ProxiTrak Reviews

IoT data is not structured and therefore difficult to analyze using traditional analytics and business intelligence tools designed to process structured data. IoT data is often gathered from devices that record very noisy processes (such temperature, motion, and sound). These devices often have large gaps and corrupted messages. This makes it difficult to analyze the data. IoT data can often only be meaningful when viewed in conjunction with third-party data inputs. Vineyard irrigation systems often combine moisture sensor data from the vineyard with rainfall data from the vineyard to aid farmers in determining when to water their crops. This allows for better water usage and maximizes harvest yield. AWS IoT Analytics automates all the tedious steps required to analyze data from IoT devices.

Our AI & IoT technology (AIoT), allows customers to make data-driven business decisions based on actual machine usage. This allows them to scale customer services, logistics, sales opportunities, and customer service. Real-time temperature and performance at the site can be monitored and predicted failure times for refrigerators, vaccines, tests, and medications. You can track machine performance at onsite, provide value-added service to customers, and understand the use of your products. Customers will be more satisfied if they are proactive and you provide them with insights to improve their operational efficiency. Maximize compliance with in-store appliances and machines, and reduce inventory and maintenance expenses. Food and beverage chains have thousands of stores that stock many different appliances at each location. They don't have the ability to track and monitor how each appliance has been used.