Use Cases

MindsDB helps turn raw data into business intelligence using AI
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All Use Cases

There's a MindsDB application for any business question you may have. Some of the more frequent applications include:

Credit Scoring

Determining which customers to give credit to is one of the most challenging endeavors financial institutions face. If they extend credit to unreliable customers these institutions risk losing money. With machine learning, these organizations can obtain accurate models that illustrate customer credit risk. Using these models, MindsDB helps financial institutions determine customers’ credit worthiness to reduce risk.

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Customer Lifetime Value Optimization

Acquiring and nurturing customers to ensure continuous revenue is a logical step for most businesses. Determining the value each customer will have on the business over their lifetime as a customer is equally important. By using advanced machine learning algorithms, MindsDB helps companies understand who their customers are, what to expect from them, and their value over their lifetime as a customer.

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Fraud Detection

Due to the fact that fraud techniques keep getting more advanced businesses have to prioritize fraud detection to lower risk. Using fraud detection algorithms, MindsDB scores transactions that may seem fraudulent and automatically flag and reject them. Our predictive models help companies identify and prevent fraudulent by providing real-time and historic insights.

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Inventory Management

Projecting how much of any product or item needs to be produced can have a massive impact on inventory and subsequently on capital for any company. Artificial Intelligence can cross-reference items in any given data set with trends in the data to automatically determine the correct inventory amount a company will need to have on hand. MindsDB’s powerful platform takes advantage of these AI capabilities to provide you with a robust tool that takes the guesswork out of determining product demand.

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Loan Recovery

Loans can be expensive. Loan recovery can be even more so. Banks and financial institutions need the assurance to guarantee that the loans that they provide will be paid back in time. Machine learning models allow these institutions to streamline the loan recovery process. MindsDB uses these models to identify at-risk customers, predict loan recovery dates, and organize debt collection efforts.

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Patient Health Outcomes

When it comes to healthcare, time is of the essence. Using predictive modeling, AI helps healthcare providers monitor patient data to identify patients at risk for adverse events. MindsDB uses machine learning to empower healthcare organizations to predict patient health outcomes before they occur.

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Predictive Maintenance

Unplanned downtime can be disastrous to any organization. With Predictive Maintenance, organizations can be proactive in the prevention of these events by determining precisely when equipment should be taken offline for maintenance. MindsDB uses machine learning to help companies minimize equipment failure, reduce errors and lessen unplanned downtime.

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Product Personalization

Today’s customers expect highly customized experiences from retailers and e-commerce providers. To provide such an experience, companies need to understand customer behavior. Machine learning algorithms allow a company to look at past purchasing behavior to understand and predict individual customer preferences. MindsDB expands upon this capability by taking historical data on sales and traffic to enable companies to put together a complete story of who their customers are. This helps them provide their customers with a personalized experience they’ll respond to.‍

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Quality Assurance

Quality Assurance is no stranger to automation. However, artificial intelligence helps take automation to the next level by focusing on continued testing. MindsDB makes it so that businesses can reduce test coverage overlaps, increase predictability in testing, and both detect and prevent defects.

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Retention Management

Finding and training quality employees is such a tiring task for any organization that once they have an employee in the door, keeping them there is the primary goal. AI enables human resources departments to get a complete view of employee behavior that they can use to make predictions on how employees will behave. Using AI, MindsDB enables HR teams to increase employee job satisfaction to help retain them and reduce turnover.

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