Polish company is looking for technology for the following:
- personalization of services, integration of the CRM system with predictive analytics modules that will collect and analyze customer data including their purchase history and interactions. Based on this data, machine learning models will be trained to predict customer segments with a given purchasing potential. The system will segment customers according to their needs and purchase probability, and also generate sales recommendations for agents. The goal is to increase sales efficiency through a proactive approach and better matching offers to customers;

- AI assistant to support agents and clients will act as an advanced tool supporting both agents and clients of Insu. For agents, the AI assistant will provide immediate answers to inquiries about the company s products, procedures and policies. Thanks to integration with the CRM system and other databases, the assistant will be able to quickly provide information about clients and recommend appropriate products based on predictive analytics. For clients, the AI assistant will be available 24/7, offering support in the form of a chatbot that answers questions, helps solve problems and guides clients through various processes, such as filing claims, verifying or updating personal data;

- automation of administrative support, application of AI to perform routine administrative tasks such as form processing, data verification, automation of the process of reporting, processing and analyzing insurance claims, generating reports.
Advantages and innovation
Technical Specification or Expertise Sought
1. ML: Knowledge of ML algorithms (in-depth knowledge of machine learning algorithms, both classical and deep learning), predictive modeling (ability to build, train and optimize predictive models and analyze large data sets), model validation (experience in testing models, minimizing over- and under-fitting)

2. NLP: Text analysis (expertise in text processing and analysis, implementation of NLP techniques), Language understanding (building systems that interpret user queries and classify text information), Dialogue systems (creating chatbots that interact naturally)

3. NLG: Response generation (systems that generate consistent responses and texts based on analyzed data). content personalization (experience in personalizing content based on user data)

4. Cloud Computing Integration: scalability (knowledge of cloud technologies and building scalable solutions), security (implementation of secure cloud solutions with access management and data protection)

5. APIs and Integrations: API creation and management (experience in designing and managing APIs), system integration (ability to integrate with existing systems such as CRM and databases)