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IoT and AI Integration in Wool Classification: Elevating Customer Experience in Textile Marketing
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Author(s): Swagata Sarkar (Sri Sairam Engineering College, Chennai, India), Ciro Rodriguez (Universidad Nacional Mayor de San Marcos, Lima, Peru), Nithi Ravya S. (Sri Sairam Engineering College, Chennai, India)and Jeena A. Thankachan (Sri Sairam Engineering College, Chennai, India)
Copyright: 2025
Pages: 20
Source title:
Leveraging AI-Powered Marketing in the Experience-Driven Economy
Source Author(s)/Editor(s): Rhytheema Dulloo (Hindustan Institute of Technology and Science, India), Anand Kurian (University of Exeter Business School, UK), Minja Bolesnikov (Swiss School of Business and Management, Switzerland), Ilse Struweg (University of Johannesburg, South Africa)and Kaliyan Mathiyazhagan (Thiagarajar School of Management, India)
DOI: 10.4018/979-8-3693-9561-5.ch010
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Abstract
This chapter introduces an integrated wool classification system that leverages the Internet of Things (IoT) and Artificial Intelligence (AI) technologies to enhance the customer experience in textile marketing. The primary objectives are to: develop an automated wool classification system using IoT sensors to measure critical wool characteristics; implement advanced AI algorithms, specifically Convolutional Neural Networks (CNN) and VGG16, to enable precise and efficient wool quality classification; and address the limitations of traditional manual classification methods to ensure superior product consistency, ultimately enhancing customer satisfaction. Using IoT-enabled sensors, the system gathers key physical characteristics of wool. These data points are then processed by powerful AI algorithms, enabling accurate and rapid wool quality classification. For brands in the textile industry, this innovative system offers a marketing advantage through quality assurance, transparency in production, and the ability to deliver superior customer experiences.
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