EDI, API Integration

Why Integration Projects Fail When Treated as Development Work

Why Integration Projects Fail When Treated as Development Work
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Across conversations we have had with forward-thinking CTOs in the logistics and supply chain space, a consistent theme keeps emerging. Regardless of company size or technical maturity, the same two observations surface when discussing integration projects.

  1. Integration projects are primarily data-mapping exercises
  2. Development resources should not be doing data mapping

Those two points explain why so many integration initiatives struggle with cost, timelines, or just fail.

The Reality of API and EDI Integration Work

API and EDI projects are often framed as technical challenges: connecting endpoints, handling authentication, managing payloads, or standing up message flows. That framing naturally pushes ownership to development teams.

In practice, however, that is not where the effort goes.

API EDI Integration Hidden Time Sinks

The majority of the time spent on API and EDI integration projects is consumed by these tasks

  • Field-by-field data mapping
  • Normalizing inconsistent schemas
  • Managing edge cases and exceptions
  • Reconciling business rules between systems
  • Reworking mappings as requirements inevitably evolve

Connecting to an API or EDI endpoint is rarely the most difficult part of the project. Understanding what each field represents, how it should be transformed, and how to keep that maintain the integration over time are the real project blockers. These tasks are tedious and ongoing.

Why Developers Are the Wrong Resource

One of the most consistent points we hear from forward-thinking CTOs is a clear desire to keep development teams out of data-mapping work.

Not because the work is unimportant, but because it is the wrong use of highly skilled engineering talent.

Development resources are best suited for:

  • Building and enhancing core platforms
  • Solving complex technical problems
  • Delivering differentiated capabilities

When those same teams are pulled into repetitive mapping and transformation tasks, two predictable outcomes follow:

  • Integration costs increase unnecessarily
  • Developer focus and morale suffer

“Integration projects quietly become a tax on the organization rather than an accelerator.”

A Better Way to Think About Integrations

The shift we see successful organizations making is recognizing that API and EDI integrations are fundamentally data problems, not software engineering problems.

Integration projects require:

  • Deep understanding of business data
  • Domain context and operational knowledge
  • Repeatable, reusable integration patterns
  • Purpose-built tooling for mapping, transformation, and orchestration

When integration projects are approached this way, development teams stay focused on high-value work, and integrations become faster, cheaper, and easier to manage at scale.

The Takeaway

If your integration strategy depends on developers manually mapping fields, writing glue code, and maintaining one-off API or EDI connections, you are overpaying while slowing the business down.

It is a subtle change in mindset—but one that has a meaningful impact on speed, cost, and scalability. It is also why we say that with 1Logtech, integrations are configured, not coded.

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