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About Social Media Data Analytics To Improve Supply Chain Management in Food Industries
This document discusses using social media data analytics to improve supply chain management in the food industry. It proposes analyzing Twitter data using text analysis and clustering to identify supply chain issues mentioned by customers. As a case study, it analyzes three weeks of Twitter data related to beef supply chains to identify customer complaints. The identified issues are then linked to different parts of the supply chain to make recommendations for improving customer satisfaction and a more efficient consumer-centric supply chain.
Detailed Information
| Author: | ['Xuan Vy Pham'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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