Machine-to-Machine (M2M) communications have made it possible for businesses to interact with their assets like never before. M2M solutions use wireless data to link together computer systems, remote devices, and mobile personnel. Through M2M communications,
you can attain complete digital control of your corporate infrastructure.
Take Control with M2M Communications
Our Corporate Intelligence Network (CIN) aims to both monitor and manage infrastructure in real-time. Enhance productivity and cost efficiency within your company by implementing one of our M2M solutions. Compact, highly advanced connectivity terminals can easily be integrated with your existing systems.
Sample Applications:
Fleet Management
Our fleet management solution is more than just location. We supply essential information to your business that is not available with a traditional location service. For example, readings can be taken from temperature control devices and sent back to the server with location data.
Unlike a typical GPS solution, Binspy’s fleet management relies on redundant location technology. If your mobile personnel are out of range of GPS (due to weather conditions, or indoor tracking), they can still be traced using our cellular location technology. This increased reliability will ensure your business runs smoothly in any condition.
Telemetry
Many industries have been waiting for a reasonable and practical solution to solve their business problems. Current techniques for monitoring utility usage are extremely labour intensive. Our solution is capable of automating these processes, thereby reducing operating costs.
Our system can automatically poll various meters for information as well as integrate this information into existing CRM implementations for billing purposes.
Cost efficiency for metering and monitoring applications can be obtained by using off-peak airtimes for communication.
Service & Maintenance
Personnel in the service and maintenance industry can benefit from real-time status updates and problem notification. Managing a physical infrastructure can be simplified by self-diagnosing equipment. Most equipment is already capable of providing maintenance signals in a similar fashion to automotive engines.
Our solution can interpret these signals into valuable business information, and send them to managers in real-time. This new source of information can increase productivity of service and maintenance personnel, as well as reducing costs of diagnosing potential problems.
