How AI and Machine Learning Impact Cloud-Managed Networking: TRANSPORTATION Edition

Over the past few weeks, we’ve been looking at the impact of AI and machine learning on specific industries. As was with mobility, different industries will grab ahold of new technology and leverage it to increase revenue, simplify operations, and increase productivity. Through AI and machine learning, organizations can become faster, leaner, and drive growth. This week, we will look at how these technology capabilities impact transportation.

The transportation industry thrives on data. Companies such as Freightwaves are building entire platforms around data in this industry. Small amounts of insight can give companies indicators of how markets are moving (pricing, capacity, demand, etc.). The transportation industry has been ahead of the curve here as well. Companies have previously used satellite technology to track cargo across the world. Now, companies can use IoT technology to capture millions of data points and then use machine learning to put that data into actionable insights.

Supporting Capacity Planning

As we continue to gather more data around transportation, companies will be able to make informed decisions on when customers will be ready to order new freight capacity. This information is important for sales brokers, but it’s also importing for capacity planning. An AI platform in transportation will be able to automate information for logistics, supply chain and planning. AI and machine learning will also play a key role in truck maintenance. By compiling information across the fleet, maintenance will be able to determine when and where the trucks will need to undergo repairs and eliminate mid-shipment breakdowns. Avoiding such breakdowns are crucial to on-time delivery and will help save costs.

Avoiding Delays

One of the major costs areas for transportation companies is delays in cargo arrival. If a shipper has committed to a certain service level agreement, it’s crucial that they achieve it. In much the same way that services like Waze have revolutionized personal travel, AI will be able to automate route management for drivers to avoid traffic across their route with pinpoint precision. As the AI system continues to grow in knowledge, traffic management platforms will be able to predict traffic patterns across the entire fleet for maximum time savings.

Predictive Maintenance for Fleet

Truck wear and tear is certainly something that can create havoc for transportation companies. By applying AI and machine learning technology to fleet maintenance, repairs can be done where they find the balance between avoiding breakdowns but also keeping trucks on the road. If companies avoid losing capacity by doing preventive maintenance at the appropriate time for maximum gains, they’ll be playing chess while their competitors are playing checkers.

Optimizing the Future Through AI

  • Where are the trucks?
  • How fast are they going?
  • Where are the customers?
  • What commitments have been made? 

These key questions that all transportation companies think about daily. An AI platform can take that information, apply machine learning, and produce actionable strategic optimizations a company can take to improve locations of warehouses, hiring, etc. 

Companies that combine AI and machine learning with lean operations will be well prepared for the future. They’ll have actionable insights they can use to drive down costs while increasing customer satisfaction. In transportation, data is a currency, and the earlier you have it, the faster it will grow.

All Posts in this Series

  1. Key Industry Use Case Edition: Introduction to AI and Machine Learning for Cloud-Managed Networking
  2. How AI and Machine Learning Impact Cloud-Managed Networking: RETAIL Edition
  3. How AI and Machine Learning Impact Cloud-Managed Networking: HOSPITALITY Edition
  4. How AI and Machine Learning Impact Cloud-Managed Networking: EDUCATION Edition
  5. How AI and Machine Learning Impact Cloud-Managed Networking: HEALTHCARE Edition
  6. How AI and Machine Learning Impact Cloud-Managed Networking: MANUFACTURING Edition
  7. How AI and Machine Learning Impact Cloud-Managed Networking: TRANSPORTATION Edition

Aerohive simplifies and secures your network using a cloud-managed solution with machine learning and artificial intelligence capabilities. AI-driven innovation enables customers to discover untapped business insights, allowing them to implement informed decisions based on these predictive analytics, while providing unrivalled flexibility in deployment, management and licensing of cloud-managed wireless, switching, routing and security solutions.

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