Fleet Management & Forklift Safety Blog

What’s Gained from Artificial Intelligence and Cloud-Based Telematics

Posted by Brian Quigley, Director of Client Services on Mar 5, 2019 4:00:00 AM

The move to cloud-based telematics and artificial intelligence is on the rise, but maybe you are still uncertain what your business can gain from it. The primary gain typically falls under the category of ‘operational agility,’ but there are key benefits that deliver ROI.  cloud-3843352_640

IBM’s 5 Reasons Businesses Use the Cloud cites several benefits, like improved access to analytics, increased productivity, and reduced costs. Before you decide to make the move, you need to know the basics of what cloud-based technology can do for you.

  • It delivers real-time data from your fleet telematics, detailed analysis, flexibility (fleet vehicle tracking from anywhere).
  • Faster deployment of information – Cloud-based systems makes it easier to embed analytics and reporting in the transaction system so users can see reports in real time.
  • Advanced diagnostic tools allow remote service personnel to do what an onsite person can do, fixing potential issues before they occur.
  • Enterprises obtain greater data security.
  • Meet the needs of organizations with growing or fluctuating bandwidth demand.

Cloud-based systems boosted by machine-learning capabilities 

With a focus on efficiency and productivity, 82% of companies surveyed said they saved money by moving to the cloud. There is one caveat to seeing ROI: choosing the right cloud platform that leverages Artificial Intelligence (AI) for machine learning.

With AI, software platforms identify and merge patterns from what machines “experience” using advanced analytics, IoT sensors, and real-time monitoring. The partnership provides answers based on insight versus guesswork and delivers the end-to-end visibility required for success.

In fact, the number of enterprises implementing artificial intelligence (AI) grew 270 percent in the past four years and tripled in the past year, according to a 2019 survey by Gartner, Inc

Machine learning shapes daily warehouse operations for many companies. The basic advantages include:

  • A smarter warehouse – with increased tracking of operator patterns, order picking, inventory monitoring, and just-in-time deliveries 
  • Superior communication – all systems can “talk” to each other; combined information supports improved timing and routing, product location, and traffic patterns 
  • Easy integration – telematics systems partner with SMART systems, increasing efficiencies as they monitor and track behaviors within the warehouse environment 
  • Improved locationing capabilities – systems will become much more “context aware,” able to locate inventory (down to the foot) and suggest optimum forklift routing
  • Customized operational parameters – forklift parameters based on location, battery charge state, presence of other vehicles, physical conditions at current location, historical performance and predictive calculations, etc. 

Holding back from making system upgrades can be a costly mistake. The cloud connects all your information with ease and value — revolutionizing data and how it is received in real time. AI allows for machine learning to meet the challenges of supply and demand, while predicting and reducing costly mistakes. 

Topics: remote data capabilities, Cloud-based solution, automatic data capture, The cloud, data analytics, cloud-based telematics, the future of telematics, distribution center, telematics diagnostics, human error, connected warehouse solutions

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