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Enhancing Customer Service in Shopping Malls with an Advanced Chatbot-Integrated Concierge Device

Author

Listed:
  • Michal Maj
  • Artur Dmowski
  • Ryszard Nowak
  • Tadeusz Medzelowski
  • Tomasz Cieplak

Abstract

Purpose: The primary objective of this study is to enhance customer service in shopping malls by introducing an innovative solution: a Concierge device equipped with an advanced chatbot assistant. The aim is to simplify mall navigation for customers by offering information on store locations, services, promotions, and events. Design/Methodology/Approach: The Concierge device features a monitor displaying an interactive mall map that users can navigate to find store details, locations, and opening hours. A chatbot integrated with the device provides a personalized shopping experience, recognizing customers via onboard cameras and adjusting interactions based on their emotions. The device also visualizes routes to stores and highlights promotions along the way. Key services such as toilets and ATMs are easily located through the device, which uses the chatbot to suggest nearby points. Findings: Preliminary research indicates that this advanced assistant enhances the customer shopping experience by providing tailored information and seamless navigation. The device effectively routes users to destinations while promoting additional services and events, ultimately improving shopping mall service efficiency. Practical Implications: Implementing this Concierge device in shopping malls can significantly improve customer satisfaction by providing accurate, real-time information and personalized guidance. Retailers and service providers can expect increased customer engagement and better promotion of their products and services through this system. Originality/Value: This solution integrates state-of-the-art emotion recognition and chatbot technology with interactive maps, offering a unique and innovative approach to shopping mall navigation. By providing personalized service and improving customer engagement, it adds significant value to the current shopping mall customer service landscape.

Suggested Citation

  • Michal Maj & Artur Dmowski & Ryszard Nowak & Tadeusz Medzelowski & Tomasz Cieplak, 2024. "Enhancing Customer Service in Shopping Malls with an Advanced Chatbot-Integrated Concierge Device," European Research Studies Journal, European Research Studies Journal, vol. 0(Special A), pages 169-178.
  • Handle: RePEc:ers:journl:v:xxvii:y:2024:i:speciala:p:169-178
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    References listed on IDEAS

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    1. Luciana Lazzeretti & Rafael Boix Domenech & Jose-Luis Hervas-Oliver & Niccolò Innocenti, 2023. "Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters," European Planning Studies, Taylor & Francis Journals, vol. 31(7), pages 1297-1303, July.
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      More about this item

      Keywords

      Concierge Assistance; Customization; Training Requirements; System Integration; Customer Service Protocols; Device Operation.;
      All these keywords.

      JEL classification:

      • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
      • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
      • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
      • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
      • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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