This paper aims to present the potential for integrating the classic Kano method with artificial intelligence
tools to support customer needs research and segmentation for manufacturing companies. This research provides a literature review of the Kano method and AI technologies used to analyze customer data. A case study
conducted at a Polish manufacturing company in the SME sector explored ways to better align offerings with
market expectations. The study is based on identifying product features and developing a Kano questionnaire,
followed by the use of popular chatbots (i.e., ChatGPT, Copilot, and Gemini) to automatically assign these
features to the appropriate Kano model categories. The data originates from online surveys and direct contact
at points of sale. The results of the automated analysis are compared with traditional results, assessing the compatibility of both approaches. The paper demonstrates that integrating these two methods significantly improves
the decision-making process for product development, increasing the precision of customer needs identification
and the effectiveness of implemented innovations.