How to Navigate Customer Journeys in the Age of AI: Analyze Billions of Monthly Interactions Using Real-Time Identity Resolution

A global bank discovered that two-thirds of its call center customers were simultaneously active in digital banking — and used real-time customer journey analytics to finally connect the two, analyzing billions of interactions every month.

Customer journeys today are anything but linear — a mobile browse, an abandoned cart, a chatbot conversation, a live agent call. Most organizations can't connect these moments because customer data sits locked in silos across legacy systems that can't integrate in real time. The result: agents blind to concurrent digital activity, customers forced to repeat themselves, and frustration that erodes satisfaction and retention.

The question is clear: how do you unify fragmented touchpoints — web, app, chatbot, and call center — into one real-time customer journey that AI can actually understand and act on?

Celebrus and Teradata combine real-time, first-party digital data capture with AI-powered journey analytics — sessionization, nPath logic, and NLP — to resolve every interaction into a single customer view. This lets organizations move from reacting to problems to proactively intervening before dissatisfaction sets in.

Customer Journey Analytics • Real-Time First-Party Data • AI-Powered Journey Intelligence • Proactive Customer Engagement • Unified Customer View