Award-Winning AI in Fleet-Management, What We Can Learn From CAFU
Industries with very large fleets have been facing challenges related to operational inefficiency, theft and fleet maintenance for more than a decade now. Key focus areas like route optimization, demand-surge prediction, predicting vehicle breakdowns, have seen applications of AI by large organizations.
We will talk about them in detail, but let us first mention somebody who has gotten an award for achieving this feat.
On-demand, in oil and gas sector, and the award for AI. How CAFU did it?
Recently CAFU, UAE – delivering fuel on-demand, won the first ever Brave awards from ‘AI Everything’ in association with ‘Forbes AI’. They were given this honor for their application of advanced Artificial Intelligence and Machine Learning capabilities in a mobile app with the latest IoT solutions and sophisticated algorithms.
As you can guess, they bring fuel to your car or boat, rather than you going to a gas station. Such a feat is only sustainable by improving the level of optimization for fleet management, every day.
With AI in fleet management, you can make it possible for new business models to be profitable and scalable.
Here are the top 4 areas in fleet management where you can use AI and make data-driven optimization.
# Automated Delivery Dispatch
Artificial Intelligence is a life saver for fleet administrators. They can automate their task assignment using AI-powered algorithms. AI and machine learning play a major role by deciding the nearest and available fleet, considering factors like the distance of delivery, tasks available that day, and other parameters.
Smart fleet management solution like Tookan gives the administrator the freedom to choose from many built-in auto-allocation algorithms and achieve a high level of cost optimization. It can help them to reduce their man-hours upto 38 %.
One of the most highlighted issues by the fleet management industry is the poor route-optimization and their dependency on paper trails for multiple pickups and delivery tasks.
The right solution can save you 43% of your fuel-cost by using AI-powered route-optimization. It delivers the fastest (or shortest) possible routes for all your deliveries at once, to your dashboard or to the driver side app. It can also take care of use-cases like single pickup – multiple deliveries, multiple pickups and single delivery, and single pickup – single delivery.
# Predictive Analytics to prevent vehicle breakdown
Using customized IoT devices for fleet management, vehicle can send automated signals and early warning alerts when the monitored parts need maintenance.
By analyzing signals like check engine, low battery or coolant temperature, AI algorithms can help to predict a breakdown to provide preventive maintenance before-time.
It helps vehicles run safely for a longer duration and also reduces delays in operations.
#Visibility Beyond Traditional Analytics
Adoption of AI in fleet management allows administrators to dive deep in the driving patterns of their fleets. In your dashboard, you can view data like, are the drivers making too many stops on their way, driving rash or wasting fuel by keeping the ignition on for no reason. AI is making it possible to move beyond traditional location tracking.
The future is here, the fiction is now real and the technologies that were once available only with a few are now available for the whole industry. So introduce data-driven optimization to your business now. Be it delivery management, fleet management or workforce management.
The future is here, the fiction is now real and the technologies that were once available only with a few is now available for the whole industry. So introduce data-driven optimization to your business, now. Be it delivery management, fleet management or workforce management.
Start now, with automation in fleet-management.