SUCCESS STORIES
Success Stories
Failure Prediction System in Solar Panels
Machine Learning I 4CastPdM I 4CastIPP
Prediction and detection of Micro Fissures – Hotspots in Solar Panels through integration of thermal imaging cameras and processing software for image analysis. This resulted in a significant increase in useful life of panels, reduction of maintenance costs and increases in the uptime of power generation in plant.
Success Stories
Predictive Maintenance in Packaging
Predictive Maintenance I 4CastPdM
Our Predictive Maintenance Platform improves the operational efficiency and automatically schedules maintenance in industrial printers, thus obtaining a global increase in asset performance, and reduced maintenance costs both in planned and unexpected machinery stops thus reducing losses for the company
Success Stories
Predictive Maintenance in Mining Machinery
Predictive Maintenance I 4CastPdM
Through real-time monitoring of tension in specially adapted bolts in SAG mills for mineral crushing process, breakdowns are reduced by their prediction and self scheduling maintenance, generating substantial economic savings for mining companies.
Success Stories
Demand Prediction, Customer Segmentation, Stock Breakage Systems
4CASTBI I 4CASTDS
An increase in the volume of new customers was predicted based on consumer behavior data (Climate, economic indexes, others) for a NGL company. Customer segmentation models were developed according to their consumption, age and trends. Likewise, stock breakage were predicted and detected through data science and business intelligence analysis, obtaining new KPIs and relevant data for the company. As a result, there was a decrease in operational costs, an increase in sales and visibility in production demand.
Success Stories
Queue and Bottleneck Management System
Machine Learning I 4CASTIPP
Through our 4Cast IPP Suite, queue waiting times in customer service and cashier boxes modules were reduced for a retail company. Using Machine Learning technology and biometric image analysis, the Human Resources and Customer Service areas were optimized, generating a fast and catering experience for shoppers.
