| _version_ | 1866901047934451712 |
|---|---|
| author | Ayush sharma |
| author_facet | Ayush sharma |
| contents | <p><span>This study explores the application of intelligent systems in inventory optimization to address modern supply chain challenges. Focusing on industries like retail and manufacturing, it evaluates how AI-powered tools enhance accuracy, reduce costs, and improve customer satisfaction by comparing traditional systems to AI-integrated ones.</span></p> <p><span>Through a case study on Safe Mart, this project illustrates measurable performance gains such as reduced stockouts, improved forecast accuracy, and lower holding costs. Emerging technologies including blockchain and digital twins are also discussed to highlight future possibilities.</span></p> <p><span>The report advocates a systematic adoption strategy, emphasizing infrastructure, training, and cross-functional collaboration to achieve effective implementation.</span></p> <div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15698703 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | : Intelligent Inventory Management: A New Era in Supply Chain Optimization Ayush sharma AI, Inventory Management, Supply Chain, Forecasting, Business Analytics <p><span>This study explores the application of intelligent systems in inventory optimization to address modern supply chain challenges. Focusing on industries like retail and manufacturing, it evaluates how AI-powered tools enhance accuracy, reduce costs, and improve customer satisfaction by comparing traditional systems to AI-integrated ones.</span></p> <p><span>Through a case study on Safe Mart, this project illustrates measurable performance gains such as reduced stockouts, improved forecast accuracy, and lower holding costs. Emerging technologies including blockchain and digital twins are also discussed to highlight future possibilities.</span></p> <p><span>The report advocates a systematic adoption strategy, emphasizing infrastructure, training, and cross-functional collaboration to achieve effective implementation.</span></p> <div> </div> |
| title | : Intelligent Inventory Management: A New Era in Supply Chain Optimization |
| topic | AI, Inventory Management, Supply Chain, Forecasting, Business Analytics |
| url | https://doi.org/10.5281/zenodo.15698703 |