A mapping layer your team can explain.
Explore travel mapping architecture with stable identifiers, versioned decisions, review workflows and auditable supplier data processing.
Travel technology teams need a mapping layer that separates source ingestion, identity decisions and published results. Explicit identifiers, data contracts, version history and review controls make the behavior easier to integrate, inspect and maintain.
Explicit data contracts
Define source keys, master IDs, schema versions, timestamps and permitted transitions before connecting a feed.
Explainable decisions
Return evidence and reason codes with each outcome so support teams can investigate specific records.
Versioned evaluation
Treat rules and models as releases. Test proposed changes against verified examples before promotion.
Recovery by design
Plan for repeat imports, partial failures, rejected rows, rollback and reprocessing without duplicating identities.
Define the supplier sources, existing master IDs, review owners and success measures before connecting a production catalog.
Build your integration briefA few good questions.
Understand the data, the decisions, and the next step.
Explore all FAQsIs the website's demo a production API?
No. It demonstrates a bounded hotel matching workflow in the browser using illustrative records. Production APIs, authentication, storage and supplier connections require a separate implementation.
How should a mapping decision be represented?
Include source identity, candidate master ID, outcome, reason codes, evidence and rule or model version. Keep human approval metadata when a decision was reviewed.
Should corrected records immediately retrain a model?
Store verified corrections as labeled evidence first. Separate training and evaluation data, review possible bias, and approve a tested model version before changing production decisions.
A clearer identity starts here.
Explore the mapping workflow. Build a brief around your data.