Guide: Getting started with AI in logistics
The supply chain industry is booming, but many logistics functions are stuck in the past. It’s time to use AI for automation, digitization, and growth. Feel confident in your AI strategy with:
About the guide
Logistics leaders are looking to artificial intelligence to keep up with the unparalleled growth in ecommerce and add efficiency to operations. However, misguided AI strategies don’t amount to transformative, cost-effective solutions.
This guide provides logistics leaders with iterative strategies for adopting traditional and generative AI models. Key takeaways include data needed to fuel AI use cases, starting with AI in logistics today, and more.
AI in action: damage detection
Our Vision SDK uniquely combines OCR, Barcode, and QR code scanning into one, making life easy for developers and front-line workers alike.
Trained by 20M+ labels, price tags, license plates, and more, machine and deep learning algorithms correct mistakes, improve accuracy and drive efficiency across the logistics mile.
Early adopters of AI in logistics have improved
