MDM Booster Pricing & Licensing: Strategic AI for Your Business

Training an AI model is the process of learning from data. First, a use case is created, which you use to define your goals. Data is then provided, linked and the input information selected. The training of your own AI model can then begin immediately. You don’t have to worry about selecting the algorithms, parameters, etc. – the MDM Booster does this for you. Experts can set a variety of parameters if required.

Use cases for AI training

• Classification – Automatic assignment of data to classes, such as material groups, ticket solutions, employee groups, or customs tariff numbers.
• Regression – prediction of numerical values, such as price or sales forecasts.
• Duplicate detection – Identification of duplicate entries, such as customers with different delivery addresses or typos.
• Entity Recognition – the recognition and extraction of important information, such as names, dimensions, or colors.
• Association analyses – recommendations, such as recommendations for customer service, individual product recommendations, or further training opportunities.

1. Data provision

• Provide data from various sources, such as ERP systems, CRM systems, databases, or Excel files.

2. Data preparation

• Data is automatically analyzed, cleaned, duplicates removed, and inconsistencies corrected.
• If necessary, further data enrichment.

3. Model training

• The AI ​​is trained using your data or external data. The optimal and most efficient algorithms and parameters are selected automatically.

4. Validation and Testing

• The MDM Booster automatically creates test datasets from your data to ensure that the AI ​​model reliably performs its task.
• Calculation of quality indicators to provide you with an indicator of the model’s quality and reliability.

5. Optimization

• The feedback from your experts will be used to achieve even better results.
• Feedback loops can be incorporated to adapt the model with new data or changed requirements.

The MDM Booster requires structured data or text, for example from Excel files, ERP, CRM, or other systems. The exact requirements depend on your specific use case.

The required amount of data depends on the specific use case. Small datasets are often sufficient for simple models, while more complex applications require more training data. Our platform helps you create meaningful models even with limited data.

You will typically receive initial results shortly after training your AI model. Depending on the complexity of the data and the desired accuracy, you can deploy your AI model productively within minutes to hours.