What leaders see
People reconcile the same records repeatedly.
Orders, inventory, production, quality, and shipment status move through exports, re-entry, calls, and side files.
ERP Integration
Your employees should not be the integration layer. When manufacturing teams copy orders, inventory, production, customer, and financial information between systems, routine work becomes slow and unreliable. We define record ownership first, then engineer the interfaces, recovery paths, controls, and monitoring the operating flow requires.
01
The Business Problem
Integration problems begin when systems exchange fields without agreement about the operating record, timing, ownership, validation, recovery, and exception response.
What leaders see
Orders, inventory, production, quality, and shipment status move through exports, re-entry, calls, and side files.
What is actually happening
Identifiers, source ownership, timing, validation, monitoring, and recovery differ across systems and organizations.
What gets worse
Point-to-point fixes multiply while failures become harder to detect, explain, assign, and recover.
02
What Changes
When manufacturing teams copy orders, inventory, production, customer, and financial information between systems, routine work becomes slow and unreliable. We define record ownership first, then engineer the interfaces, recovery paths, controls, and monitoring the operating flow requires.
Document every system that touches your ERP — inbound and outbound data flows, frequency, format, and business criticality. You cannot govern what you have not mapped.
Design the integration layer — direct API, middleware platform, or hybrid — based on volume, latency requirements, and system capabilities. Choose the right pattern for each connection.
Define the data contract for every integration: field mapping, validation rules, error handling, retry logic, and SLA. Both systems agree on the contract before development starts.
Implement EDI/AS2 connections for customer and supplier transactions — 810, 850, 855, 856, 997. Compliance testing, trading partner onboarding, and error monitoring included.
Determine which integrations need real-time processing and which can run on schedule. Not everything needs to be real-time — but inventory, pricing, and order status usually do.
Integration monitoring with dashboards, error alerting, and automated retry. When an integration fails, the right person knows immediately — not when the warehouse calls asking about missing orders.
03
How It Fits Your Operations
Related Services and Planning
Follow the dependencies behind this service instead of treating it as an isolated project.
Expose approved records and transactions through permissioned customer, supplier, and partner experiences.
Explore next stepReconcile connected records into dependable operating measures, status, and decisions.
Explore next stepRoute the actions and exceptions that connected systems reveal.
Explore next stepUse Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
04
Delivery sequence
When manufacturing teams copy orders, inventory, production, customer, and financial information between systems, routine work becomes slow and unreliable. We define record.
Inventory all current and required integrations. Document data flows, volumes, frequencies, and business owners. Identify gaps and fragile connections.
Design the target integration architecture — middleware selection, API strategy, data contracts, and error handling patterns. Document everything before build starts.
Develop integrations in priority order with unit testing and integration testing at each milestone. EDI compliance testing with trading partners included.
Test the full data flow from source to ERP to downstream systems with real transaction data. Validate round-trip accuracy and timing under production-like volume.
Deploy with monitoring dashboards, alerting rules, and runbook documentation. Handoff to your team with training on troubleshooting and common failure patterns.
05
FAQ
Straight answers to what operators ask before committing budget to this work.
We choose the pattern from the business requirement: record ownership, volume, timing, recoverability, auditability, security, and the number of systems involved. Direct APIs, middleware, events, and scheduled exchange are options; none is the default for every connection.