The landscape of Electronic Data Interchange (EDI) is undergoing a significant transformation, thanks to advancements in AI. Emerging as a game-changer, ChatGPT, has immense potential to redefine the way businesses support their trading partners.
As organizations strive for greater efficiency and accuracy in EDI processes, it´s become difficult to overlook the tool as a potential asset to EDI support and IT teams to enhance the overall EDI experience.
And, while the tool is still in its infancy, its capabilities are showing promise in revolutionizing the way businesses exchange data and build integrations.
Based on early findings, here are some ways ChatGPT can support EDI.
Create new mappings
With ChatGPT, you can generate mappings just by using expected input and output samples. This not only makes it easier to implement brand-new mappings, but it also supports both standard formats and emerging, partner-specific formats.
In the end, this is a faster and more convenient way for teams to build new connections and adapt to diverse data requirements.
Modify or extend existing formats
When working with internal formats and generic standards like EDIFACT, X12, and ULB - it's common to map only a small portion of the standard.
However, there are cases where mappings have to be expanded to include additional sections or other qualifiers to fit in important data. In these cases, ChatGPT can be a valuable tool to use to extend these mappings – all you need to generate the right prompt are the necessary sample files.
Watch a live ChatGPT demo and learn how to work with formats, create the right EDI-related prompts and even perform XSLT transformations at our upcoming webinar.
Verify trading partner formats
When onboarding and setting up a new trading partner in an integration system, it can be time-consuming to verify that:
- They comply with the agreed upon format and
- The information in the order/invoice matches the information in the order itself.
Double checking both entries to make sure they match up is definitely a task for ChatGPT.
Data validation, error handling and messaging
Accurate EDI error messages are crucial when routing errors to the right stakeholders – which can be achieved with schema or schematron validation. These rules are typically developed over time as the cause of recurring errors are eventually identified.
ChatGPT can help you enrich or adjust your schemas by incorporating additional validation measures such as regex expressions for specific fields. It can even generate additional schematron validation to verify dependencies and ensure content consistency, such as confirming that the sum of line amounts matches the header line amount. In addition, ChatGPT can provide expected solutions for validation errors.
Dynamic Conversations
The process of onboarding and setting up a new trading partner in an integration system typically involves a lot of back-and-forth communication between the provider and the partners themselves.
With the help of ChatGPT, each entity can take part in dynamic conversations where users can ask questions and receive fast responses. This interactive capability speeds up communication between trading partners, resulting in quicker and more efficient partner onboarding.
This simplified approach to onboarding saves time for EDI support teams and the line of business - making the overall process much more time-effective.
ChatGPT has already shown itself to be a promising tool for both people and businesses given its ability to facilitate conversation and provide EDI support and countless other tasks.
Learn more about what ChatGPT can do for your EDI Support and IT teams at our upcoming digital event.
Embrace its potential and discover the innovation it can bring to the enterprise.
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