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All solutions

Business Intelligence

The Fourth Industrial Revolution is now in full swing and the Digital Transformation is no longer a trend, but a necessity for all companies to remain competitive on the market. Thanks to our Business Intelligence software solutions, you can easily face this challenge!

We build customized predictive and prescriptive analysis models, based on Artificial Intelligence and Machine Learning, to provide you with timely information for supporting your strategic decisions, acquiring flexibility and gaining a strong competitive advantage.

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Smart Factory & Industry 4.0

We are experts in the improvement of energy efficiency and in the optimization of business flows, including internal procurement, production, warehouse management, maintenance and distribution processes.

Smart Services & Digital Enterprise

We offer Business Intelligence consultancy to companies belonging to the tertiary sector, including insurance companies, banking institutions and retailers, in order to provide them with the right tools to create new added-value services for end-customers.

Manufacturing Manufacturing
  • Optimization of production processes
  • Optimization of plant efficiency
  • Predictive maintenance
  • Energy control and efficiency
Logistics Logistics
  • Optimisation of warehouse operations (e.g. picking)
  • Optimisation of pricing quotation process
  • Inventory Demand Forecasting
Agrifood Agrifood
  • Forecasts of agricultural production
  • Automated Crop Monitoring & Optimization
  • Minimisation and efficiency of fertilizers usage
Bank & Insurance Bank & Insurance
  • Enhanced credit scoring system
  • Risk prediction
  • Customer churn rate prediction
Utilities Utilities
  • Supply forecasting
  • Customer churn rate prediction
  • Detection of customers' needs
Marketing & Sales Marketing & Sales
  • CRM enrichment
  • Customer Segmentation
  • Advertisement Optimization
Roadmap of a project
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1. Data preparation

We define the structure of annotated data

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2. Model design

We identify the features and the mathematical model

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3. Model training

We set parameters and measure all performances

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4. Model usage

The model is ready to make predictions based on new data