Unlocking B2B Growth with Data & AI: From Sales Opportunities to Long-Term Customer

This is a question many B2B leaders may not be able to answer immediately, as customer data is often scattered across ERP systems, Excel files, emails, and multiple other platforms.

At the same time, customer experience is shaped by every touchpoint — from responding to quotations and processing orders to delivery and post-sales service. Small issues may seem isolated, but when they recur without being identified and addressed in time, they can gradually erode customer trust and influence their decision to continue the relationship.

That is why customer retention goes beyond post-sales service. It starts with managing the entire customer journey through a unified data foundation. When data is connected, AI can help businesses identify anomalies, prioritize issues, and enable teams to take proactive action before small problems develop into larger risks.

WHAT WILL YOU DISCOVER AT THE EVENT?

Join us for an in-depth evening discussion exploring key topics:

From initial engagement, consultation, and quotation to order processing, delivery, and post-sales service, where are the gaps in your processes that may lead to delayed responses, missed information, or issues being addressed only after it is too late?

When customer information, transaction history, orders, communications, and service activities are spread across multiple systems, how can businesses enable different teams to access a unified source of customer data and make decisions based on the same information?

How can AI help teams detect changes in customer behavior, identify early warning signals, and prioritize cases that require timely attention?

Instead of responding only when customers raise complaints or show signs of leaving, how can businesses build an operating model that identifies issues earlier and delivers a consistent customer experience throughout the customer lifecycle?

Through practical insights and real-world scenarios, explore how businesses can integrate CRM, data, and AI into their existing processes — creating tangible business value without turning digital transformation into a standalone technology project.