Leading Australian logistics company reduces time spent reporting from 20 hours to 20 minutes
公司规模
1,000+
地区
- Pacific
国家
- Australia
产品
- Narratives for Power BI
技术栈
- Power BI
- Artificial Intelligence
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 运输
适用功能
- 商业运营
- 质量保证
用例
- 实时定位系统 (RTLS)
服务
- 软件设计与工程服务
- 系统集成
关于客户
Tasrail is a prominent logistics company based in Australia, responsible for operating rail networks across the Tasmanian region. The company plays a crucial role in the transportation of goods, moving over three million tons of freight annually. Tasrail's operations are vital for various industries that rely on efficient and timely delivery of goods. The company is committed to maintaining high standards of service, ensuring that goods are delivered on time and that key performance indicators (KPIs) are met. To achieve this, Tasrail conducts monthly reviews of its operational performance with customers, providing detailed reports and insights. However, the traditional method of generating these reports was time-consuming and challenging to scale, prompting the need for a more efficient solution.
挑战
Tasrail, a leading logistics company in Australia, faced a significant challenge in managing its monthly operational performance reviews with customers. The company was responsible for transporting over three million tons of goods annually across the Tasmanian region. To ensure timely delivery and adherence to key performance indicators (KPIs), Tasrail conducted monthly reviews with its customers. However, the process of writing static reports for these reviews was extremely time-consuming, taking up to 20 hours each month. This not only made the task difficult to scale but also hindered the company's ability to provide timely insights and data to its customers. Tasrail needed a solution that could reduce the time spent on reporting while making data and insights easily accessible, all without increasing headcount.
解决方案
To address the challenge of time-consuming reporting, Tasrail implemented Narratives for Power BI. This innovative solution transforms Power BI data into dynamically generated stories that identify and explain key insights. These stories cover various aspects such as factors influencing transit time, trends impacting freight costs, and metrics on capacity utilization. For instance, the system was able to highlight an unusual drop in freight volume for a specific commodity, an insight that would have taken days to uncover manually. By leveraging Narratives for Power BI, Tasrail can now understand drivers of performance at any time of the day, allowing both the company and its customers to react to critical information in real-time. This eliminates the need to wait for month-end reports that require extensive interpretation. Additionally, the team at Tasrail can now focus on higher-value analysis, further enhancing their operational efficiency.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
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.”
