A structured approach to ERP implementation
ERP projects reshape processes, data and responsibilities. A structured approach helps reduce complexity and supports a stable go-live.
Core best practices include :
When any of these steps break down, the impact is immediate. Shipments pause, invoices wait, labelling stops, and teams lose time coordinating manual fixes. Reliable Output Management keeps your business moving.
Where ERP projects often struggle
Many challenges appear when document and communication requirements are not defined early enough.
Common issues include :
These risks tend to surface late in the project when deadlines are tight.
Why Output Management should be part of ERP planning
Every ERP project relies on business output such as invoices, orders, labels, delivery notes and certificates. These outputs trigger operational workflows in finance, logistics, sales and supply chain teams.
Including Output Management as a project track helps teams:
Early planning ensures operational readiness and reduces the risk of last-minute redesign.
The limits of standard ERP output
Most ERP systems include basic tools for printing and formatting. These are useful for simple needs, but they cannot support the full range of business requirements.
Typical limitations include:
These gaps often appear during testing. For more detail, see 6.1.4 When Standard Is Not Enough.
A better approach to output in ERP projects
Using a dedicated Output Management platform provides a consistent way to design, enrich and deliver documents across markets and systems.
This approach offers :
It supports both day-to-day document needs and long-term ERP evolution.
Interform’s role in Output Management
Interform provides a specialised Output Management platform that works alongside your ERP and other connected systems. Output is best handled as its own track in an ERP project, so that templates, workflows and compliance needs are clearly defined.
Interform helps manage :
This creates a stable and flexible output setup that continues to work as systems evolve.