Call Journey
4 Case Studies
A Call Journey Case Study
A leading American bank faced significant challenges in understanding its vast volume of customer interactions across six contact centers. With over 60,000 daily calls, the bank was making critical decisions based on flawed data, including a 63% inaccuracy rate in agent summaries. This led to unfavorable performance in key metrics like cost per contact, speed to resolution, and agent productivity. To address this, the bank partnered with Call Journey to leverage their Call Journey Ci conversation intelligence platform for more accurate and actionable insights.
Call Journey implemented its Ci platform, which utilized advanced AI, machine learning, and data science to analyze customer conversations. Key modules provided root cause analysis for customer contact and dissatisfaction, identified automation opportunities, and assessed agent performance. This data-driven approach uncovered over 100 distinct opportunities for improvement. The bank estimated these insights could lead to $23 million in potential savings, with over $14 million being directly measurable, and successfully tied over $4.5 million in tangible benefits directly to the solution.
Leading American Bank