Logistics and Supply Chain in the Age of AI
Reshaping the logistics and supply chain sector with intelligent analytics
Implementing intelligent algorithms for logistics and supply chain companies that drive customer success
Read AllLinehaul Planning
Industry Problem:
In the telecom space, always providing impeccable network reception to customers is a big challenge as it involves a lot of variables that are sometimes not withing a telco’s control. It can lead to an experience that is frustrating for customers even prompting them to move to a different provider.
Since the rollout of 5G, customer expectations have risen exponentially with users always expecting fast and reliable connectivity. This means telecom providers need to make significant efforts to ensure that user experience is not impeded in any way.
Read our solutionAsset Positioning
Industry Problem:
A powerful asset positioning tool calculates the most optimal storage, repositioning, and maintenance strategy for empty assets. Among the challenges faced by companies are high storage costs at demand locations, under-utilization of assets, lack of end-to-end business process visibility, and disconnected data in silos. At MAG, we build solutions that alleviate these issues in the most time and cost-effective way.
Read our solutionPredictive Maintenance Planning
Industry Problem:
At MAG, we build proactive algorithms that designed specifically for efficient maintenance of transportation assets. Among the problems faced by companies are unexpected breakdowns that disrupt operations and reduce service levels, growing pressure to keep maintenance costs low and manual planning that is effort-intensive for large fleets and prone to errors.
Read our solutionInventory Management
Industry Problem:
Companies generally struggle with excess raw material and inventory parts, demand forecasts being non-granular (at the part level), poor On-Time-In-Full delivery levels, disparate IT systems puts supply chain data into silos, and the inability to view worldwide supply chains in near real time. At MAG, we build system that solve these problems in the most affordable and time-efficient manner.
Read our solutionPlanning and Scheduling
Industry Problem:
Among the business problems facing companies are inaccurate demand forecasting, poor On-Time-In-Full (OTIF) performance, frequent change order causing schedule disruptions, rigid Linear Programming solutions being difficult to maintain, and multiple tools, disparate IT solutions leading to data silos. At MAG, we build effective solutions that mitigate these issues providing companies with valuable insights that help them streamline their planning.
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