Common failures come from the same places
TSS API projects fail for a small number of reasons. Recognise them early and you save weeks of rework. The TSS declaration workflow options breaks these down alongside the decision framework.
Failure one: unauthoritative product data
If product records are spread across several systems, the mapping will contradict itself. Consolidate first.
Failure two: no rejection design
Success flows through untested. Rejections queue up silently until a deadline is missed. Design the rejection path with the same rigour as the submission path.
Failure three: parallel run cut short
Teams end parallel running as soon as the API works for the easy cases. The full month cycle needs to run cleanly before the portal is decommissioned.
Failure four: peak load surprise
Volume in the test environment does not match volume around the tenth of the month. Load-test at peak, not at baseline.
Failure five: no owner for exceptions
Automated does not mean owner-less. Someone has to own the queue of unresolved rejections, or they will not resolve.
Fix pattern
Fix the data, fix the queue, fix the exception owner, and only then look at the code.
Avoid these failures with a proven TSS integration setup. Watch a demo.
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