Sales forecasting of a food and beverage company using deep clustering frameworks
Author:
Affiliation:
1. National Institute of Industrial Engineering, Mumbai, India
2. Indian Institute of Technology Kharagpur, Kharagpur, India
Funder
National Institute of Industrial Engineering Mumbai
Indian Institute of Technology Kharagpur
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2231098
Reference43 articles.
1. Adithya Ganesan, V., S. Divi, N. B. Moudhgalya, U. Sriharsha, and V. Vijayaraghavan. 2019. “Forecasting Food Sales in a Multiplex Using Dynamic Artificial Neural Networks.” Advances in Computer Vision 2: 69–80. https://doi.org/10.1007/978-3-030-17798-0_8
2. Integrated demand forecasting and planning model for repairable spare part: an empirical investigation
3. Prediction and Analysis of Seasonal Dynamic Metal Consumption using Aggregated LightGBM - A Case Study
4. Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness
5. A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications
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