Enhancing Food Service Sales through AI and Automation in Convenience Store Kitchens

Authors

  • Dipakkumar Kanubhai Sachani Business Analyst, Arth Energy Corporation, Pittsburgh, Pennsylvania, USA
  • Niravkumar Dhameliya Software Engineer, Therapy Brands, Birmingham, AL, USA
  • Kishore Mullangi Staff Site Reliability Engineer, Visa Inc., Austin, TX, USA
  • Sunil Kumar Reddy Anumandla Software Engineer, Appsboat Inc. Farmington Hills, MI, USA
  • Sai Charan Reddy Vennapusa Sr. Functional Analyst, Costco Wholesale, 3905 Dallas Pkwy, Plano, TX 75093, USA

DOI:

https://doi.org/10.18034/gdeb.v10i2.754

Keywords:

AI Integration, Food Service Sales, Convenience Stores, Kitchen Efficiency, Smart Technologies, Food Service Automation

Abstract

According to one study, AI and automation may boost convenience store kitchen food service sales. The primary goals were to study how AI and automation technologies boost revenue, customer satisfaction, and operational efficiency. A review used secondary data from industry reports, case studies, and academic literature. Significant findings show that AI-driven predictive analytics improve inventory management by precisely estimating demand and decreasing waste and stockouts. Automatic cooking technology maintains food quality and speed, while self-service kiosks and mobile ordering platforms personalize client experiences and ease ordering, increasing sales and repeat business. Regulators must handle data privacy concerns and help workers adjust to new technologies. By meeting changing consumer expectations and operational constraints, convenience store kitchens can achieve sustainable growth and competitive advantage with strategic AI and automation.

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References

Agrahari, A., Jhunjhunwala, S. (2012). Inventory Management Process: Problems in an Indian Convenience Store. Journal of Cases on Information Technology, 14(1), 1-14. https://doi.org/10.4018/jcit.2012010101 DOI: https://doi.org/10.4018/jcit.2012010101

Cui, L. L., Lai, H., Qi, M. J., Ge, W. Q. (2012). Design of Embedded Catering Service Terminal Based on ARM. Applied Mechanics and Materials, 263-266, 2805. https://doi.org/10.4028/www.scientific.net/AMM.263-266.2805 DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2805

Hsu, H. C., Lo, R. C. (2013). Integrated Wireless Value-Added Kitchen Appliances Based on ZigBee Link Technology for Eco Smart Home. Applied Mechanics and Materials, 418, 250. https://doi.org/10.4028/www.scientific.net/AMM.418.250 DOI: https://doi.org/10.4028/www.scientific.net/AMM.418.250

Kaur, I. (2010). Microcontroller-Based Home Automation System with Security. International Journal of Advanced Computer Science and Applications, 1(6). https://doi.org/10.14569/IJACSA.2010.010610 DOI: https://doi.org/10.14569/IJACSA.2010.010610

Levine, K., Yavelak, M., Luchansky, J. B., Porto-Fett, A. C. S., Chapman, B. (2017). Consumer Perceptions of the Safety of Ready-to-Eat Foods in Retail Food Store Settings. Journal of Food Protection, 80(8), 1364-1377. https://doi.org/10.4315/0362-028X.JFP-16-417 DOI: https://doi.org/10.4315/0362-028X.JFP-16-417

Ma, W-T., Yan, W-X., Fu, Z., Zhao, Y-Z. (2011). A Chinese Cooking Robot for Elderly and Disabled People. Robotica, 29(6), 843-852. https://doi.org/10.1017/S0263574711000051 DOI: https://doi.org/10.1017/S0263574711000051

Rodgers, S. (2008). Technological Innovation Supporting Different Food Production Philosophies in the Food Service Sectors. International Journal of Contemporary Hospitality Management, 20(1), 19-34. https://doi.org/10.1108/09596110810848541 DOI: https://doi.org/10.1108/09596110810848541

Shimmura, T., Takenaka, T., Akamatsu, M. (2010). Improvement of Restaurant Operation by Sharing Order and Customer Information. International Journal of Organizational and Collective Intelligence, 1(3), 54-70. https://doi.org/10.4018/joci.2010070104 DOI: https://doi.org/10.4018/joci.2010070104

Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129

Dhameliya, N., Mullangi, K., Shajahan, M. A., Sandu, A. K., & Khair, M. A. (2020). Blockchain-Integrated HR Analytics for Improved Employee Management. ABC Journal of Advanced Research, 9(2), 127-140. https://doi.org/10.18034/abcjar.v9i2.738 DOI: https://doi.org/10.18034/abcjar.v9i2.738

