The future of smart warehousing: Scope of integrated AI-powered real-time data tracking and robotics for optimizing complex operations
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866901690688471040 |
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| author | Abu Sied |
| author_facet | Abu Sied |
| contents | <p>Supply chain management (SCM) is being revolutionized by smart warehousing, which combines modern technologies, equipment's, robotics and artificial intelligence (AI). Processing orders delays, excessive expenses and bottlenecks challenge traditional warehousing procedures. Realtime jobs which are driven by AI, augments decision-making process with real-time data monitoring, automates stock replenishment and improves forecasting. By integrating automating material handling, picking and packaging, robotics will further simplify the processes while minimizing the possibilities of errors and operating expenses. This study examines how robotics and artificial intelligence might work together to maximize warehouse productivity. Predictive<br>analytics, automated robotic process automation (RPA) and machine learning for demand forecasting hold due importance in development. But there are still a lot of obstacles to overcome, like high implementation costs, cybersecurity issues and worker's ability to adapt.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15715915 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The future of smart warehousing: Scope of integrated AI-powered real-time data tracking and robotics for optimizing complex operations Abu Sied AI Artificial Intelligence Supply Chain Efficiency Supply Chain Management Warehousing Robotics Modern Technology Forecasting <p>Supply chain management (SCM) is being revolutionized by smart warehousing, which combines modern technologies, equipment's, robotics and artificial intelligence (AI). Processing orders delays, excessive expenses and bottlenecks challenge traditional warehousing procedures. Realtime jobs which are driven by AI, augments decision-making process with real-time data monitoring, automates stock replenishment and improves forecasting. By integrating automating material handling, picking and packaging, robotics will further simplify the processes while minimizing the possibilities of errors and operating expenses. This study examines how robotics and artificial intelligence might work together to maximize warehouse productivity. Predictive<br>analytics, automated robotic process automation (RPA) and machine learning for demand forecasting hold due importance in development. But there are still a lot of obstacles to overcome, like high implementation costs, cybersecurity issues and worker's ability to adapt.</p> |
| title | The future of smart warehousing: Scope of integrated AI-powered real-time data tracking and robotics for optimizing complex operations |
| topic | AI Artificial Intelligence Supply Chain Efficiency Supply Chain Management Warehousing Robotics Modern Technology Forecasting |
| url | https://doi.org/10.5281/zenodo.15715915 |