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Computer vision for inventory management
The power to predict the future. With the historical data of your business we build algorithms to detect patterns and predict events.
Production optimization and quality improvement
We build artificial intelligence models that predict deviations in quality of raw materials and products. The system gives recommendations on the variables that must be adjusted to ensure the quality in the process, hence generating significant economic savings.
Real-time data extraction and visualization
We digitize manual processes to extract and visualize, in real time, the most relevant data of our clients’ operations, positively impacting on maintenance operations, as well as facilitating strategic decision-making based on critical business information and data.
Our machine learning algorithms are able to predict when an equipment will register a failure or a breakdown, offering key variables to act in advance and avoid unplanned stoppages and reducing equipment downtime.
Energy consumption optimization
Energy consumption is one of the main costs in the industrial sector, in some industries it represents up to 40% of the total. Our IoT and AI solutions help companies manage energy more efficiently by making more accurate forecasts on consumption and supply, have a visualization of variables in real time to increase efficiency in their use, and issue recommendations based on predictive analytics for smart consumption
We develop predictive analytics and machine learning models to analyze historical data in order to find patterns and correlations to make highly-accurate predictions. With enough data we are able to adjust to any degree of market segmentation. Thus, providing our customers the ability to make strategic decisions in their logistics operations, raw materials flow, adjust production and inventory volumes, among other benefits.
Optimization of fuel consumption with AI
Fuel consumption can represent up to 38% of the company’s logistics costs. Our solutions are capable of analyzing specific travel routes using high levels of data and variables, such as altimetry, traffic volume, driver’s driving style, amount of cargo that the truck carries, schedules, speed, among others. Thus, our algorithms combine the best variables to optimize each trip, reducing the incidence of the human factor and generating significant cost reductions.
Safety alerts in plant
We can provide a variety of solutions for plant safety, varying from artificial vision models with cameras installed in risk areas that are capable of issuing alerts. Also, through sensors installed in the personnel safety equipment we can monitor and predict behaviors and situations that could cause risks to personnel
Optimization of production planning
Our AI models avoid operational obstacles that affect business profitability, such as high inventory levels, low delivery returns, excessive waste, etc. Our AI model allows planners to optimize production plans through their planning techniques and with a fully customized user interface.
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