{"id":75172,"date":"2024-12-17T12:18:41","date_gmt":"2024-12-17T11:18:41","guid":{"rendered":"https:\/\/xitaso.com\/?page_id=75172"},"modified":"2026-04-07T11:26:26","modified_gmt":"2026-04-07T09:26:26","slug":"multivac-ai-chatbot","status":"publish","type":"page","link":"https:\/\/xitaso.com\/en\/projects\/multivac-ai-chatbot\/","title":{"rendered":"MULTIVAC – Efficient use of knowledge through AI-supported chatbots"},"content":{"rendered":"

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The Challenge<\/h2>\n

Due to the large number of company divisions, an immense knowledge base was stored in different databases at MULTIVAC. This made the search for relevant information very confusing and time-consuming. The constant growth of both structured and unstructured data – such as process and machine specifications as well as documentation and protocols – also made it difficult to access quickly. A central solution was needed to make it easier for employees to access relevant data and thus optimize work processes.[\/vc_column_text][vc_empty_space height=”30″][vc_column_text css=””]<\/p>\n

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MULTIVAC Group<\/h2>\n

The MULTIVAC Group<\/a> offers complete solutions for packing and processing food, medical and pharmaceutical products, as well as industrial goods. The portfolio includes various packaging technologies, automation solutions, marking and inspection systems and, last but not least, packaging materials. The range is complemented by needs-based processing solutions – from slicing and portioning to bakery technology.<\/p>\n<\/div>\n<\/div>\n

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How we helped<\/h2>\n

MULTIVAC’s Data Solutions team was strengthened by our expertise in software engineering and AI to enable access to relevant data and optimize internal knowledge management using advanced technologies such as LLMs (Large Language Model) and RAG (Retrieval-Augmented Generation). To this end, we have transferred a wide range of company data from various sources (e.g. Wiki, SharePoint) into a central database. The AI chatbots use this data to generate precise answers to employees’ queries and refer to the underlying sources. This significantly speeds up the search for information.<\/p>\n