The AlgoNew Decisioning platform provides a powerful environment for decision automation and management, including analysis and modeling capabilities. It facilitates the definition of policies and procedures that guide decision-making throughout the customer lifecycle by enabling you to implement and maintain a repository of decision logic that is consistently executed throughout operational processes.
Decision Management is based on the application of techniques and solutions to manage and optimize the decision-making process, improving efficiency, consistency, and results through automation and data analysis.
AlgoNew Decisioning is a No-Code platform designed to facilitate the development and integration of advanced decision management solutions, without the need to write code, using graphical interfaces and intuitive tools. It integrates natively with the rest of AlgoNew’s solutions allowing the digitization of complex business processes, improving operational efficiency, and strengthening customer relationships.
Specialized platform for decision management, based on real-time analysis and advanced decision logic
Technology that provides the end user with the flexibility and information needed to make the right decision about customers.
Enables the determination of the right credit approval decision, the best cross-sell offer, and countless other critical business decisions that can be automated and optimized for maximum business performance
Put the power of decision-making in the hands of business users, giving them the ability to manage decision strategies without IT intervention.
Access unlimited data, scores, and attributes, including real-time access to credit bureau data in a fast and agile manner.
Depending on your business needs, a variety of deployment options are possible, including local installation, hosting, and software-as-a-service. Always integrated with your business systems and processes.
Scalable and customizable technology, so you pay only for the functionality you need, with 24-hour support and availability.
Neural networks are used in multiple applications thanks to their ability to learn complex patterns from data and perform specific tasks efficiently
Banking and Finance: Credit risk assessment by analyzing financial data, credit histories, and other parameters, enabling informed decisions on credit approval and portfolio management.
Healthcare and Life Sciences: Clinical decision support and healthcare personalization based on patient data and medical protocols.
E-Commerce and Retail: Personalized recommendations to customers thanks to the analysis of purchase history, preferences, and behavior to improve user experience and increase sales.
Insurance: Agility and flexibility in the underwriting and claims process to determine premiums and approve or reject claims efficiently and accurately.
Business Operations: Supply chain decision-making by analyzing product demand for efficient planning and faster response.
Telecommunications: Improving customer experience and optimizing resource allocation by analyzing usage data, behavior patterns, and user preferences.
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Case Study
Using AI to adjust pricing, supply chains, customer experience, etc. allows food retailers to adapt to inflation and consumer expectations. Read More
Case Study
A leading European insurer faced the challenge of competing with new digital insurers and high customer expectations. Read More
Case Study
A leading Latin American bank, specializing in consumer banking and small-to-medium enterprises (SMEs), faced mounting challenges in a competitive market. Read More