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Year 2025, Volume: 8 Issue: 1, 51 - 64, 03.07.2025
https://doi.org/10.53508/ijiam.1647096

Abstract

References

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  • M. Romilla, Jayson Matuguinas, Michael D. Santiago, Criselle Centeno, A. Antwaun, and M. Anthony. Children in-conflict chatbot system using natural language processing technique. World Journal of Advanced Research and Reviews, 18(3):425–429, 2023.
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IoT-based Conversational Solar Vending Machine

Year 2025, Volume: 8 Issue: 1, 51 - 64, 03.07.2025
https://doi.org/10.53508/ijiam.1647096

Abstract

Abstract. In vending machine retail settings, there are major challenges it encounters: lack of real-time monitoring capabilities, continuous electricity consumption, and a lack of human interaction. To address this, the researchers developed an IoT-based vending machine with solar panels and conversational AI assistance that allows real-time monitoring of stocks of the vending machine that allows the operator to manage the vending machine online and even gets notified once a certain product is almost out of stock, solar panels and voice recognition command are also implemented. By implementing these, the systems utilize a more sustainable alternative energy source as opposed to traditional energy sources and also provides a way for the customer to interact with the vending machine system. The IoT was evaluated with the ISO/IEC 25010:2023 standards, focusing on Functional Suitability, Performance Efficiency, Interaction Capability, Reliability, and Maintainability. The results show a favorable score of 4.86 in Functional Suitability, 4.86 in Performance Efficiency, 4.95 in Interaction Capability, 4.83 in Reliability, and 4.70 in Maintainability. These results show that the IoT developed for monitoring the vending machine was dependable and highly favorable. By developing an IoT-based vending machine with solar panels and conversational AI assistance, the system provided a significant advancement in automated retail settings.

References

  • Internet-of-things (IoT) in the retail industry: Consumer perceptions and key considerations for retail adoption. https://www.proquest.com/openview/0b3433cd19d8186f712b4898a88373d4/1?pq-origsite=gscholar&cbl=2046044, 2020. Accessed via ProQuest.
  • A. A. Malysheva, B. Rawat, N. Singh, P. Chandra Jena, and Kapil. Energy efficiency assessment in smart homes: A comparative study of energy efficiency tests. BIO Web of Conferences, 86:01083, 2024.
  • U. Mohan, P. Singh, K. M. Agarwal, S. K. Sharma, A. Yadav, and C. Sharma. Solar power generation, utilization and management for facilitating sustainable development in India: Review. IOP Conference Series: Materials Science and Engineering, 1168(1):012004, 2021.
  • H. H. Pourasl, Reza Vatankhah Barenji, and V. M. Khojastehnezhad. Solar energy status in the world: A comprehensive review. Energy Reports, 10:3474–3493, 2023.
  • Ashish Viswanath Prakash and S. Das. Intelligent conversational agents in mental healthcare services: A thematic analysis of user perceptions. Pacific Asia Journal of the Association for Information Systems, 12(2), 2020.
  • E. Clark. What is conversational AI? Examples and platforms, July 2, 2024. Accessed: 2025-05-24.
  • H. F. Ummah, Rini Setiati, Y. B. V. Dadi, and Marmora Titi Malinda. Solar energy as natural resource utilization in urban areas: Solar energy efficiency literature review. In IOP Conference Series: Earth and Environmental Science. IOP Publishing, May 2021.
  • M. Romilla, Jayson Matuguinas, Michael D. Santiago, Criselle Centeno, A. Antwaun, and M. Anthony. Children in-conflict chatbot system using natural language processing technique. World Journal of Advanced Research and Reviews, 18(3):425–429, 2023.
  • Ronald Rey Resabal. Chatbot learning integration: Learners’ performance enhancement tool. Psychology and Education: A Multidisciplinary Journal, 16(9):1–1, 2024.
  • R. V. Ved. Conceptualizing internet of things (IoT) model for improving customer experience in the retail industry. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3631663, June 2020. Accessed: 2025-05-24.
There are 10 citations in total.

Details

Primary Language English
Subjects Artificial Reality
Journal Section Articles
Authors

Dranoel Flore

Publication Date July 3, 2025
Submission Date February 26, 2025
Acceptance Date June 11, 2025
Published in Issue Year 2025 Volume: 8 Issue: 1

Cite

APA Flore, D. (2025). IoT-based Conversational Solar Vending Machine. International Journal of Informatics and Applied Mathematics, 8(1), 51-64. https://doi.org/10.53508/ijiam.1647096
AMA Flore D. IoT-based Conversational Solar Vending Machine. IJIAM. July 2025;8(1):51-64. doi:10.53508/ijiam.1647096
Chicago Flore, Dranoel. “IoT-Based Conversational Solar Vending Machine”. International Journal of Informatics and Applied Mathematics 8, no. 1 (July 2025): 51-64. https://doi.org/10.53508/ijiam.1647096.
EndNote Flore D (July 1, 2025) IoT-based Conversational Solar Vending Machine. International Journal of Informatics and Applied Mathematics 8 1 51–64.
IEEE D. Flore, “IoT-based Conversational Solar Vending Machine”, IJIAM, vol. 8, no. 1, pp. 51–64, 2025, doi: 10.53508/ijiam.1647096.
ISNAD Flore, Dranoel. “IoT-Based Conversational Solar Vending Machine”. International Journal of Informatics and Applied Mathematics 8/1 (July2025), 51-64. https://doi.org/10.53508/ijiam.1647096.
JAMA Flore D. IoT-based Conversational Solar Vending Machine. IJIAM. 2025;8:51–64.
MLA Flore, Dranoel. “IoT-Based Conversational Solar Vending Machine”. International Journal of Informatics and Applied Mathematics, vol. 8, no. 1, 2025, pp. 51-64, doi:10.53508/ijiam.1647096.
Vancouver Flore D. IoT-based Conversational Solar Vending Machine. IJIAM. 2025;8(1):51-64.

International Journal of Informatics and Applied Mathematics