Sarah Barnes-Humphrey, CITP

Turn data into insight – map, monitor, and mitigate fortced labor risks across your value chain. Since the Uyghur Forced Labor Prevention Act (UFLPA) went into effect in 2022, sub-tier supply chain visibility has become an increasingly critical and ubiquitous prerequisite for import compliance. Automotive companies, due in no small part to their highly complex supply chains, are among the hardest hit by this requirement of anti-forced labor and ESG regulations. A recent study by Sayari analysts found that 95% of leading OEMs’ exposure to forced labor risk comes from sub-tier suppliers. The ability to identify and mitigate risks throughout their value chains is critical for OEMs aiming to minimize operational disruptions, avoid detentions, and maintain competitive advantage. Download the report to learn how Sayari is overcoming barriers to supply chain visibility, enabling OEMs to map their sub-tier supply chains, identify indirect exposure to forced labor risk, and foster greater supply chain resilience in an increasingly dynamic trade landscape. DOWNLOAD NOW

Special Guest Blog Post from Amazon Freight   For supply chains across the globe, goods in motion are promises in motion. When a palletised shipment is delayed or goes dark, the impact is felt not just in transport teams, but in customer service, inventory planning, and broader network performance. In a conversation, economist Dr. Rebecca Harding and Chris Roe, Managing Director of Amazon Freight, explored how technology and collaboration are changing the way freight networks operate. While their primary focus was freight, their insights map directly onto the resilience challenges supply chain leaders face every day.   Old pressures, new data In a study supported by Amazon Freight, every shipper surveyed agreed that technology is crucial to the freight industry’s resilience. While this isn’t a surprise, it’s an important reminder of the role that technology plays. Roe shared a key example where Amazon Freight connected a customer’s system to its own system. Visibility on the end-to-end movement went from essentially zero to a high level of coverage. Instead of discovering problems only when a shipment failed to arrive, the customer could now see disruptions as they emerged and act earlier. For supply chain teams, that move from partial, delayed information…