The end goal is to operate a lean network of specialists ... you can start to see the massive logistics involved in making this type of model efficient and effective. In order to put the scale ...

In the simplest of terms, AI/ML needs decision-makers to optimize X by training the model using data ... Traditionally, a logistics routing problem is modeled as a network with nodes being source ...

Source: IHS/statista Before 2015 logistics network optimization was only possible for the largest, most sophisticated companies. Since 2015, that has changed. Supply chain logistics networks can ...

Case in point: How Algorithmic Logistics Route Optimization Helped a Pharma Company to Enhance Line Haul Network Efficiency By 3x A market leader in the preventive healthcare products segment was ...

and network optimization. "Logistics is one of the most complex, data-rich industries on Earth, and it demands AI that's purpose-built to understand it,” said Raj Subbiah, Chief Product Officer of ...