Documentation
Integration phases, data requirements, and implementation timelines
Implementation Timeline
Week 1-2: Discovery & Data Mapping
Phase 1- Platform audit (Magento/Miva/NetSuite version, extensions, customizations)
- Catalog structure analysis (SKU count, categories, attributes)
- Fitment/compliance data assessment (ACES/PIES, specifications)
- API endpoint design and authentication setup
Week 3-4: Integration Development
Phase 2- Protocol endpoints deployed (ACP, UCP, MCP as needed)
- Semantic data enrichment for top 100 SKUs
- Real-time inventory and pricing sync configured
- Security certification and compliance documentation
Week 5: Testing & Validation
Phase 3- Synthetic queries across all AI platforms
- Fitment verification for edge cases
- Performance testing (<300ms latency, 99.9% uptime)
- Human-in-the-loop order approval workflow testing
Week 6: Live Deployment
Phase 4- Gradual rollout with monitoring
- Agent Activity Dashboard access
- Real customer query monitoring
- Success criteria validation (uptime, latency, accuracy)
Data Requirements
Required Fields
Basic Product Data
- • SKU / Product ID (unique identifier)
- • Title/Name (<150 characters)
- • Price (decimal with currency)
- • Availability (in_stock, out_of_stock, preorder)
- • Primary image URL (HTTPS)
- • Short description (<500 characters)
Recommended Fields
- • Popularity score (0-100 for ranking)
- • Return rate (historical percentage)
- • Review count + average rating
- • Category hierarchy
- • Brand/manufacturer
- • UPC/EAN/GTIN barcode
Specialized Data (Use-Case Specific)
Automotive Fitment (ACES/PIES)
Year, Make, Model, Submodel, Engine configuration compatibility matrix
Compliance/Safety
Wire gauge, load ratings, temperature limits, certifications (UL, CSA, CE)
Technical Specifications
Impedance, wattage, dimensions, material composition, compatibility requirements
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