Transforming Home Electronics Customer Self Installation Experience with AI
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Abstract
The paper presents an explanation of how a business can use artificial intelligence to enhance the self-installation process of the customers of home electronics. Most product returns occur due to confusion that occurred by the users during unboxing, handling, fitting, placement, and wiring. The paper employs a qualitative approach to know these problems and how machine learning models can provide step by step guidance to users. The results demonstrate that AI is capable of identifying mistakes in installation, reducing instructions, and adjusting to the environment of the user. Combining computer vision, predictive modelling, and reinforcement learning, the manufacturers will be able to minimize errors, assist the customer in real-time, and enhance satisfaction. The article gives a practical advice towards developing AI-based installation systems.
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