AI Models Are Probabilistic
Ask a large language model the same question several times and you can get different answers.
EDI Data Must Be Deterministic
EDI data has to be deterministic. Data flowing into an ERP must be translated exactly the same way every time, and should change only when a specification changes. If AI runs the translation directly, there's a risk the same data gets translated differently. You still need a dedicated resource checking data accuracy, perhaps even more so with AI in the loop.
Managed EDI Provides That Consistency
Managed EDI provides that consistency. We keep up with trading partner compliance changes, handle exceptions and take accountability for the data. And the need for translation isn't going away. Manufacturers and distributors will always trade with partners who use different platforms and specifications.
AI has many good uses in EDI, and we're actively building it into our service.
It helps us speed up implementation, handle support requests and accelerate testing. The benefit to customers is faster onboarding and quicker support, with experienced people still accountable for the results.