EROAD Incorporates Microsoft Azure OpenAI Service to Accelerate Product Development

EROAD Limited announced plans to develop new products and features using Microsoft’s generative AI to deliver innovative user experiences.

Eroad Microsoft Azure
EROAD

EROAD Limited announced plans to develop new products and features using Microsoft’s generative AI to deliver innovative user experiences. 

Microsoft enables EROAD to use artificial intelligence (AI) to assist further development of CoreTemp, a predictive analytics software for refrigerated vehicles and trailers.

“Our mission is to provide businesses with the intelligence to help them deliver a better and more sustainable world. We have been actively looking for collaborations to help drive our growth strategy, and who better to partner with than Microsoft. This collaboration doesn’t just speed up our product development and open up new segments of the North American market, but it will give us product functionality that can benefit our New Zealand and Australian customers as well,” says Mark Heine, CEO of EROAD.

“We are thrilled to work with EROAD, a leader in sustainability and fleet management solutions, to accelerate their AI innovation and transformation. EROAD is a great example of how Microsoft’s cloud and AI platforms can empower businesses to harness the power of data and AI to create new value and experiences for their customers. We are looking forward to seeing the impact of these projects and features on the transport industry and beyond,” says Vanessa Sorenson, managing director of Microsoft New Zealand.

 

Key takeaways:

  • EROAD will deliver AI-powered tools such as dashboards that can generate customized, interactive reports and insights based on user preferences and feedback; voice assistants that provide hands-free and conversational access to EROAD’s products and services, such as navigation, alerts, and analytics; and image recognition that detects and classifies objects and events from the cameras installed on the vehicles, such as traffic signs, road conditions, and accidents.
  • Examples of the early benefits of the collaboration include AI Digital Advisor, which leverages generative AI to act as a strategic consultant for fleet operations. By analyzing telematics data, it optimizes asset load balancing and driver efficiency.
  • Complementing the Digital AI Advisor is a refined interactive model focused on predictive maintenance and management of reefer operations. This innovative system will utilize AI to identify patterns and anomalies that can predict maintenance issues before they become critical.

 

 

 

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