Applications in Home Improvement Retailer, Koctas

Mourad, Nahia and Raza, Hammad and Amjad, Muhamamd and Ullah, Muhammed Ubaid and Elmitwally, Nouh (2023) Applications in Home Improvement Retailer, Koctas. In: 2023 International Conference on Business Analytics for Technology and Security (ICBATS), 7th - 8th March 2023, Dubai, United Arab Emirates.

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Abstract

— It sounds like Koçtaş is a leader in the home improvement sector in Turkey, and they are focused on providing the best service and customer experience possible. They are also actively working to accelerate their digital investments and use their vast amount of customer data to innovate in the industry. One way they are using this data is by collecting and analyzing video camera images using AI. This allows them to detect humans and identify which products and shelves are most viewed in their stores. This information can then be used to optimize store layout and product placement for a better customer experience. Another way Koçtaş is innovating is through the implementation of kiosks that use Natural Language Processing (NLP) to interact with customers. These kiosks can understand and respond to questions asked by customers using AI, providing a more personalized and human-like experience. Finally, Koçtaş is using Dynamic Creative Optimization to create personalized advertisements for their customers. This method allows them to optimize the content and format of their ads based on the individual preferences and behavior of their customers, leading to more effective marketing. Overall, Koçtaş is using technology and data to drive innovation and provide a better customer experience in the home improvement industry.

Item Type:	Conference or Workshop Item (Paper)
Identification Number:	10.1109/ICBATS57792.2023.10111152
Dates:	Date Event 7 March 2023 Accepted 15 May 2023 Published Online
Uncontrolled Keywords:	Industries, Technological innovation, Layout, Cameras, Natural language processing , Security , Artificial intelligence
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Nouh Elmitwally
Date Deposited:	13 Jul 2023 10:27
Last Modified:	13 Jul 2023 10:27
URI:	https://www.open-access.bcu.ac.uk/id/eprint/14394

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