{"id":111097,"date":"2025-12-01T09:09:07","date_gmt":"2025-12-01T08:09:07","guid":{"rendered":"https:\/\/www.applus-erp.de\/wissen\/blog\/erp-trends\/"},"modified":"2026-10-01T11:57:20","modified_gmt":"2026-10-01T09:57:20","slug":"erp-trends","status":"publish","type":"blog","link":"https:\/\/www.applus-erp.de\/en\/knowledge\/corporate-development\/blog-erp-trends\/","title":{"rendered":"ERP trends 2026: You can’t miss these developments"},"content":{"rendered":"\n

Although ERP systems<\/a> have also evolved over the years<\/strong>, they basically offer the same core functions as they did decades ago. In view of this, is it worth talking about ERP trends at all? In any case. As an ERP provider, we are constantly researching and testing innovations<\/strong>. In this article, we take a look at the meteoric development of AI<\/a> and LLMs<\/strong>, among other things. The technologies are no longer just hype, but already offer great potential for use today. We also highlight five other top trends<\/strong> that you should also focus on in 2026.<\/p>\n\n

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Trend 1: AI and LLMs offer new opportunities<\/h2>\n\n

A year ago, the use of large language models (LLMs) in the business environment was still associated with limitations. While AI was already being used successfully in many areas, language models such as ChatGPT were still struggling with challenges such as “hallucinating”. <\/p>\n\n

Since then, however, the development of technologies has picked up speed rapidly<\/strong>. Today, it is clear that AI and LLMs<\/a> are having an ever greater impact on ERP systems. This currently affects the following fields of application<\/strong> in particular: <\/p>\n\n

LLM-based assistance systems<\/h3>\n\n

Insbesondere text- und sprachbasierte KI-Chatbots<\/strong> meistern Aufgaben im gesch\u00e4ftlichen Kontext<\/a> mittlerweile mit Bravour. Denn die Qualit\u00e4t der Antworten hat sich immens verbessert.<\/p>\n\n

If the user asks a question, the technology delivers extremely useful results in natural language within a very short time<\/strong>. In this way, users receive useful information that supports<\/strong> them in their daily work<\/strong>. If help is needed to complete a task, virtual assistants<\/a> provide information on analyses and key figures or how to operate the system, for example. <\/p>\n\t\t

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