Have you ever wondered how artificial intelligence and large language models (LLMs) could affect the efficiency and innovation of organisations using SAP systems? If so, you are in the right place. In this article, we share the latest trends and recommendations, and show how SNOK applies these technologies in practice.
Large language models: a brief introduction
Large language models are AI systems that are exceptionally capable of generating and understanding natural language. Through techniques such as unsupervised learning on vast text datasets and transformer-based neural network architectures, LLMs have gained prominence in fields such as dialogue, context-based question answering, summarisation, translation and sentiment analysis.
How do LLMs affect SAP technology?
Large language models and SAP technology together form a powerful combination with the potential to transform how enterprises manage their processes, analyse data and interact with customers. This is no longer merely a future prospect - it is a reality that organisations should embrace as soon as possible. Below we present examples of LLM applications in an SAP context.
Optimising business processes
Automating routine tasks
One of the most obvious applications of LLMs in SAP technology is the automation of routine tasks. In supply chain management, for example, these models can analyse data in real time and suggest optimal logistics routes, significantly speeding up processes and reducing costs.
Intelligent resource management
In enterprise resource planning (ERP), LLMs can help automatically forecast resource needs, analyse trends and optimise inventory management. This not only increases efficiency but also enables better use of resources.
Data analysis and insight generation
Customer sentiment and opinion analysis
LLMs can be used to analyse customer sentiment, which is extremely valuable in customer relationship management (CRM). Based on this analysis, SAP systems can automatically tailor offers and promotions to individual customer needs.
Forecasting and trend analysis
In business intelligence (BI), LLMs can help analyse large datasets and identify key performance indicators (KPIs). This allows organisations to forecast future results more accurately and make better-informed decisions.
Customer interaction and service
Chatbots and virtual assistants
LLMs can serve as advanced chatbots within customer service systems. They can not only answer complex questions but also proactively resolve issues, significantly improving customer satisfaction.
Personalisation of interactions
Thanks to their language analysis and generation capabilities, LLMs can help personalise customer interactions. For example, they can automatically generate marketing emails or special offers tailored to individual customer needs and preferences.
Security and compliance
Monitoring and threat detection
In cybersecurity, LLMs can be used to monitor systems and detect unusual behaviour, enabling faster identification of and response to potential threats.
Automating compliance processes
LLMs can also help automate processes related to regulatory compliance. For example, they can automatically generate reports and documentation required by various regulatory bodies.
Recommendations for organisations considering large language models and SAP technology
Why should you take an interest in large language models?
If you are an organisation using SAP solutions, you are certainly asking how to further optimise and innovate your business processes. This is where large language models come in. But why specifically these tools? These advanced AI systems can analyse and generate natural language at a scale not previously possible. This opens up entirely new possibilities - from automation to data analysis and personalised customer interaction. Sound intriguing? Read on.
How to get started: first steps in LLM implementation
Before deciding to implement large language models in your organisation, it is worth starting with a few fundamental steps. First, identify the areas where LLMs can deliver the greatest benefit. Is it customer service automation, or perhaps social media sentiment analysis? Second, consult with experts. At SNOK we already have our first LLM-based projects underway and are happy to share our experience.
Automation or personalisation? Why not both
Large language models offer a broad range of possibilities. On the one hand, they can automate routine tasks, which is particularly valuable in resource management or finance. On the other hand, thanks to their language analysis and generation capabilities, they can significantly improve the quality of customer interaction. Imagine a system that not only automatically responds to customer enquiries but is also able to proactively resolve their problems and tailor offers to individual needs. This is no longer science fiction - it is a reality you can introduce in your organisation.
Ethics and security: what you should know
Introducing AI into an organisation brings benefits, but also certain challenges. For example, how do you ensure the ethical use of data and the security of information? This is where cooperation with the technology provider is key. At SNOK we prioritise transparency and regulatory compliance, so you can be confident that your data is in good hands. We are also aware that implementing artificial intelligence in SAP technology is not only a matter of efficiency, but also of security and regulatory compliance. That is why we follow the international ISO 22989 guidelines, which represent a fundamental standard in the field of AI.
These documents provide an ethical and technical framework for the responsible use of artificial intelligence. This means you can be confident that our solutions are not only innovative, but also secure and compliant with the highest standards.
Case study: how SNOK applies LLMs in practice
At SNOK, we have already begun using large language models in combination with SAP solutions, and one of the most fascinating areas of application is human resources (HR) management.
We continually strive for innovation, and one of our latest achievements is SNOK HR Intellect. This is an advanced AI-based solution that comprehensively supports all HR procedures and guidelines across the organisation.
Thanks to this system, HR becomes not only more efficient but also more personalised. Imagine a chat function that not only answers employee questions but also analyses data and provides key information for talent and performance management. This is not just the future of human resources management - it is already our reality.
Thanks to LLMs, we have also managed to automate and streamline many processes that were traditionally time-consuming and prone to error. For example, we implemented an LLM-based system that automatically analyses candidates’ CVs and cover letters, assessing their fit against specified criteria and role requirements. This not only speeds up the recruitment process but also significantly improves its quality, eliminating subjectivity and human error. But that is not all. In talent management, LLMs help us analyse survey results and employee reviews, identifying development areas and suggesting personalised career paths. This allows us not only to retain talent within the organisation, but also to help people develop in line with their skills and aspirations. This is a practical application of large language models in SAP technology that is already delivering real benefits. So if you are wondering how LLMs could help your organisation, the answer is simple: the possibilities are almost limitless, and the benefits can be substantial.
Large language models and SAP - the future that has already arrived
In recent years, large language models have grown significantly in importance, becoming one of the most promising tools in the field of artificial intelligence. Their impact on various sectors, including SAP technology, is considerable. In this article, we have highlighted the diversity of LLM applications, from process automation and optimisation through data analysis to personalised customer interaction. Each of these areas offers substantial opportunities for organisations seeking to become more efficient, innovative and competitive.
We have also highlighted challenges such as ethics and security, emphasising that responsible implementation and management of LLMs are key to achieving long-term success. At SNOK, we have already begun applying these advanced technologies, particularly in human resources management. Our experience shows that the proper use of LLMs can deliver real benefits, both at a micro and macro scale.
If you are interested in implementing large language models in your organisation, now is the best time to start. This technology is no longer merely a futuristic vision - it is a reality that can significantly impact your business today. At SNOK, we are ready to help, drawing on our experience and expertise. Are you ready for a future full of innovation? If so, do not wait. Contact us to find out how we can help you make use of these fascinating technologies.
Do you have further questions or concerns after reading this article? Or have you already decided to implement LLMs in your organisation and would like to share your experience? We welcome your comments and reflections. This is only the beginning of the discussion on this fascinating topic.