In today’s highly competitive business environment, understanding and improving customer satisfaction is paramount. This is especially true in the dairy industry, where product quality and customer perception can significantly impact brand loyalty and market share. A recent study proposes an advanced model using an Adaptive Neuro-Fuzzy Inference System (ANFIS) combined with elements of the American Customer Satisfaction Index (ACSI) to assess customer satisfaction.
The research highlights the critical role of customer feedback in shaping business strategies and improving product offerings. The dairy industry, with its intricate processes of handling perishable goods, requires robust mechanisms to gauge and enhance customer satisfaction continually. The innovative model presented employs fuzzy logic and neural networks, minimizing the need for extensive input data while maximizing accuracy in output.
By conducting a comparative analysis against traditional methods like case-based reasoning and multiple linear regression, the ANFIS model demonstrated superior performance in predicting customer satisfaction levels. This model stands out for its ability to handle complex, nonlinear data, offering a more precise and reliable tool for strategic decision-making in dairy product management.
The study underscores the importance of employing advanced analytical tools like ANFIS to stay ahead in the competitive market. By integrating customer feedback into strategic planning, dairy businesses can enhance product quality, foster customer loyalty, and maintain a positive brand image. The research not only contributes to academic knowledge but also provides practical insights for industry practitioners seeking to optimize customer satisfaction and drive business growth.
In conclusion, the application of ANFIS in customer satisfaction assessment represents a significant leap forward in the dairy industry’s approach to understanding and fulfilling customer needs. This method offers a more nuanced and accurate analysis, enabling businesses to make informed decisions and enhance their customer satisfaction strategies effectively.
Click on link to read the full publication: Industrial Application of the ANFIS Algorithm – Customer Satisfaction Assessment in the Dairy Industry,
Cite this article: Ljepava, N., Jovanovic, A., Aleksic, A (2023) Industrial Application of the ANFIS Algorithm – Customer Satisfaction Assessment in the Dairy Industry, Mathematics, 11(19), 4221.
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