Len DeCandia

Your TMS and ERP aren’t enough. Despite billions spent on supply chain tech, most teams still run on PDFs, spreadsheets, and email threads—creating manual chaos that slows everything down. This eye-opening white paper reveals how top supply chain teams are using an invisible layer of AI to streamline operations—no dashboards, no extra headcount, no noise.   Download now to learn how to eliminate manual bottlenecks and give logistics teams their time—and sanity—back. Uncover the hidden gems – Manual workflows waste hours and create delays. Learn how to fix it fast. See real results – Cut shipment intake from 30 minutes to 10 seconds, without new tools or extra headcount. Discover smart automation – Learn how to turn messy emails and PDFs into structured data that flows seamlessly into your systems.   Ditch manual chaos and see how an ambient back office that never sleeps can save your team thousands of hours, eliminate costly errors, and unlock the true potential of your supply chain.   Download the white paper here to learn more  

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…