Primur chooses Cumulocity IoT to win business in Australia
Company Size
11-200
Region
- Pacific
Country
- Australia
Product
- Cumulocity IoT
- Apama
- TrendMiner Self-service Analytics
Tech Stack
- IoT
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Agriculture
- Transportation
Applicable Functions
- Logistics & Transportation
- Maintenance
Use Cases
- Fleet Management
- Predictive Maintenance
- Track & Trace of Assets
Services
- System Integration
- Training
About The Customer
Primur Systems and Resources is an IT solutions and services provider based in New South Wales, Australia. The company has been providing IT solutions and services to mid-sized clients for more than 20 years. Primur aims to deliver consistently high standards of professional consulting, focused on the client’s goals and specific requirements. The company offers a complete, one-stop-shop approach to IT services and support - from consulting, design, programming and implementation to training. While it has an industry emphasis on manufacturing and distribution, it also supports a diverse range of clients including health, finance and insurance.
The Challenge
Primur Systems and Resources, an IT solutions and services provider based in New South Wales, Australia, identified a gap in its competitors’ Internet of Things (IoT) offerings. The company's customers were seeking automation, condition monitoring, and predictive maintenance solutions. To stay up-to-date with the latest technology and provide end-to-end IoT solutions, Primur needed a robust and versatile IoT platform. The company's clients, which span various sectors including manufacturing, distribution, health, finance, and insurance, required customized, end-to-end solutions to their IoT issues. These ranged from monitoring the transportation of goods and performing diagnostics of truck engines, to ensuring livestock is eating properly.
The Solution
Primur chose Cumulocity IoT to supercharge its own vertical solutions. Cumulocity IoT, along with Apama and TrendMiner Self-service Analytics, provided a strong IoT differentiator over competitors and offered customers full end-to-end vertical solutions. Primur used Cumulocity IoT to create tailored solutions for its customers, offering advice on which sensors to choose, installing them, adding engineering expertise, and taking responsibility for the entire process. Cumulocity IoT’s case-study approach meant that Primur could deliver the solutions its customers needed. The company took a hands-on approach to solving IoT problems for industry verticals.
Operational Impact
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
Intelligent Farming with ThingWorx Analytics
Z Farms was facing three challenges: costly irrigation systems with water as a limited resource, narrow optimal ranges of soil moisture for growth with difficult maintenance and farm operators could not simply turn on irrigation systems like a faucet.
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.
