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Case study · 2024

Manufacturing ERP & WMS Bridge

A manufacturer rolled out a modern cloud warehouse system while production planning and finance still ran on a long-established ERP. Overnight file drops and spreadsheet reconciliations could not keep up with same-day shipping promises to large retail customers. Operations needed reliable, visible synchronization between the two worlds.

Client
Discrete Manufacturing Conglomerate
Practice
Web & Cloud Engineering
Industry
Manufacturing
Lifecycle
6 months
Outcome highlights

Business impact at a glance.

Measured Impact
2.3%

Order-to-ERP acknowledgment error rate fell from 2.3% to 0.18%.

Verified Outcome

Overnight reconciliation batches reduced from seven to two non-critical jobs.

Verified Outcome

Mean time to detect integration failures improved from hours to minutes via alerting.

Verified Outcome

Peak-season shipping days completed without manual “bridge” spreadsheet interventions.

Verified Outcome

Development team velocity for new message types improved with shared templates and tests.

01

Business Challenge

  • Order and shipment updates sometimes arrived in the wrong order between the warehouse system and the ERP.
  • The same warehouse event could post to finance twice, with no reliable way to detect duplicates.
  • ERP maintenance and peak shipping windows collided; when something failed, teams needed a safe way to retry without corrupting data.
  • When message queues backed up, there was no clear operational picture of what was stuck or why.
  • New services had to run in containers and respect existing network boundaries (DMZ, VPN) and security standards.
02

Our Approach

We placed a dedicated .NET 8 integration layer between the warehouse platform and the ERP, using the client’s approved RabbitMQ cluster for messaging. Each message carried stable business identifiers; because delivery can repeat in real systems, we stored deduplication data in SQL Server so finance never saw the same logical event twice. Hangfire ran scheduled checks and dead-letter inspection. A small Blazor operations console gave IT and supply-chain leads queue depth, failures, and controlled replay—with guardrails so retries stay safe.

Phase 01

Discovery & alignment

Workshops, process and systems review, success metrics.

Phase 02

Design & planning

Architecture, experience and workflow design, delivery plan.

Phase 03

Build & validation

Implementation, integration, testing, demos, refinements.

Phase 04

Go-live & enablement

Controlled rollout, training, handover, post-launch tuning.

03

What We Delivered

  • Canonical message schemas for order release, pick confirmation, shipment, and inventory adjustment.
  • Outbox pattern from WMS-facing APIs to ensure publish reliability.
  • Retry policies with exponential backoff and poison-message quarantine.
  • Hangfire dashboards restricted to operations roles for controlled reprocessing.
  • Health checks and metrics endpoints integrated with existing Prometheus and Grafana.
  • Documentation and handover for on-call rotation and ERP cutover windows.

Technology Stack

ASP.NET Core .NET 8 Worker Service RabbitMQ Hangfire SQL Server Docker Blazor Prometheus
The bridge stopped being a black box. We see failures, we replay safely, and finance trusts the numbers again.

Director of IT, Supply Chain

Manufacturing

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