Dhameliya, N., Sai Sirisha Maddula, Kishore Mullangi, & Bhavik Patel. (2021). Neural Networks for Autonomous Drone Navigation in Urban Environments. Technology & Management Review, 6, 20-35. https://upright.pub/index.php/tmr/article/view/141

Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703 DOI: https://doi.org/10.18034/ei.v6i2.703

Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86 DOI: https://doi.org/10.18034/ajase.v8i1.86

Mohammed, R., Addimulam, S., Mohammed, M. A., Karanam, R. K., Maddula, S. S., Pasam, P., & Natakam, V. M. (2017). Optimizing Web Performance: Front End Development Strategies for the Aviation Sector. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 38-45. https://upright.pub/index.php/ijrstp/article/view/142

Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89

Mullangi, K., Anumandla, S. K. R., Maddula, S. S., Vennapusa, S. C. R., & Mohammed, M. A. (2018). Accelerated Testing Methods for Ensuring Secure and Efficient Payment Processing Systems. ABC Research Alert, 6(3), 202–213. https://doi.org/10.18034/ra.v6i3.662 DOI: https://doi.org/10.18034/ra.v6i3.662

Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704 DOI: https://doi.org/10.18034/abr.v8i3.704

Mullangi, K., Yarlagadda, V. K., Dhameliya, N., & Rodriguez, M. (2018). Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 42-52. https://upright.pub/index.php/ijrstp/article/view/134

Nizamuddin, M., Natakam, V. M., Sachani, D. K., Vennapusa, S. C. R., Addimulam, S., & Mullangi, K. (2019). The Paradox of Retail Automation: How Self-Checkout Convenience Contrasts with Loyalty to Human Cashiers. Asian Journal of Humanity, Art and Literature, 6(2), 219-232. https://doi.org/10.18034/ajhal.v6i2.751 DOI: https://doi.org/10.18034/ajhal.v6i2.751

Rodriguez, M., Shajahan, M. A., Sandu, A. K., Maddula, S. S., & Mullangi, K. (2021). Emergence of Reciprocal Symmetry in String Theory: Towards a Unified Framework of Fundamental Forces. International Journal of Reciprocal Symmetry and Theoretical Physics, 8, 33-40. https://upright.pub/index.php/ijrstp/article/view/136

Sachani, D. K. (2018). Technological Advancements in Retail Kiosks: Enhancing Operational Efficiency and Consumer Engagement. American Journal of Trade and Policy, 5(3), 161–168. https://doi.org/10.18034/ajtp.v5i3.714 DOI: https://doi.org/10.18034/ajtp.v5i3.714

Sachani, D. K. (2020). Assessing the Impact of Brand Loyalty on Tobacco Purchasing Decisions and Spending Patterns. ABC Research Alert, 8(3), 147–159. https://doi.org/10.18034/ra.v8i3.661 DOI: https://doi.org/10.18034/ra.v8i3.661

Sachani, D. K., & Vennapusa, S. C. R. (2017). Destination Marketing Strategies: Promoting Southeast Asia as a Premier Tourism Hub. ABC Journal of Advanced Research, 6(2), 127-138. https://doi.org/10.18034/abcjar.v6i2.746 DOI: https://doi.org/10.18034/abcjar.v6i2.746

Shajahan, M. A., Richardson, N., Dhameliya, N., Patel, B., Anumandla, S. K. R., & Yarlagadda, V. K. (2019). AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development. Engineering International, 7(2), 161–178. https://doi.org/10.18034/ei.v7i2.711 DOI: https://doi.org/10.18034/ei.v7i2.711

Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659 DOI: https://doi.org/10.18034/ra.v5i3.659

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Published

2021-12-31

Issue

Vol. 10 No. 2 (2021): July - December Issue

Section

Articles

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Copyright (c) 2021 Dipakkumar Kanubhai Sachani, Niravkumar Dhameliya, Kishore Mullangi, Sunil Kumar Reddy Anumandla, Sai Charan Reddy Vennapusa

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How to Cite

Sachani, D. K., Dhameliya, N., Mullangi, K., Anumandla, S. K. R., & Vennapusa, S. C. R. (2021). Enhancing Food Service Sales through AI and Automation in Convenience Store Kitchens. Global Disclosure of Economics and Business, 10(2), 105-116. https://doi.org/10.18034/gdeb.v10i2.754
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