ERP–CRM integration with continuity of data
An example of synchronization, error recovery and duplicate control across systems.
Explore the workThe data flow between ERP, CRM and sales, how to test it before switching it on, and the four failures that always appear weeks after connecting it.
Connecting your ERP to your CRM looks like a credentials problem and ends up being a decisions problem. These are the decisions to make before writing any code, and the failures that show up when one of them is skipped.
If both the ERP and the CRM can edit the same field, sooner or later there will be two different values and someone will have to decide which one wins. That decision is made per FIELD, not per system: the price can belong to the ERP and the deal stage to the CRM.
A one-way sync is considerably simpler and is often enough. A two-way sync means resolving conflicts and doubles the surface for errors. Start one way and extend it only if the process really needs it.
In a test environment, with failures triggered on purpose: expired credentials, an empty required field, the same record sent twice and the destination system down. If the integration survives those four cases, it survives daily use. Historical data is loaded separately, in small batches, with counts that can be reconciled.
An automation platform handles moderate-volume flows with existing connectors well. Custom code makes sense when the volume, the transformation rules or the audit requirements go beyond what the platform supports. The technology is chosen after the scope, never before. If you are looking for someone to build it, this is our API integration service.
A flow with fictional data: a successful sync, an API error and the recovery of the record without duplicating it.
An example of synchronization, error recovery and duplicate control across systems.
Explore the workAn order, enquiry or stock change should not require updating several tools by hand. We connect your applications so data reaches the right place and you can see what happened.
We turn repetitive tasks into workflows that read information, validate data and take actions in your tools. Your team can follow what happened and handle exceptions.
We design databases, organise information and connect the data your team works with. We address slow queries, migrations and records spread across tools.
Tell us the source, the destination and what should happen when something fails.