Transportation and logistics

Arcanum helps transportation and logistics companies predict asset failure risk, address inefficiencies, and enhance operational visibility

.The potential of AI and Machine learning is not only enhancing everyday business activities and strategies but also is streamlining the logistics on a global scale.

AI and trasportation

AI technology along with machine learning provides new insights into different areas which include warehouse management, logistics and supply chain management.

Some of the best technologies used in these areas are AI-powered Visual Inspection to identify damage and carry out needed correction by taking photos of the cargo by using special cameras and Intelligent Robotic Sorting to sort palletized shipments, parcels and letters.

AI can help to drastically increase efficiency in the areas of network planning and predictive demand.
Thanks to predictive logistics, when companies know what the market expects, they can quickly move the vehicles to the areas with more demand and thereby bring down the operational costs.

Another area that can greatly benefit from machine learning is robot optimization for the supply chain, AI can super-powering their ability to track, locate and move inventory within the warehouses.

ARCANUM can help you with

Fleet Predictive Maintenance

Aggregate petabyte-scale data from fleet-deployed sensors, devices, enterprise systems, and operational systems to generate accurate predictions of vehicle and asset failure. Arcanum Predictive Maintenance provides planners and operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver high-quality services, and reduce maintenance costs.


Leverage real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service. Arcanum CRM delivers AI-generated forecasts and scores in real time using insights from internal and external data sets.

Energy Management

Reduce energy costs and improve warehouse and building operations through real-time tracking, analytics, and optimization. Arcanum Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, demand response, and anomaly detection to lower costs, improve operations, and meet energy-efficiency goals.

Inventory Optimization

Reduce inventory holding costs and improve cash flow and supply chain visibility. Arcanum Inventory Optimization applies advanced machine learning to analyze variability in demand, supplier delivery times, and quality issues to build real-time recommendations and monitoring, so users can set optimization by confidence level and receive real-time notifications and root-cause analysis.