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AI Based Lending Engine

Discover how ABLE optimizes pricing in lending and trading, enhancing competitiveness and customer satisfaction through dynamic, data-driven models and automated contract negotiations.

In the rapidly evolving business landscape, machine-learning based pricing is revolutionizing how companies set prices. By utilizing AI, businesses can gather comprehensive customer insights and perform detailed market and internal scans to compare similar offers. This enables the development of robust price assortment strategies that are both competitive and profitable.

The use case includes features such as attractiveness and mood analysis to gauge customer sentiment, continuous learning from the volumes of accepted and rejected deals, and asset scanning to evaluate the securities involved in pricing decisions. Additionally, predicting return and comeback behavior allows companies to create strategies that encourage repeat business.

One of the most advanced aspects of this approach is autonomous negotiation, where AI systems negotiate lending rates and other terms in real-time, providing data-driven decisions that optimize outcomes. This dynamic, data-driven pricing model not only improves pricing accuracy and market positioning but also enhances customer satisfaction and operational efficiency.

Explore how this innovative technology is transforming pricing strategies and driving success in the industry, ensuring businesses remain at the forefront of their markets with superior client solutions.

Project in Numbers


2 months

Team of




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