Artificial intelligence is now also being used in many business areas to improve performance and make workflows and processes more efficient. So why can't AI replace a punch-out process, which often seems unnecessarily complicated for many companies? This is exactly what we will discuss in this article.
B2B e-commerce is under enormous pressure to change: companies want to shop faster, more transparently and more efficiently without throwing their existing systems overboard. At the same time, the use of artificial intelligence opens up completely new possibilities for structuring data, automating processes and reducing the workload of employees. It is precisely at this interface that a question arises that is being asked more and more frequently, especially in the B2B environment: If AI can do so much - does it still need PunchOut at all?**
The short answer is: Yes, but not without addition. Because while AI can make many areas of internal and external procurement more intelligent, PunchOut remains an indispensable technical standard for connecting purchasing systems with supplier shops in a secure and standardised way.
PunchOut is a technical standard that is primarily used in B2B e-commerce. It is a direct connection between buyer and supplier by connecting the purchasing system (SAP, Jaggaer etc.) with the supplier shop.
Opening catalogues from the e-procurement system
Importing shopping baskets
Keep master data and prices consistent
Adhere to compliance and budget rules
AI cannot replace standards of PunchOut processes. However, it can massively reduce the "friction losses " around PunchOut processes. For example, within the following points:
Product data and classifications: The AI can automatically assign product-specific groups (UNSPSC/ETIM/). At the same time, it can support error corrections and simplify the maintenance of supplier data. This can eliminate a lot of manual processes, resulting in considerable resource savings.
Catalogue maintenance:** Outdated data can be recognised by the AI and its attention drawn to it. If information is missing, it suggests alternatives and can also generate structured export formats. This means that existing online shops or product catalogues are always up to date and sources of error are minimised.
Mapping between systems:** AI can be used to automatically suggest matching tables and field mappings. It can also reduce the implementation effort from weeks to days.
User experience:** AI can support the search function. It can be used to generate efficient suggestions for article sets, consumables and other alternatives. On the one hand, this improves the customer experience and, at the same time, the chance of increased sales.
There are many reasons why artificial intelligence can only support the PunchOut process and not directly replace it. Because for AI to replace PunchOut, it would have to:
Fully cover the technical standards of a purchasing network
guarantee identical format validity
fulfil ERP compliance
Clearly map all tax law requirements
Guarantee deterministic processes
Even if AI can simplify many things in purchasing today, one thing remains clear: It does not replace standardised integrations such as PunchOut - but it does make them more efficient.
This is exactly where we want to start with our SaaS solution PunchCommerce. We are currently working on a MCP interface between the B2B procurement process and PunchOut processes. This is because we clearly see ourselves as an interface to create a bridge between AI and B2B.
If you have any questions or suggestions, just send us an email hallo@punchcommerce.de or call us at +49 6142 / 953 80 - 60. We appreciate your feedback!
Back to the journal