The global and independent platform for the SAP community.

Digital Assistants in the BTP

Large language models (LLMs) such as ChatGPT mark a milestone in the use of AI. SAP-based procurement also benefits from LLM bots that communicate highly efficiently with users.
Sergen Batman, apsolut Group
December 7, 2023

LLMs massively expand the possibilities for AI-supported language processing. Large language models use deep learning techniques and are trained to recognize the patterns and relationships between words and phrases using billions of data sets. This enables them to process, understand, and generate human language.

Automated procurement

Another group of digital purchasing assistants are LLM negotiation bots for tail spend orders. Due to the low individual volume of tail spend orders, most purchasing organizations do not consider it economically viable to use their own employees for negotiations. However, although individual tail spend orders have a low cost, the total volume can accumulate considerably.

Another group of digital purchasing assistants are LLM negotiation bots for tail-spend orders. Due to the low individual volume of tail spend orders, most purchasing organizations do not consider it economically viable to use their own employees for negotiations. However, although tail-spend orders individually cause low costs, the total volume can accumulate considerably.

LLM negotiation bots can exploit the savings potential of tail spend orders by automating the entire negotiation process: from selecting the orders to be negotiated, determining the negotiation strategy, conducting negotiations with the supplier, up to implementing the order.

Determination of product groups

A third current example is innovative LLM bots for automatically determining the product group, as provided by SAP Buying 360—a new function of SAP Ariba Buying and S/4 Cloud, Public Edition. In this use case, the use of AI also greatly relieves the burden on retailers, as determining merchandise categories is one of the most time-consuming tasks in their day-to-day work. 

LLM bots offer purchasing departments a number of key benefits. In addition to tail spend savings, the reduction in time and costs through automated operational procurement processes ranks right at the top. As monotonous, repetitive tasks are taken over by machines, retailers can concentrate on strategic and innovative tasks. This increases their motivation and allows the sales department to focus more on improving procurement processes and supplier management. Regulatory requirements such as the German Supply Chain Duty of Care Act (LkSG) and increasing supply bottlenecks require comprehensive supply chain monitoring and risk management, now more than ever.

Individual services

Whereas requesters would have to rely on manual support from often overworked retail staff, the FAQ and negotiation bots can access the backend systems directly and can deal with any query or request immediately. In addition, the bots also optimize purchasing data quality. In order for the LLM bots to work reliably, the data records in the SAP back-end systems must be up-to-date, complete, error-free, consistent, and unmistakable. This forces retailers to continuously maintain their data. Requesters must also pay attention to these quality criteria when entering data to ensure their requests can be answered satisfactorily. High data quality significantly reduces error rates in operational procurement processes.

The introduction of modern LLM bots in SAP-based purchasing organizations should follow a clear road map. The next step is to use prompt engineering methods to communicate these questions to the generative AI model in such a way that it delivers high-quality and relevant results. As large language models can be trained to immediately recognize the intention of the questioner and assign the question to the corresponding use case, the development and implementation effort is significantly lower than for conventional chatbots. This is because separate paths have to be built for each use case. In contrast, a single LLM bot can cover many different tasks and applications within a retail organization. 

It is important to start with change management measures early on in the project in order to increase user acceptance. This is the only way to ensure that requesters and suppliers are prepared to interact with the new text robots once they are released and put into operation.

Sergen Batman, apsolut Group

Write a comment

Working on the SAP basis is crucial for successful S/4 conversion. 

This gives the Competence Center strategic importance for existing SAP customers. Regardless of the S/4 Hana operating model, topics such as Automation, Monitoring, Security, Application Lifecycle Management and Data Management the basis for S/4 operations.

For the second time, E3 magazine is organizing a summit for the SAP community in Salzburg to provide comprehensive information on all aspects of S/4 Hana groundwork. All information about the event can be found here:

SAP Competence Center Summit 2024


Event Room, FourSide Hotel Salzburg,
At the exhibition center 2,
A-5020 Salzburg

Event date

June 5 and 6, 2024

Regular ticket:

€ 590 excl. VAT


Event Room, Hotel Hilton Heidelberg,
Kurfürstenanlage 1,
69115 Heidelberg

Event date

28 and 29 February 2024


Regular ticket
EUR 590 excl. VAT
The organizer is the E3 magazine of the publishing house AG. The presentations will be accompanied by an exhibition of selected SAP partners. The ticket price includes the attendance of all lectures of the Steampunk and BTP Summit 2024, the visit of the exhibition area, the participation in the evening event as well as the catering during the official program. The lecture program and the list of exhibitors and sponsors (SAP partners) will be published on this website in due time.