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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2504.13976 |
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| _version_ | 1866909584465068032 |
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| author | Talukdar, Wrick |
| author_facet | Talukdar, Wrick |
| contents | The gas station of the future is poised to transform from a simple fuel dispensing center into an intelligent retail hub, driven by advancements in Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). This paper explores how technology is reshaping the retail downstream sector while briefly addressing the upstream and midstream segments. By leveraging AI/ML for predictive analytics, dynamic pricing, personalized customer engagement, and IoT for real-time monitoring and automation, the future gas station will redefine the fuel retail experience. Additionally, this paper incorporates statistics, AI/ML core technical concepts, mathematical formulations, case studies, and a proposed framework for a fully autonomous gas station. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13976 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Gas Station of the Future: A Perspective on AI/ML and IoT in Retail Downstream Talukdar, Wrick Computers and Society Artificial Intelligence The gas station of the future is poised to transform from a simple fuel dispensing center into an intelligent retail hub, driven by advancements in Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). This paper explores how technology is reshaping the retail downstream sector while briefly addressing the upstream and midstream segments. By leveraging AI/ML for predictive analytics, dynamic pricing, personalized customer engagement, and IoT for real-time monitoring and automation, the future gas station will redefine the fuel retail experience. Additionally, this paper incorporates statistics, AI/ML core technical concepts, mathematical formulations, case studies, and a proposed framework for a fully autonomous gas station. |
| title | Gas Station of the Future: A Perspective on AI/ML and IoT in Retail Downstream |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2504.13976 |