Individual pricing calculation system

Utilizes customer behavior data to determine their insurance premium.

Implemented functionality:

• Gathering and analyzing customer behavior data from various sources, including web analytics, social media, and CRM system data.
• Using machine learning for data analysis and developing individual pricing models.
• Integration with policy management systems to automate the pricing calculation process based on individual pricing models.
• Employing data collection and analysis tools such as SQL, Python, R, and Tableau.
• Implementing mechanisms for automatic optimization of pricing based on changes in customer behavior data.
• Implementing personalization mechanisms for client offers based on individual pricing models.
• Utilizing visualization tools to display data and individual pricing models.
• Implementing monitoring and auditing mechanisms for the individual pricing system to ensure its effectiveness.
• Integration with other company systems, such as customer service and anti-fraud systems, to ensure consistency and process control.