Many organizations have been caught out by supplier problems, from material shortages to poor labor practices or criminal investigations. Missing from those organizations’ risk management and business continuity planning processes was an effective supplier monitoring strategy: means to find, evaluate and act upon the available information before problems spiraled. DHL Supply Watch fills that gap.
Resilience360 Supply Watch uses advanced Machine Learning (ML) and Natural Language Processing (NLP) technologies to analyze diverse data sources for tell-tale indicators of potential supplier problems. Unlike conventional search approaches, Supply Watch understands how people talk about risk-relevant events and situations. The system’s ML and NLP algorithms have been developed by leading linguistics experts and data scientists to identify both the content and the context of online discussion in multiple languages.
And unlike conventional financial risk analysis tools, which may take weeks or months to identify relevant events, Supply Watch operates in near-real time, 24 hours a day, seven days a week. The system monitors up to 8 million posts every day from more than 300,000 online and social media sources. That’s around 80 percent of the world’s publicly available data.
Using Supply Watch is simple. Provide the system with details of the names of your suppliers and it does the rest, automatically identifying relevant information, generating alerts and tracking the development of issues over time.
Because Supply Watch is fully integrated into the rest of the Resilience360 supply chain risk management platform, users can populate the system with information extracted from their existing Resilience360 supply network models, or use the Resilience360 Transparency Portal to identify multi-tier suppliers and collect critical information on business continuity plans.