How AI Improves Supply Chain Risk Management
Tonnis de Boer2026-06-19T09:05:12+02:00AI can make supply chain risk management smarter by spotting critical items, hidden supplier exposure, and real-world disruptions before they hit your operations.
AI can make supply chain risk management smarter by spotting critical items, hidden supplier exposure, and real-world disruptions before they hit your operations.
Every procurement team has order data. Confirmation dates. Delivery promises. Supplier response times. Historical patterns.The problem is where it lives. Confirmations in email. Delivery dates in the ERP. Supplier updates in WhatsApp. Price agreements in a shared drive somewhere.When everything is scattered, nobody has the full picture. So the default is chasing. Calling the supplier [...]
Ridder partners with Tradecloud One to make procurement largely zero-touch, shifting from manual order management to real-time supply chain control. With dashboards and AI, Ridder boosts visibility, reduces disruptions, and keeps production running smoothly.
The Business Problem In this business case, AI workflow automation will be exemplified using the example of a TradeCloud client. The client is a manufacturer of machines for the sorting of eggs and is based in the Netherlands. The company has more than 200 suppliers for its components, which means putting a lot [...]
The Business Problem The manufacturing process of memory chips involves around 1,500 steps that need to be performed in sterile conditions to avoid specks of dust from damaging the wafers. However, damages occur nonetheless. The quality issues that arise, scratches, holes etc., are often microscopic and near-invisible to the human eye! The manufacturing [...]
The Business Problem In the world of logistics, empty fleet management cannot be overlooked. For container shipping, the Boston Consulting Group estimates that up to 8% of a shipping line's operating costs relate to the repositioning of empty containers - without the associated costs of empty container storage and maintenance (BCG, 2015). The [...]
The Business Problem A major challenge for manufacturing companies is to know what, when, where and how much stock should be ordered and kept. SME’s traditionally calculate this manually using Excel, Google Sheets or other software solutions. These solutions can be automated to an extent and are fairly adequate in most cases. However, [...]
The Business Problem One of the biggest challenges for business executives today is demand volatility in relation to demand forecasting. Whereas data availability continues to increase, customer purchase patterns are becoming increasingly complex, and therefore harder to detect or predict (Symphony Retail, n.d.). There are too many factors influencing demand, ranging from weather fluctuations [...]
Artificial intelligence (AI) is one of the most hyped-up topics in business right now. Gartner has included a number of AI applications in their 2018 Hype Cycle for most important emerging technologies. To take matters further, Google’s CEO Sundar Pichai recently said he expects AI to become more important for humanity than even fire or [...]