ProxiTrak

Our AI & IoT (AIoT) technology enables customers to execute data-driven business decisions, based on actual usage of their on-site machines, allowing them to scale their customer services, logistics, and sale opportunities. Track real-time onsite temperature and performance and predict failure time for refrigerators or vaccines, tests and medications​. Track onsite machine performance in real-time, provide value-added services to your customers & understand your products use. Increase customer satisfaction by becoming proactive and provide customers insights to achieve optimal operational efficiency. Maximize in-store appliances’ and machines compliance and reduce inventory and maintenance costs. Food and beverage chain stores operate thousands of stores with several different appliances in each location. They do not have means to track and monitor how each appliance is used.

IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.