System integration
System integration that keeps business data moving—and failures visible.
When staff re-enter orders, customers, products or reports, people are carrying information between systems. I build integrations that move records between ecommerce, warehouse, ERP, freight, CRM, accounting and internal applications using the interfaces each platform supports. The work includes the mapping, validation and recovery needed when a transfer does not go to plan.
Discuss an integrationWhere integration helps
The information already exists. The handover is the problem.
Software integration is worth considering when repeated data entry, manual file preparation or unreliable transfers are creating unnecessary operational work.
Repeated entry
The same record is entered more than once
An order arrives in one platform, then someone recreates the customer, products or delivery details in another. Integration can move that information using agreed rules instead of relying on repeated manual entry.
Inconsistent records
Systems disagree about the same information
Product codes, customer details, stock figures or order statuses drift apart because ownership has never been defined. A sound integration establishes which system is authoritative and which updates should flow elsewhere.
Exceptions
Failed transfers are discovered too late
An order, report or tracking update does not arrive, but nobody knows until a customer follows up or a reconciliation exposes the gap. Failed and incomplete records should be visible while someone can still act on them.
A practical integration flow
A transfer is not complete until the destination has accepted it.
The platforms and connection methods vary, but a reliable data flow usually needs to answer the same questions at each stage.
01
Read the source record
Identify the record that should move, when it becomes ready and which system owns the original information.
02
Validate required data
Check that required fields, identifiers and reference values are present before attempting the transfer.
03
Map formats and business rules
Translate product codes, customer references, statuses, dates and other values into the form expected by the receiving system.
04
Deliver through the supported interface
Send the record using an API, web service, structured file, scheduled process or supported database interface.
05
Confirm the result
Record whether the destination accepted or rejected the transfer. Preserve the source reference so the same record is not created twice.
06
Monitor and recover
Make incomplete or failed transfers visible, reconcile expected records against processed records and provide a controlled way to correct or retry them.
Integration scope
Define the data flow, including what happens when it fails.
A reliable integration does more than send data from one system to another. It defines ownership, validates each handover, records the result and provides a controlled way to deal with exceptions.
Establish ownership and update direction
Each important field needs a source of truth. The integration should define which system owns the value, where updates may originate and whether information moves in one direction or both. This helps prevent conflicting changes and update loops.
Use the interface each platform supports
API integration is often appropriate when a supported API is available. Other systems may exchange XML or CSV files, expose a web service, run scheduled jobs or provide a supported SQL Server interface. The practical method depends on the access and constraints of the systems involved.
Map and validate records
Different systems rarely describe the same information in exactly the same way. Identifiers, required fields, status values, formats and reference data need to be mapped deliberately. Incomplete or invalid records should be stopped before they create a harder problem downstream.
Handle repeats, interruptions and recovery
Timeouts and partial failures create uncertainty: did the destination receive the record, or did the response simply fail to return? The integration should check the destination state where possible and use stable source references so a retry does not create a duplicate.
Make transfers visible and reconcilable
Logs should show what was attempted, which record was involved and why it failed. Appropriate monitoring, status reporting or notifications can then direct exceptions to the person responsible. Reconciliation confirms that the records expected to move are the records that actually arrived.
Before production
Test the ordinary flow and the failure paths.
An integration is ready when expected records move correctly and unsuccessful ones can be found, understood and handled.
01
Trace the current handover
Identify the participating systems, record types, source of truth, transfer timing, expected volumes, access constraints and manual steps. This establishes what the integration needs to replace or support.
02
Test representative and exceptional records
Testing should cover ordinary records as well as missing required fields, invalid identifiers, repeated submissions and an unavailable destination. Acceptance checks confirm that the receiving system contains the expected result and that rejected records remain visible.
03
Release with monitoring and support in place
Deployment should account for production credentials, configuration, scheduling and initial reconciliation. Responsibility for reviewing failures should be clear. APIs, file layouts, credentials and business rules can change, so existing integrations may also need maintenance over time.
Scope and cost
Scope one data flow before estimating the work.
A useful starting point is the source system, destination system and a sample of the records that need to move. Mapping rules, authentication, volumes, timing, validation, test access, recovery requirements and monitoring all affect the implementation.
Project work
Scoped & quoted
A proposal can cover one agreed data flow, including its mapping, validation, testing, release and initial production checks. Additional record types, reverse flows, platforms or ongoing maintenance can then be assessed separately.
Request an integration reviewQuestions
Questions about system integration
Fit and interfaces
What does system integration mean in practical terms?
It means business systems exchanging information so a person does not have to recreate it manually. That might involve sending an order to a warehouse, returning shipment details to an ecommerce platform or keeping selected customer and product information consistent between applications.
Do we need custom development if a connector already exists?
Not necessarily. A vendor-supported connector may be the most sensible choice when it handles the required records, mapping and failure scenarios. It should still be checked for how it reports errors, prevents duplicates, retries failed transfers and supports reconciliation.
Can software be integrated if it does not have an API?
Sometimes. A supported file import or export, web service, scheduled process or database interface may provide another route. The system vendor still needs to expose an appropriate and supportable way to exchange the data.
Reliability and support
What happens when a record is rejected or incomplete?
The record should remain identifiable, with enough information to understand why it failed. Depending on the workflow, it may be corrected and retried, directed to someone for review or deliberately excluded. It should not disappear without a trace.
How do you avoid duplicate or missing records?
The exact design depends on the participating systems, but common controls include stable source references, validation before submission, recorded transfer status, confirmation from the destination, safe retry rules and reconciliation of expected records against accepted records.
Who maintains an integration after it goes live?
That should be agreed before release. The business needs to know who reviews failures, while technical support may be needed when APIs, credentials, file formats or business rules change. The appropriate arrangement may be ongoing support or planned work when a change is required.
Discuss the work
Show me where the data changes hands.
Name the systems involved, the records being moved and which system should own the information. If possible, include a sample record and an example of something that currently fails or requires manual correction. I can review the available access and the existing handover to establish a sensible first integration flow.