Supply chain leaders are under more pressure than ever to lower costs, expand margins, and balance growth and profitability — all while facing skilled labor shortages and rising materials and logistics costs.
The Administration said these principles should be considered during the whole lifecycle of AI – from design to development, testing, training, deployment and use, oversight, and auditing.
Gina Chung, vice president corporate development with Locus Robotics, traces the progress of artificial intelligence in the warehouse, and the ever-broadening scope of functions that it's driving today.
Inventory distortion isn't just a problem for supply chain teams; it results in missed sales, dissatisfied customers, excess wastage and capital tied up in stocks.
Artificial intelligence can aid in the primary goal of warehouse management: to get the right inventory as close to the end-consumer as possible, says Corey Calla, president and CEO of SencorpWhite.
While supply chain automation often begins in the warehouse, it can extend beyond to transportation management, fulfillment and returns, and even customer-facing locations.
The latest news, analysis, trends and solutions for artificial intelligence (AI) and its impact on supply chain management. New AI technologies are transforming the way companies do business — and allowing them to stay ahead of the competition in their industries. As these solutions continue to evolve, businesses are discovering new ways to increase efficiency and cut costs. Learn how companies around the world are improving operations through their strategic use of AI and machine learning technologies for supply chain management.
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