Artificial intelligence (AI) is playing a larger role in businesses of all types. Companies are deploying different types of AI (e.g., machine learning and deep neural networks) across a wide variety of applications, including logistics. In fact, a recent McKinsey Global Institute report indicates that AI could produce up to $2 trillion in additional value in supply chain management and manufacturing.

That huge potential for increased value was the impetus behind a recent report on AI in logistics from IBM and DHL.

The report outlines opportunities for AI in the logistics industry, enabled by adoption and advancements in the consumer space that have made voice assistant applications, for example, so common. Those advancements are already having an impact in manufacturing, where machine learning is streamlining production and maintenance processes. AI is also at the heart of how new autonomous cars can operate safely.

In logistics, AI will be part of the shift from reactive business to proactive operations. Some of this has already played out in the forecasting space, where AI and big data analytics are creating more accurate and predictive demand forecasts. The IBM/DHL report highlights four key application areas where AI, machine learning and other technologies will have the biggest impact in logistics.

Read on at https://www.opex.com/blog/post/ai-hits-the-road-in-logistics