While many industries and business sectors are struggling to grasp the possibilities of data-driven technology, companies managing supply chains and fleets are actively pioneering solutions.
By their very nature, the logistics providers that move assets by air, sea, rail, and ground have widely distributed networks and rely on rapid information about those networks to make decisions. As a result, they have been quick to see the value of employing new sensor and connection technology to track supply chain assets in real-time.
Internet-connected RFID trackers using long-range cellular or satellite networks enable companies to track specific items throughout their delivery journeys. Logistics providers and their customers are actively searching for IoT-based solutions to optimize efficiency and network utilization, detailed shipment tracking, transparency and integrity control.
Shipping company DHL estimated in a 2015 study that IoT technologies such as asset tracking solutions could be responsible for generating $1.9 trillion of new-found value in the supply chain and logistics sector.
Historically, fleet managers have used telematics to understand basic facts about their fleets, such as location and drive time. But new IoT, artificial intelligence (AI) and expansion of sensor technologies have spurred fleet management to turn data into predictive action steps to keep their fleet running at peak efficiency.
Hundreds of vehicle sensors can measure and predict potential component failures, dramatically decreasing unscheduled maintenance while increasing fleet productivity. Environmental data, like weather and real-time traffic flow metrics, can be applied to reroute drivers. Historical data can add contextual information based on customer delivery preferences. Sensors can also measure variances in driving patterns like hard braking and other safety-critical events to maximize driver and public safety.
“As a form of AI, machine learning is making it possible to find relevant patterns in data captured by IoT devices and sensors to provide transportation and logistics managers the information they need to dramatically improve business efficiencies.” – Perry Lea, RUMBLE co-founder
At RUMBLE we employ mobile technologies, AI, machine learning (ML) and the Internet of Things (IoT) to assist transportation and logistics industries to maximize consistent and reliable delivery of product to customers. Let us show you how to turn your data into a Super Power.