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Reference architectureLogistics

Supply-chain operations

Unifying logistics exceptions in a real-time control tower

An event-driven operations workspace that brings shipment milestones, partner data, exceptions, and customer communication into one coordinated workflow.

The context

The operating problem we designed around

The solution needed to integrate partners with different technical maturity while creating a consistent internal view of orders, shipments, stops, milestones, documents, and exceptions.

Rather than replacing every upstream platform, the control tower established a governed event and workflow layer around existing systems.

Core challenge

Operators were reconciling updates across carrier portals, spreadsheets, messages, and customer systems. The primary problem was not missing data—it was inconsistent events, unclear ownership, and delayed action when plans changed.

Delivery approach

From ambiguity to an operable system

01

Define a canonical journey

Mapped orders, shipments, legs, stops, milestones, documents, parties, and exceptions into a shared model.

02

Measure source confidence

Tracked provenance, freshness, and reconciliation status instead of presenting every update as equally reliable.

03

Design action queues

Organized work by urgency, ownership, customer impact, and next required action.

04

Expose controlled visibility

Separated internal operational context from customer-safe milestones and communication.

The solution

Capabilities designed as one operational system

01

Integration gateway

Partner adapters validate, map, deduplicate, and monitor inbound and outbound exchanges.

02

Operational timeline

A traceable sequence of planned, reported, inferred, and corrected shipment events.

03

Exception workspace

Rules, queues, assignment, escalation, notes, evidence, and resolution tracking in one view.

04

Customer communication

Configurable portals, notifications, and APIs publish approved status and exception updates.

System architecture

Clear boundaries between experience, domain, and platform layers

LAYER 01

Partner boundary

Adapters isolate external formats and reliability from the internal domain model.

LAYER 02

Event backbone

Durable events support replay, reconciliation, downstream workflows, and audit history.

LAYER 03

Workflow engine

Rules create and route exceptions while preserving operator judgement and escalation.

LAYER 04

Experience APIs

Role- and customer-aware interfaces serve operations, portals, reports, and integrations.

Advanced capabilities

Intelligence introduced with evidence, controls, and operability

01

Delay-risk support

Combine milestone history, route context, and current events to prioritise shipments needing review.

02

Automated reconciliation

Match related orders, references, documents, and partner events with confidence scoring.

03

Network pattern analysis

Identify recurring exception patterns by lane, partner, facility, service, or customer.

Potential outcomes

What the engineering approach enabled

  • A shared operational view across fragmented partner systems
  • Clearer ownership and escalation for service exceptions
  • More consistent customer status communication
  • Reusable integration patterns for network expansion

Engineering lessons

What carries into the next platform

  1. 01A control tower succeeds when it improves action, not when it merely adds another dashboard.
  2. 02Data confidence and provenance should be visible to operators.
  3. 03Canonical events require business ownership as well as technical governance.

Technology landscape

Event streamingAPIsEDIPostgreSQLWorkflow servicesNext.jsCloud infrastructure

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