Logistics & Supply Chain

Carrier API variety is addressed through an adapter pattern—each carrier has a dedicated adapter that handles its specific protocol, authentication, error codes, and data format, and translates to and from a canonical internal interface. This isolates protocol-specific complexity behind the adapter boundary, so changes to a carrier's API require only adapter-level changes rather than changes throughout the system. Carrier instability is handled through circuit breakers, retry logic with exponential backoff, and dead-letter queues so that temporary carrier outages do not cause data loss—events that cannot be processed immediately are retried when the carrier recovers. All carrier connections are monitored centrally with alerting on error rate thresholds.

The architecture we recommend for multi-carrier visibility is event-driven rather than polling-based wherever possible. Where carriers support webhook or push-based event delivery, that is preferred—polling creates load on carrier APIs, introduces latency equal to the polling interval, and is fragile when carrier systems are slow. Where polling is unavoidable, it is abstracted inside the carrier adapter so the rest of the system consumes normalised events regardless of source. Events are normalised into a canonical shipment state model with defined state transitions—this makes exception management tractable because anomalies (out-of-sequence events, missing expected transitions, long dwell times) can be detected against the model rather than requiring carrier-specific logic throughout the application.

TMS modernisation programmes are staged to avoid operational risk. We begin with a comprehensive integration inventory—documenting every inbound and outbound integration, the business process it supports, and the testing required to validate it—before any build work starts. The new system runs in parallel with the legacy TMS for a defined period, with real shipments processed through both and outputs compared to identify discrepancies before the legacy system is decommissioned. Carrier connection validation is a dedicated test phase: each carrier integration is tested end-to-end in a pre-production environment before the cutover window, with carrier test accounts used where available. Customer-facing integrations are the last to migrate, after the core platform has been validated operationally.

Yes. We build integration platforms that connect TMS, ERP, and order management systems to customs filing solutions and government authority APIs—extracting shipment and commodity data, applying validation rules, and submitting declarations in formats required by customs authorities in the US (ACE), EU (ICS2, AES), and UK (CDS). The technical integration is paired with validation logic that catches common declaration errors before submission—incorrect commodity codes, missing required fields, value inconsistencies—reducing the rate of customs holds and associated delays. We work alongside client trade compliance teams who provide the regulatory expertise; AlgoDomain provides the integration and automation engineering that makes that expertise systematic rather than manual.

Logistics engagements typically start with a two-to-three week discovery phase that maps the existing system landscape, documents integration dependencies, and produces an architecture design for the programme. This is valuable both for de-risking the delivery and for giving the client a clear programme scope and investment estimate before committing to full delivery. Delivery is structured in phases with clear milestones—typically: carrier connectivity layer, internal system integration, visibility platform, customer-facing capabilities—so the client receives operational value progressively rather than waiting for a complete system before any benefit is realised. Engagement teams are embedded with the client, working closely with operations and technology stakeholders throughout.