Secure data collection devices, processes, and machines.
Real-time display of operational data in a customizable interface for local and remote controls.
Contextualization of data across equipment and facilities in one simple platform, for making informed and reliable business decisions.
Using advanced algorithms, real-time data with machine learning applications to make calculations and provide predictions and estimates. Analysis on both historical and real-time data facilitates accurate conclusions.
With real-time data collection at every stage of manufacturing, IoT components reveal process redundancies and inefficiencies that are to be eliminated.
The IoT components of a smart factory can collect data on product defects.
Smart factory technology can streamline equipment predictive maintenance that minimize downtime and maximize productivity.
From data insights into energy use, environmental performance and events like workplace injuries, IoT devices can help factories to create sustainable process and positive work environment.
IoT can help you see how products should move in and out of your warehouse to optimize efficiency and minimize labor costs.
Use resources more effectively and automate inventory management by tracking what materials are used and restocking just in time.
In supply chain management, cloudification emerges as a meaningful technology that could contribute to the financial and operational optimization by providing infrastructure, platform and software solutions for the entire supply chain network via the Internet.
By optimizing the utilization of physical and financial assets, companies can reduce costs across the manufacturing process. Greater automation increases efficiency and quality, and digital business platforms can boost scale and speed.
Advanced, customized products combined with connected after-sales services — or even a full subscription-based services approach — attract new customer groups, enhance customer experiences, improve competitive differentiation and drive new sources of revenue.
Integrating customer data across silos and understanding customers by using machine learning are enabling highly personalized interactions and making it possible to deliver accurately focused, proactive customer services.