B'SMART
STAND: B270
| Web: | https://bsmart.global |
| Phone: | 626785675 |
| Address: | C/Camil Oliveras, 26 08032 Barcelona Barcelona |
Activity:
Our focus is on harnessing the potential of the Internet of Things (IoT) to collect real-time data from all relevant aspects of logistics and supply chain operations. This includes the location of assets, the condition of machinery, the performance of vehicles, environmental conditions, among others.
We use a variety of sensors and IoT devices embedded in assets and infrastructure to collect this data. Then, using advanced data analytics and machine learning techniques, the system presents and works with data to identify patterns, trends and anomalies that can affect operational efficiency and service quality.
For example, we can predict machinery failures before they occur, enabling proactive maintenance and avoiding costly downtime. In addition, we optimize processes associated with our clients' operations using optimization algorithms and predictive analysis to increase productivity and reduce costs.
In short, our approach combines real-time data capture via IoT with powerful data analytics and machine learning techniques to provide logistics and supply chain companies with actionable insights that enable them to make more informed decisions. , reduce costs, improve operational efficiency and quality of customer service.
Our focus is on harnessing the potential of the Internet of Things (IoT) to collect real-time data from all relevant aspects of logistics and supply chain operations. This includes the location of assets, the condition of machinery, the performance of vehicles, environmental conditions, among others.
We use a variety of sensors and IoT devices embedded in assets and infrastructure to collect this data. Then, using advanced data analytics and machine learning techniques, the system presents and works with data to identify patterns, trends and anomalies that can affect operational efficiency and service quality.
For example, we can predict machinery failures before they occur, enabling proactive maintenance and avoiding costly downtime. In addition, we optimize processes associated with our clients' operations using optimization algorithms and predictive analysis to increase productivity and reduce costs.
In short, our approach combines real-time data capture via IoT with powerful data analytics and machine learning techniques to provide logistics and supply chain companies with actionable insights that enable them to make more informed decisions. , reduce costs, improve operational efficiency and quality of customer service.
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