Turn your data into a strategic advantage

Machine learning (or machine learning) is an approach to artificial intelligence that consists of train algorithms on existing data so that they can then detect patterns and make predictions. Unlike manually programmed rules, a machine learning model gets better with experience : the more data it is fed, the more accurate and relevant it becomes.

The applications are numerous and concern almost all sectors:

• Sales and demand forecasting to adjust stocks.
• Logistics optimization : Anticipation of breakdowns or delays.
• Detection of fraud or anomalies in transactions.
• Customer segmentation and personalized marketing recommendations.
• Predictive maintenance industrial equipment.
• Financial risk analysis and proactive investment management. These use cases allow transform your data into strategic levers.

Not necessarily. If the quality of the data is good, it is possible to obtain relevant results with a moderate volume. What matters is that the data is clean, structured and representative of your activities. We help you identify, clean and enrich your datasets so that your models are efficient.

A project involves several stages:

1. Analysis and framing : definition of objectives and KPIs.
2. Data preparation : cleaning, structuring, selection of variables.
3. Modeling : training the algorithms and comparing the results.
4. Deployment : integration into your business tools (ERP, CRM, BI).
5. Follow-up and retraining : control of performance over time. Depending on the complexity, a project can be operational in 6 to 16 weeks.

The cost depends on the scope: a simple sales forecasting model will cost less than a real-time fraud detection system. The return on investment is measured by:

• The time saved in analysis and decision making.
• Reduction in losses (e.g., out of stock avoided).
• Increase in sales thanks to better forecasts. Often, ROI is achieved by A few months after the start of production.

No Many SMEs are already using machine learning to improve their management. For example: a merchant can anticipate periods of high demand, an industrial SME can predict the maintenance of its machines, and an e-commerce player can personalize its product recommendations. Machine learning is accessible and adaptable for all business sizes.

Yes. All data is treated with strict security measures: encryption, anonymization, access control, and logging. We also ensure GDPR compliance: right to be forgotten, data minimization, explicit consent. Your business stays master of its data and their use.

We also ensure the sovereignty of your data, by guaranteeing their hosting in environments that comply with European regulations.