Augmented Intelligence for Logistics Planning

Augmented Intelligence for Logistics

This article is based on the presentation by Asparuh Koev, Founder and CEO at Transmetrics, at the “Logistics meets Innovation” conference. The topic of the conference was “AI in Logistics: from Theory to Practice” and you can read the full overview of the event here: “AI in Logistics: from Theory to Practice” – Transmetrics’ Conference Summary.

Artificial Intelligence (AI) is already a widespread term in logistics, thanks to the implementation of exciting AI technologies like automated warehouses by Amazon, autonomous trucks by Einride, drone deliveries by Zipline, last-mile delivery robots by Starship, and more. These are the types of technologies that can potentially replace some manual jobs that don’t require complex skills (e.g. warehouse sorting, last-mile delivery person, truck driver, etc.).

However, the situation is different when Artificial Intelligence is used to deal with high-skilled positions like logistics planners. That’s where Augmented Intelligence enters the scene. By combining human intelligence with processes automated by AI, companies can save time, reduce operating expenses, and eliminate manual errors, while human employees can focus more on analytical and complex duties. In this article, we will uncover what exactly Augmented Intelligence is and how it can enhance logistics planning capabilities.

“AI in Logistics: from Theory to Practice” – Transmetrics’ Conference Summary

“AI in Logistics: from Theory to Practice” – Transmetrics’ Conference Summary

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