The Mid-Size Belgian Truckers Who Punch Above Their Weight With Supply Chain Visibility
Customer Company Size
SME
Region
- Europe
Country
- Belgium
Product
- FourKites
Tech Stack
- Supply Chain Visibility Platform
- Real-Time Data
- Machine Learning
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Functional Applications - Fleet Management Systems (FMS)
- Analytics & Modeling - Real Time Analytics
- Analytics & Modeling - Machine Learning
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Business Operation
Use Cases
- Supply Chain Visibility
- Fleet Management
- Track & Trace of Assets
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Raybul is a mid-size Belgian trucking firm that operates a network of truckers and small trucking companies. The company moves approximately 1,000 loads a week throughout Western Europe. A significant portion of its business, about one-third, comes from one of the world's largest global food and beverage companies. Raybul's operations are crucial for transporting goods from warehouses to distribution centers and stores across the region. The company has been striving to improve its logistics and supply chain management to compete with larger transport companies. By adopting advanced technology solutions, Raybul aims to enhance its service quality, operational efficiency, and customer satisfaction.
The Challenge
Raybul, a mid-size Belgian trucking firm, faced significant challenges in managing its logistics operations efficiently. The company was moving 1,000 loads a week throughout Western Europe, but the process of tracking these shipments was cumbersome and time-consuming. The old system required manual calls to each driver to get an overview of each shipment, which could take up to an hour for 100 shipments. Information was siloed, leading to wasted time and inefficiencies. Additionally, a significant portion of Raybul's business came from a major global food and beverage company, which required timely and accurate shipment tracking. The need for a more efficient and centralized system became evident to meet customer demands and improve operational efficiency.
The Solution
Raybul partnered with FourKites, a leading supply chain visibility platform, to address its logistics challenges. The implementation of FourKites' platform began in early 2020 and was completed smoothly and quickly. The platform provided real-time tracking and centralized data management, significantly improving the efficiency of Raybul's operations. With FourKites, Raybul could track 80% of its loads accurately, providing superior service to its customers. The platform's real-time data and machine learning capabilities allowed Raybul to proactively manage delays and inform stakeholders in advance. This not only improved customer satisfaction but also helped Raybul attract new customers by showcasing its advanced logistics capabilities.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
