: [VERIFIED] / [ESTIMATED:formula] / [ASSUMED:source] / [UNAVAILABLE:reason]

See Also

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