Big Data improves the management of logistics fleet operations by calculating the most accurate route for individual drivers and fleets, taking into account road conditions, weather, updates, safety compliance, efficiency, cost and other constraints.
Fleet management analytics relies on a variety of data types, such as telematics data, data from various cloud or edge devices, GPS, in-vehicle cameras, traffic cameras, and driver monitoring applications. The data collected can reveal the most common causes of accidents and provide insight into how to avoid them.
What is fleet management analytics?
In simple terms, fleet management is the management of commercial motor vehicles, specialized vehicles and trailers through advanced Big Data analytics with the objective of optimizing costs, risks and improving the efficiency of operations of any type of fleet.
The implementation of Big Data within this management allows you to evaluate, plan, coordinate and streamline the operation of your fleet, while making it possible to optimize the management of your fleet and analyze the behavior of vehicles and drivers.
This enables solving complex problems with global products and services by analyzing and transforming information into easy-to-follow instructions, including reliable, real-time data such as lane closures, low bridges and other restrictions.
Logistics leaders can use this methodology to automatically analyze hundreds of road attributes and calculate which route is best suited for fleets, improve driver retention by using routes designed to save time and reduce stress, ensure driver safety and comply with industry regulations.
These are some of the 10 benefits that Big Data provides to fleet management:
1. Cut costs by increasing fuel efficiency, as fuel costs are a major drain on the company’s budget.
2. Increase safety by preventing driver injury and activity suffering by identifying unsafe behavior patterns, such as aggressive braking at stop signs, to provide training information.
3. Anticipate maintenance by gaining a competitive advantage by staying on top of vehicle maintenance ensuring vehicle longevity.
4. Dynamic route optimization providing customers and suppliers with accurate ETAs.
5. Generating optimal multi-stop routes for your entire fleet, incorporating truck attributes and live traffic data, reacting to last minute changes by adapting routes and paths tailored for special handling and time-sensitive goods.
6. Understanding route performance by comparing planned routes with actual routes and applying location data to gain real context.
7. Improve visibility of commercial vehicles by accurately tracking fleets by locating and monitoring their vehicles in real time.
8. Predict arrival times with a more accurate view of vehicles in relation to their depots, warehouses and final destinations.
9. Gaining an overview of heavy equipment, vehicles and smaller assets are at the core of any construction industry business.
10. Energy management, such as fuel management, energy planning and infrastructure.
At PREDIK Data-Driven we leverage your internal data and spatial data, to collect data about your fleet to improve the productivity and efficiency of your business.
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