Customer Support Data Maturity: The 4 Levels That Define CX Success
This article originally appeared on Edge Signals – Bart Lehane’s LinkedIn newsletter on customer experience, analytics, and AI. Follow for
"EdgeTier is no ordinary software product ... It has completely changed how we work at CarTrawler.” James WaghornDirector of Customer Contact, CarTrawler The EdgeTier Mission At EdgeTier, we're on a mission to help contact centres with a technology-driven approach. We are driven to optimise contact centre metrics with our customer service software by reducing…

“EdgeTier is no ordinary software product … It has completely changed how we work at CarTrawler.”

James Waghorn
Director of Customer Contact, CarTrawler
At EdgeTier, we’re on a mission to help contact centres with a technology-driven approach. We are driven to optimise contact centre metrics with our customer service software by reducing handling times, lowering queue lengths, lowering abandon rates and increasing customer satisfaction scores.
Our AI software is built to empower contact centre managers and agents to unlock the promise and potential of a great customer experience.
To get you on the road to soaring CSAT scores, we’ve pulled together this great case study featuring a world-leading B2B technology organisation: CarTrawler.
CarTrawler is the world’s leading B2B technology provider of car hire
and mobility services to the travel industry, supporting over 2,000 travel partners, 2,500 transport suppliers and almost one billion end customers. CarTrawler’s rapid growth brought several key challenges, particularly in the area of customer care.
This case study will show you how CarTrawler used EdgeTier’s AI-enabled agent assist to revolutionise their contact centre performance, winning, ‘Best Use Of Technology’ at the CCMA Awards in the process.
This article originally appeared on Edge Signals – Bart Lehane’s LinkedIn newsletter on customer experience, analytics, and AI. Follow for
Generative AI chatbots are transforming customer service – but also creating a new kind of risk. When AI assistants hallucinate,
Following on from our recent update to the Home screen, which introduced a new way to surface the most pressing
"We now have highly detailed understanding of agent performance, not just on key agent metrics, but also on how customers react to our agents and the emotions of our customers feel when talking to our team."
"You’ve got an issue, but you don’t know how many people are affected. You don’t know the scale. You don’t even know if it’s real."
"We thought at the time that we were putting the customer at the fore. We thought we were doing things right. But in hindsight, we really weren’t because we had no real-time insights whatsoever into customer issues."



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