Visibility + AI-Based Capacity Matching Key to Customer Satisfaction
Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- Descartes MacroPoint
- McLeod Transportation Management System (TMS)
Tech Stack
- AI-driven capacity matching
- Real-time freight visibility
- Geofencing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Cost Savings
- Productivity Improvements
Technology Category
- Functional Applications - Remote Monitoring & Control Systems
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Business Operation
Use Cases
- Fleet Management
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- System Integration
- Software Design & Engineering Services
About The Customer
As a third-party logistics (3PL) company, Sunset Transportation provides professional, reliable transportation solutions. Sunset serves customer needs with sophisticated systems and processes to support multimodal logistics and all sizes of freight spends while remaining committed to its roots with personalized, dependable service. The company is privately-owned and has been recognized with awards for its service. Sunset Transportation handles over 30,000 shipments annually and aims to elevate customer service, increase operational efficiency, and support growth through advanced technology solutions.
The Challenge
Today’s volatile market has challenged 3PLs like Sunset to become more agile, simplify the load visibility workflow and find available capacity quickly. As Sunset continued to grow, its labor-intensive manual load tracking practices were unable to meet rising customer expectations for frequent status updates on the 30,000+ shipments moved by the organization per year. Similarly, with tightening capacity, load coverage became exceedingly difficult and time-intensive to manage with phone calls, emails, and load boards, compromising revenue opportunities and impeding growth. The company wanted to replace manual practices with technology to provide real-time freight visibility, strategic carrier sourcing, and automated capacity matching to boost productivity, unlock growth potential, and build stronger customer and carrier relationships.
The Solution
In alignment with the five customer promises underpinning its success—savings, visibility through technology, data-driven decisions, continuous improvement, and relationships—Sunset implemented Descartes MacroPoint, a real-time freight visibility and automated capacity matching solution. Fully integrated with the company’s McLeod Transportation Management System (TMS), Descartes MacroPoint enables Sunset to view, analyze, predict, and communicate the status of any shipment in real-time, dramatically improving its ability to manage exceptions, minimize detention charges, and keep customers happy with frequent automated alerts and ETA notifications. The solution’s AI-driven capacity matching tool also automatically matches open customer loads with available forward-looking capacity in Sunset’s existing carrier network to help Sunset increase productivity, build stronger carrier relationships, and protect margins in competitive lanes. With visibility to capacity two to five days out, Sunset relies heavily on the Descartes solution for longer-term projects, bids, and loads with 48+ hours’ notice. In addition, Sunset expanded its carrier sourcing capabilities using the solution’s capacity co-op, an opt-in network to find capacity when trucks in a 3PLs existing carrier network are not available. Advanced visualization and algorithms unlock readily available capacity, enabling the company to better select carriers for upcoming loads from an expanded pool in a fraction of the time.
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.”