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Hitachi’s AI commercial fleet solutions use artificial intelligence (AI) algorithms and machine learning techniques to optimize the management of commercial fleets. These solutions provide fleet managers with real-time insights into their vehicles’ performance, location, fuel consumption, and other critical data, enabling them to make informed decisions that can increase efficiency, reduce costs, and improve safety.

AI Digital Fleets: Advanced Analytics. Improved Maintenance. Enhanced Performance.

AI Digital Fleets

Advanced Analytics and Modeling

This solution use advanced analytics and predictive modeling to anticipate maintenance issues before they become serious problems, identify driver behavior patterns that can lead to accidents, and optimize routes to reduce fuel consumption and travel time.

AI Digital Fleets

Data-driven Performance

It  also offer features such as real-time tracking, driver performance monitoring, and automated maintenance scheduling, which can help fleet managers make data-driven decisions and improve overall fleet performance.

 

AI Digital Fleets

Higher Profitability, Lower Costs

The solution is designed to help fleet managers operate their fleets more efficiently, reduce costs, and increase profitability by leveraging the power of AI and machine learning to analyze vast amounts of data and provide actionable insights.

Hitachi AI Digital Fleet Solutions

Hitachi AI Digital Fleet Solutions solution enables dramatically better visibility to complex fleet processes. There are several benefits of AI commercial fleet management solutions, including:

Increased Efficiency

AI algorithms can help optimize routes, reduce idle time, and monitor fuel consumption, which can lead to a more efficient fleet operation and reduce operational costs.

Improved safety

AI solutions can monitor driver behavior and identify potential safety risks, allowing fleet managers to take proactive measures to prevent accidents and reduce the risk of injury to drivers and others on the road.

Real-time tracking

With real-time tracking, fleet managers can monitor the location and status of their vehicles, which can help improve customer service, reduce response times, and increase overall fleet visibility.

Predictive maintenance

AI algorithms can identify maintenance issues before they become serious problems, allowing fleet managers to schedule repairs and maintenance proactively and minimize downtime.

Data-driven decision-making

AI commercial fleet management solutions can analyze vast amounts of data and provide actionable insights, allowing fleet managers to make informed decisions based on real-time data.

Increased profitability

By improving efficiency, reducing operational costs, and increasing safety, AI commercial fleet management solutions can help fleet managers increase profitability and maximize their return on investment.

Overall, Hitachi’s AI commercial fleet management solutions can help fleet managers optimize their operations, reduce costs, and improve safety, while also providing a competitive advantage in a rapidly evolving industry.

 

 

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Predictive Maintenance

Predictive Maintenance is a key application of AI commercial fleet management solutions. It involves using machine learning algorithms to analyze data from vehicles , proactively monitors and predict when maintenance will be required before a breakdown occurs. This allows fleet managers to schedule maintenance proactively, minimizing downtime and reducing repair costs. There are several benefits of predictive maintenance in fleets:

Reduced downtime

By identifying maintenance issues before they become serious problems, fleet managers can schedule repairs and maintenance proactively, minimizing downtime and keeping vehicles on the road.

Lower repair costs

Proactive maintenance can help prevent major breakdowns, reducing the need for costly repairs and replacement parts.

Improved safety

Regular maintenance can help prevent accidents caused by equipment failure, reducing the risk of injury to drivers and others on the road.

Better data analysis

Predictive maintenance relies on data analysis, which can provide valuable insights into vehicle performance and maintenance requirements, allowing fleet managers to make data-driven decisions.

Increased efficiency

By reducing downtime and repair costs, predictive maintenance can help improve fleet efficiency and reduce operational costs.

Overall, predictive maintenance is a valuable application of AI commercial fleet management solutions, allowing fleet managers to optimize maintenance schedules and reduce costs while improving safety and efficiency.

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Repair Recommendation

Repair recommendation is another key application of Hitachi’s AI commercial fleet management solutions. It involves using machine learning algorithms to analyze data from vehicles and provide recommendations for repair and maintenance based on vehicle performance, maintenance history, and other relevant factors. There are several benefits of repair recommendation in fleet maintenance:

Proactive maintenance

Repair recommendations can help fleet managers identify maintenance issues before they become serious problems, allowing them to schedule repairs and maintenance proactively and minimize downtime.

Cost savings

By identifying maintenance issues early, repair recommendations can help prevent major breakdowns, reducing the need for costly repairs and replacement parts.

Better decision-making

Repair recommendations can provide valuable insights into vehicle performance and maintenance requirements, allowing fleet managers to make informed decisions about repair and maintenance schedules.

Increased efficiency

By reducing downtime and repair costs, repair recommendations can help improve fleet efficiency and reduce operational costs.

Improved safety

Regular maintenance can help prevent accidents caused by equipment failure, reducing the risk of injury to drivers and others on the road.

Overall, repair recommendation is a valuable application of AI commercial fleet management solutions, allowing fleet managers to optimize maintenance schedules, reduce costs, and improve safety and efficiency.

 

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Business Drivers

Hitachi’s EV Commercial Fleet Solutions provides a comprehensive machine learning/AI based smart  charging management from  vehicle scheduling to energy optimization. The result is reduced energy cost, optimized charging based on utilization, extended life of battery and reduce EV range anxiety

EV Fleet Smart Charging

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Scheduling & Energy Optimization

  • Comprehensive AI/ML based smart charging management and Optimization Insights
  • Charging Infrastructure Consulting, Design, Installation & Service
  • Real time Vehicle Charging Status and reservation scheduling service
  • Grid connectivity , Energy cost optimization & Charging Depot Management

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Optimization, Mobile App & Driver Experience

  • Battery Charging Optimization
  • Fleet Utilization Optimization
  • Driver Monitoring & Management
  • Energy Cost Optimization

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Reporting, Notifications, Billing & Integration

  • AI-based reporting and dashboard
  • Billing and payment solutions
  • Field level notifications
  • 3rd Party Service Integration

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Learn more about AI Digital Fleet Solutions.

Ready to take your fleet to the next level? Contact us today to learn more.

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