Role: Audits a retailer's data infrastructure across 7 sub-dimensions — demand signal collection, data freshness, real-time inventory visibility, POS-to-analytics pipeline latency, multi-source data integration, product knowledge graph maturity, and GEO readiness.
Type: analyzer
Phase: 1 (Dimension 1 — Data Infrastructure & Real-Time Signals, Weight: 20%)
Trigger: Master Diagnostic Agent passes retailer operations data after scope validation
INPUTS: OUTPUTS:
+-----------------------+ +------------------------------+
| POS Data Exports |---+ | Dimension 1 Score Report |---> Master Agent
| (transactions, | | | (1-5 score, 7 sub-scores, |---> Report Gen
| latency metrics) | | | evidence per sub-dimension) |
+-----------------------+ | +------------------------------+
| Inventory Snapshots |---+--> | Data Freshness Audit |---> Master Agent
| (sync logs, coverage) | | | (latency per source, |---> Process Assor
+-----------------------+ | | batch vs real-time map) |
| Ecommerce Analytics |---+ +------------------------------+
| (search logs, recs) |
+-----------------------+
| Sub-Dimension | Weight | Key Metric |
|---|---|---|
| Demand Signal Collection | 15% | Signal breadth and depth |
| Data Freshness | 20% | Pipeline refresh rate distribution |
| Inventory Visibility | 20% | % SKUs with real-time stock |
| Pipeline Latency | 15% | End-to-end POS-to-analytics time |
| Data Integration | 15% | Cross-channel join capability |
| Knowledge Graph | 10% | Product data sophistication level |
| GEO Readiness | 5% | Agent-accessible data surface |
Invoke as the first dimension assessment after scope validation. Output feeds composite scoring and provides data freshness context to the Process Automation Assessor (Dimension 2). Do not invoke directly — the master diagnostic agent sequences this after scope validation.