Transportation and distribution of goods or resources is capital intensive, energy consuming and with significant maintenance costs to maintain fleets. Any efficiencies or optimizations that can be done therefore offer important help to cost controls and competitiveness. Machine learning has numerous applications in this domain. Darq Energi can help you achieve your goals, including:

  • Route optimization, to manage multiple delivery vehicles, their delivery routes and destinations to reduce time for delivery and energy consumed
  • Predictive maintenance, to ensure delivery and distribution fleets are available when needed by ensuring preventative and corrective maintenance measures are taken to reduce costs, pre-empt major system failures and limit the amount of down-time or lost capacity within the fleet
  • Inventory Management, leveraging your inventory data to help optimize your warehousing costs through space optimization, stock level optimization
  • Workforce management
  • Reduction of operational costs
  • Sustainability & eco-friendliness

We understand what the civil service has to navigate through having been ones ourselves.

Areas for transportation that Darq Energi is closely monitoring:

  • Quantum machine learning has the potential to offer better performance in less time and with less data than machine learning based upon classical computing

Our team has a wide variety of experiences in this domain, from heavy equipment support, to supporting car manufacturers, even racing.

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