Express courier. Direct.
Also overnight.
x25pronto Switzerland takes goods direct to the destination. Small loads go by car. Larger loads go by van or Van XL. Direct, express and overnight trips run Monday to Sunday when a slot is free. Free times are shown in the booking calendar. This keeps the plan clear.
Data integration: API best practices between booking systems and KPI dashboards
Actionable recommendations for stable API integrations between booking systems (e.g. transport bookings) and KPI dashboards used by Swiss companies.
Quick answer
For reliable data integration between booking systems and KPI dashboards follow these rules: clear REST endpoints for bookings and status, a compact normalized JSON data model, token‑based authentication (OAuth 2.0 / Bearer), and automated tests including integration and end‑to‑end scenarios. Start from a single source‑of‑truth schema, document versions and plan backfills for historical KPIs.
1. Clarify goals and ownership
Define which KPIs the dashboard must show (e.g. daily bookings, on‑time delivery, utilisation). Choose a source of truth—typically the booking system. Assign data owners in IT and the business, whether in Zurich, Geneva or Basel, to handle schema changes and incidents.
2. API endpoint design
Follow REST conventions: /bookings, /bookings/{id}, /shipments/{id}/status, /metrics/aggregate. Separate read from write endpoints. Support filters (time range, status, origin, destination) and pagination (limit/offset or cursor). Provide a /webhooks endpoint for real‑time events to reduce polling.
3. Data model and schema
Offer a compact JSON schema for dashboard developers. Key fields: booking_id, created_at (ISO8601), pickup_time, delivery_time, status, origin, destination, vehicle_type, weight_kg, cost_currency. Normalize references (customer_id) and use clear enums for status. Publish an OpenAPI schema.
4. Authentication and security
Use token‑based auth (OAuth 2.0 Client Credentials or rotating Bearer tokens). Enforce TLS. Apply least privilege with scopes such as read:bookings and read:metrics. Log access for auditing.
5. Data quality, versioning and backfills
Validate inputs on the server. Log failures and offer a bulk import endpoint (/import/bookings). Version APIs (/v1/, /v2/) and announce deprecation early. Provide mappings for historical KPI recalculation.
6. Testing strategy and monitoring
Automate unit, contract and integration tests. Run end‑to‑end scenarios in a staging environment. Test webhooks, rate limits and error handling. Monitor latency, error rates, data drift and missing data alerts.
Frequently asked questions
Which endpoints does a KPI dashboard need at minimum?
At minimum: /metrics/aggregate for pre‑aggregated KPIs, /bookings for raw records with filters, /bookings/{id} for details, and /webhooks for realtime events.
How do I prevent wrong KPI values from inconsistent data?
Use server‑side validation, strict enums, daily reconciliation jobs and alerts on anomalies. Run backfill jobs for corrected historical data.
What auth works for system‑to‑system integration?
OAuth 2.0 Client Credentials is suitable for server‑to‑server. Rotating Bearer tokens are an alternative. Always use scopes and token rotation.
How to test webhooks reliably?
Use a staging receiver or tunnelling tools for tests, validate signatures (HMAC) and implement replay mechanisms for temporarily unavailable receivers.