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AI-driven offer lifecycle management

URN C24.0.654

Topics AI (Artificial Intelligence), Customer experience management, Product lifecycle management

Harnessing AI to optimize offers and target investment

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Providing tailored offers to every customer is a driving vision for many communication service providers (CSPs) today. In practice, this would require significant time and effort, creating added complexity to manage across an organization. With this Catalyst, using AI, we’re taking key steps towards realising this vision by addressing two of the key challenges for managing the offer lifecycle in a world of mass customization: Creating real-time, tailored offers for every customer to enhance their purchasing experience. * With our AI-based offer design assistant, we are using AI to dynamically assemble new personalised offers and pricing based on a customer’s context, needs, and other data, scoring offers on their potential for success. Efficiently managing the offer lifecycle in the context of mass customisation. * Through our AI-based catalogue rationalization assistant, we are using AI to analyse all created offers based on their commercial success, offering recommendations to CSP product and marketing teams, helping them rationalise their catalog for easier management across lines of business. Both use cases rely on commercial intent information, including customer context, needs, and budget, the service provider’s business goals, and commercial offer scoring. The target benefits of our AI-driven offer lifecycle management solutions include: 1. Lowering the time and costs of creating, delivering, and managing personalised customer offers at scale 2. Driving increased sales among new and existing customers 3. Improving customers’ satisfaction and their overall experience