Get the Hyper-Personalization Superpower: Advanced Decisioning
SUPERCHARGE YOUR DECISIONING: SEE INTO THE FUTURE WITH ARTIFICIAL
Look for AI/ML solutions that offer: • Auto-optimization: automatically detect drift and let users know to retrain models, ensuring continuous improvement in model accuracy • Champion/Challenger testing: pit two models against one another to identify the most accurate option and then deploy quickly with autoML • Pre-approvals: pre-approve qualified subscriber segments for enticing cross-sell and upsell opportunities, so you don’t have to wait for subscribers to come to you asking for faster internet, more wireless data, or a handset upgrade
INTELLIGENCE AND MACHINE LEARNING
Advanced, automated decisioning technologies can give you the power of super speed: processes that were once manual now happen in a fraction of the time. And faster processes improve the overall experience of your customers. An advanced platform can offer you: • Real-time decisions: go from activation to onboarding in real- time with automated processes that can make decisions in milliseconds • Flexible control: if you use tech that is low-code/no-code, you can adjust processes without relying on vendors to reflect changes in the market, business goals, or evolving regulations while keeping the experience seamless for your subscribers • Improved accuracy: easily launch and test decisioning workflows to optimize accuracy across the entire lifecycle • Automatic offers: automations can push the personalized offers to qualified subscribers the instant they qualify, letting telcos bypass lengthy batch decisioning processes
The right decisioning tech can also help you identify opportunities to improve CLV - operators that personalize services generate 40% more revenue than those that don’t 14 . Accurately determining the likelihood of payment default at the activation stage is also a critical moment for telco operators. One wrong assessment can cost thousands of dollars, on top of the hundreds already spent on acquisition. Two crucial areas next-level decisioning software should consistently perform include: • Automated decisioning: powerful automation can push applications straight through compliance, KYC, predictive modeling and pricing processes, making it easier and faster to identify potential fraud and defaults, as well as new subscriber bases • Scaling operations: decisioning can help increase subscriber volume, but it must be able to scale alongside a business while maintaining the accuracy of the increased volume of decisions
Life sure would be a lot easier if we had the power to see the future. We’d know the winning lottery numbers ahead of the draw and be able to avoid the traffic jam on the way to work. Advanced analytics like artificial intelligence and machine learning (AI/ML) provide that foresight: you can make accurate predictions about tomorrow that help you take the best course of action today, and integrating AI/ML into your decisioning processes can increase efficiency by up to 40% 14 . AI/ML makes it easy for you to proactively manage your portfolios by seeing patterns in your data that traditional decisioning can miss. It also enables you to improve the customer experience, with the ability to customize offers for current subscribers to improve retention, and it continually improves accuracy by learning with each decision it makes.
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