Forecasting Demand in Supply Chain Using Machine Learning Algorithms
importance 4/10
ai assisted
Forecasting Techniques and Applications retail supply chain stage: research
Problem
Big retail stores struggle to predict customer demand for most items in multi-level supply chains.
Why it matters
Accurate demand forecasting is critical for inventory management and sales during peak seasons.
What the AI did
The study used Artificial Neural Networks trained with a second-order algorithm and Support Vector Machines for regression to forecast movie rental demand, integrating Netflix, Rotten Tomatoes, and movie data.
Results
not stated in source
Impact
The evidence supports an evaluation on public Netflix data only; no concrete accuracy figures are stated.
Record
| Venue | International Journal of Artificial Life Research |
|---|---|
| Published | 2015 |
| Work type | article |
| Authors | Nicholas Ampazis |
| Citations | 21 (OpenAlex, at import time) |
| References | 52 |
| Model or method | Artificial Neural Networks (second-order training), Support Vector Machines for regression |
| Organization | not stated in source |
| Primary source | https://doi.org/10.4018/ijalr.2015010104 |
| Open access | closed |
| Keywords | demand forecasting, supply chain, neural networks, SVM, inventory, Netflix |
Importance rating
4
real but narrower advance
Demand forecasting aids inventory management for big retail stores during peak seasons; real but narrower commercial advance, evaluated only on Netflix movie rental data.
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