IoT devices generate huge amount of data every day. This data is streamed to a cloud and stored in data warehouse, where it can be easily accessed and manipulated using big data tools. This, in turn, creates perfect conditions to use data science tools for detecting and predicting specific events, including system failure, extra power consumption and others.
Our objectrive was to predict the goods consumption to optimize the office supply chain.
We've developed a simple, intuitive and accurate algorithm to predict which goods need to be ordered and at what time. The algorithm was implemented as a separate service and integrated into the existing customer ERP system.
To develop a predicting model, the sensor data was analyzed as time series using the autoregression approach combined with neural networks.
Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.