limitedDistribution · Industry Research
A Systematic Review of Machine Learning and Big Data ...
This article reviews the integration of machine learning and big data in logistics and supply chain management, focusing on sustainable practices. It highlights the potential of AI to transform unstructured data into actionable insights, enhancing efficiency and sustainability in logistics operations.

Stargo's Stardox platform transforms unstructured data into actionable insights, enhancing sustainability in supply chain management.
Executive Summary
The systematic review explores the role of machine learning and big data in logistics and supply chain management, emphasizing sustainable management practices. It discusses how AI technologies can process unstructured data to improve decision-making and operational efficiency. The review suggests that leveraging AI can lead to significant advancements in sustainability by optimizing resource use and reducing waste in logistics processes.
Source: www.mdpi.com
Original Article: https://www.mdpi.com/2073-4395/16/5/516
See ROI in 12 weeks
Stargo users see measurable return and operational profitability gains in just 12 weeks, with non-disruptive implementation in 4 weeks or less.