Understand a supplier before development starts.
Load supplier documentation
The system extracts known structure first, then uses AI to resolve ambiguity and enrich the implementation view. Paste documentation or load JSON, YAML, TXT or Markdown.
No supplier analysed
Load a specification to identify authentication, endpoints, content model, booking flow, constraints and implementation risks.
Map supplier inventory to a canonical hotel master
High-confidence records are resolved using deterministic evidence. Ambiguous records can be escalated to bounded AI adjudication before anything reaches a human exception queue.
Required fields: id, name. Recommended: address, city, country, lat, lon, phone, brand.
Public diagnostics accept one supplier feed at a time. Field names are detected from common hotel-feed conventions.
Measure the work removed from a manual mapping process
Set the baseline effort your team or vendor normally spends per property. The result is calculated from this mapping job.
| Supplier hotel | Best canonical match | Confidence | Evidence | Status |
|---|---|---|---|---|
| Run a mapping job to see results. | ||||
People handle ambiguity, not repetitive matching
Only residual uncertainty is escalated. The public lab demonstrates the governance pattern; real uploaded candidate identities remain private.
Turn discovery and mapping into an implementation package
The controlled sample shows the complete handoff. Public uploaded data remains diagnostic until a client engagement begins.
Not assessed
Complete API analysis and mapping to calculate readiness.
Activation control layer
- API capability interpretation and risk identification
- Canonical hotel mapping and exception decisions
- Commercial and data transformation requirements
- QA matrix and implementation handoff package
Focused implementation work
- Platform-specific adapter or connection configuration
- Credentials, sandbox calls and technical remediation
- Supplier certification where required
- Production enablement and operational monitoring