Leveraging Technological Innovations in Cloud Kitchens: A Case Study on Enhancing Customer Retention

Main Article Content

Surjadeep Dutta
Abhinab Mondal
Anindita Sinha

Abstract

The global food service industry has been impacted by the explosive growth of cloud kitchens—food production facilities focused solely on delivery. The purpose of this research, entitled "Leveraging Technology Innovations in Cloud Kitchens to Support Growing Customer Loyalty through Case-Based Approaches," is to explore how new technologies such as Artificial Intelligence (AI), IoT and Data Analytics, Automated Customer Relationship Management (CRM) systems, Support Sustainability-Growth of Associated Businesses and Consumer Loyalty through Case-Based Analysis. The research utilizes a mixed-method approach (face-to-face interviews combined with quantitative survey data) to analyze and understand how predictive analytics improve the demand forecasting process, how automation can increased the operational efficiencies of businesses as well as how Personalized Algorithms can expand Customer Engagement with the Brand. Overall, this study found that the strategic implementation of these new technological innovations within Cloud Kitchens positively impacts creating a satisfied and re-purchasing clientele through providing enhanced customer services and creating a more ideal digital shopping experience for Clients. The study concludes with the proposal of a general framework for the technology-related growth of customer retention in Cloud-Based Food Enterprises.

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How to Cite

Dutta, S., Abhinab Mondal, & Anindita Sinha. (2026). Leveraging Technological Innovations in Cloud Kitchens: A Case Study on Enhancing Customer Retention. Qubahan Techno Journal, 5(1), 17-24. https://doi.org/10.48161/qtj.v5n1a79

References

. Patrick, H. A., & Nepoleon, M. P. (2025). Consumer Behavior Towards Cloud Kitchens. In Research for Growth, Innovation and Sustainability. Taylor & Francis.

. Paul, N. I. J., Sajnani, M., & Sharma, K. (2025). Consumer Behaviour and the Future of the Food Industry: Exploring Multi-Brand Cloud Kitchen. International Conference on Innovation and Research in Technology and Hospitality Industry (IRTTHI 2025). Atlantis Press. DOI: https://doi.org/10.2991/978-94-6463-799-1_24

. Paull, N. I. J., & Sajnani, D. M. (2025). Food Industry Exploring Multi-Brand Cloud Ecosystem. Proceedings of the International Conference on Innovation. Google Books.

. Rahman, M. A., Akter, S., & Ashrafi, T. (2025). The Hidden Keys to Customer Satisfaction in the Booming Cloud Kitchen Industry of Bangladesh. Revista Cuantitativos para la Economía y la Empresa. Econstor. DOI: https://doi.org/10.46661/rev.metodoscuant.econ.empresa.10517

. Shelaik, Y. (2025). Unveiling the Cloud Kitchen Revolution: Adapting to COVID-19 Challenges and Transforming the Food Industry. Scientia: Technology, Science and Society, 12(2), 44–59. DOI: https://doi.org/10.59324/stss.2025.2(11).15

. Zhang, D. (2024). Digital Transformation and Operational Optimization in Cloud Kitchens. ResearchGate.

. Telaumbanua, B. B., & Wiriasubranta, F. (2023). Transforming Consumer Behavior Through Cloud Kitchen and Digitalization: Boosting MSMEs Sustainability in the F&B Sector. Business Review and Case Studies Journal. DOI: https://doi.org/10.17358/brcs.4.3.313

. Sultana, M. F., Nikhat, R., & Ahmed, B. (2025). Feeding the Future: Trust, Technology, and Sustainability in Cloud Kitchens. International Journal of Hospitality Innovation. DOI: https://doi.org/10.34218/IJM_16_03_011

. Dey, S. (2025). Data Privacy and Security in AI-Driven Ghost Kitchens. Impact of AI and the Evolution of Future Ghost Kitchens. IGI Global. DOI: https://doi.org/10.4018/979-8-3373-0432-8.ch003

. Prodhan, M. A. N. (2024). The Future of Restaurant Marketing in Bangladesh: An Analysis of Consumer Attitudes Toward Techno-Marketing.

. Pookulangara, S., Wen, H., & Bharath, J. (2023). Consumer Attitudes Toward Ordering from Cloud Kitchens: A Gender and Marital Status Perspective. International Journal of Contemporary Hospitality Management. Emerald. DOI: https://doi.org/10.1108/IJCHM-03-2022-0310

. Chourasia, S., Kaur, S., & Singh, A. (2025). The Future of Indian Restaurants: The Role of Technology in the Success of Cloud Kitchens. Impact of AI and the Evolution of Future Ghost Kitchens. IGI Global. DOI: https://doi.org/10.4018/979-8-3373-0432-8.ch002

. N. Rustamova, R. Rajab Asaad, and D. Fayzieva, “Blockchain-Driven Security Models for Privacy Preservation in IoT-Based Smart Cities,” Qubahan Techno Journal, pp. 1–17, Dec. 2023, doi: 10.48161/qtj.v2n4a22. DOI: https://doi.org/10.48161/qtj.v2n4a22

. Ç. Sıcakyüz, R. Rajab Asaad, S. Almufti, and N. R. Rustamova, “Adaptive Deep Learning Architectures for Real-Time Data Streams in Edge Computing Environments,” Qubahan Techno Journal, vol. 3, no. 2, pp. 1–14, Jun. 2024, doi: 10.48161/qtj.v3n2a25.

. Ç. Sıcakyüz, R. Rajab Asaad, S. Almufti, and N. R. Rustamova, “Adaptive Deep Learning Architectures for Real-Time Data Streams in Edge Computing Environments,” Qubahan Techno Journal, vol. 3, no. 2, pp. 1–14, Jun. 2024, doi: 10.48161/qtj.v3n2a25. DOI: https://doi.org/10.48161/qtj.v3n2a25

. S. M. Almufti, R. B. Marqas, R. R. Asaad, and A. A. Shaban, “Cuckoo search algorithm: overview, modifications, and applications,” 2025. [Online]. Available: www.sciencepubco.com/index.php/IJSW DOI: https://doi.org/10.14419/efkvvd44

. R. R. Asaad, A. A. Hani, A. B. Sallow, S. M. Abdulrahman, H. B. Ahmad, and R. M. Subhi, “A Development of Edge Computing Method in Integration with IOT System for Optimizing and to Produce Energy Efficiency System,” in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024, 2024. doi: 10.1109/ICACITE60783.2024.10617436. DOI: https://doi.org/10.1109/ICACITE60783.2024.10617436

. S. M. Almufti et al., “INTELLIGENT HOME IOT DEVICES: AN EXPLORATION OF MACHINE LEARNING-BASED NETWORKED TRAFFIC INVESTIGATION,” Jurnal Ilmiah Ilmu Terapan Universitas Jambi, vol. 8, no. 1, pp. 1–10, May 2024, doi: 10.22437/jiituj.v8i1.32767. DOI: https://doi.org/10.22437/jiituj.v8i1.32767

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