Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/21908
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Jain, Tarun | |
dc.contributor.author | Bhowmick, Anandarup | |
dc.contributor.author | Roy, Urjaa | |
dc.date.accessioned | 2023-05-17T14:57:20Z | - |
dc.date.available | 2023-05-17T14:57:20Z | - |
dc.date.issued | 2022 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/21908 | - |
dc.description.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. | |
dc.publisher | Indian Institute of Management Bangalore | |
dc.relation.ispartofseries | PGP_CCS_P22_034 | |
dc.subject | Inventory management | |
dc.subject | Automobile industry | |
dc.subject | AI/ML techniques | |
dc.subject | Demand forecasting | |
dc.subject | Lead times | |
dc.subject | AI | |
dc.title | Inventory management at Ford using AI/ML techniques considering demand forecasting | |
dc.type | CCS Project Report-PGP | |
dc.pages | 18p. | |
Appears in Collections: | 2022 |
Files in This Item:
File | Size | Format | |
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PGP_CCS_P22_034.pdf | 1.88 MB | Adobe PDF | View/Open Request a copy |
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