The untapped potential of AI, in Logistics
Qasim Noor Ellahi
Unit Head Wahousing & Logistics Planning & Excellence at Interloop Limited
The study identified gaps that companies are coming up short in two business focus areas: artificial intelligence (AI), and a lack of meaningful progress on supply chain visibility.
On the tech side, organizations utilize basic data analytics in their operations, and less than 25% organizations leverage AI capabilities. The findings underscore that data analytics supported by machine learning and can help with tasks such as optimizing fleet routing, predictive maintenance, and streamlining processes for strategic decision-making. The study found that, for most firms, cost is the main barrier to implementing AI and other technologies, followed by “potential disruption to existing services,” and a “lack of internal expertise.”
Organizations are making “some progress toward achieving real-time supply chain visibility, but still they are falling short of their goals. The respondents said that ocean freight is the mode of transportation providing the least amount of real-time visibility while truck operations have the highest amount of real-time visibility in their supply chains.