DHL: Machine learning to mitigate supplier risks
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DHL introduced a new integral part of its Resilience360 supply chain risk management platform called DHL Supply Watch. The extension of DHL’s early warning system uses machine learning and natural language processing to detect disruptions in a company’s supply base before they cause financial losses or long lasting reputational damage.
With Supply Watch, DHL Resilience360 is adding a broad range of new risk categories to the system’s existing portfolio to monitor supplier risks on a company level, including financial indicators, mergers & acquisition, environmental damages, supply shortages, quality issues and labor disputes, using publically available data found by monitoring of online and social media sources.
Questions & Answers
Q.What is the primary function of DHL Supply Watch?
What is the primary function of DHL Supply Watch?
DHL Supply Watch is an extension of DHL's early warning system, using machine learning and natural language processing. Its main purpose is to detect potential disruptions within a company's supply base, aiming to prevent financial losses or long-term reputational damage.
Q.What new types of risks can DHL Supply Watch monitor?
What new types of risks can DHL Supply Watch monitor?
The system adds new categories to its existing portfolio, monitoring supplier risks at a company level. These include financial indicators, mergers and acquisitions, environmental damages, supply shortages, quality issues, and labour disputes.
Q.What kind of data does DHL Supply Watch use to identify risks?
What kind of data does DHL Supply Watch use to identify risks?
DHL Supply Watch utilises publicly available data for its analysis. This information is gathered through the monitoring of various online and social media sources to identify potential supplier-related risks and disruptions.
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