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This repository provides metadata of IIMB Publications and aimed at creating and preserving an archive of Institution scholarship. IIMB Publications include Articles, Working Papers (FULL TEXT), Book Chapters published by Faculty, Doctoral Dissertations by FPM Scholars and Project reports of Students enrolled in various courses of IIMB.
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https://repository.iimb.ac.in/handle/2074/21908| Title: | Inventory management at Ford using AI/ML techniques considering demand forecasting | Authors: | Bhowmick, Anandarup Roy, Urjaa |
Keywords: | Inventory management;Automobile industry;AI/ML techniques;Demand forecasting;Lead times;AI | Issue Date: | 2022 | Publisher: | Indian Institute of Management Bangalore | Series/Report no.: | PGP_CCS_P22_034 | Abstract: | Demand Forecasting: AI enables organizations to optimize product availability by decreasing out of stocks and spoilage. AI can also help with getting a better understanding of sales patterns. Inventory Management: AI can be used to get a better understanding of inventory levels enabling organizations to plan ahead and avoid stock-outs. | URI: | https://repository.iimb.ac.in/handle/2074/21908 |
| Appears in Collections: | 2022 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| PGP_CCS_P22_034.pdf | 1.88 MB | Adobe PDF | View/Open Request a copy |
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