Documentation
What we need from you, what we build, and how long it takes
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 (all AI commerce protocols 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
Let's Scope Your Integration
We'll review your platform, catalog size, and data quality — then give you a fixed timeline and price.