Singh, Ashish K and Simha, J B and Agarwal, Rashmi (2024) Prediction of Intermittent Demand Occurrence using Machine Learning. EAI Endorsed Transactions on Internet of Things.
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Abstract
Demand forecasting plays a pivotal role in modern Supply Chain Management (SCM). It is an essential part of inventory planning and management and can be challenging at times. One of the major issues being faced in demand forecasting is insufficient forecast accuracy to predict the expected demand an
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:15 |
| Last Modified: | 11 Apr 2026 00:12 |
| URI: | http://eprints.eai.eu/id/eprint/51761 |
