Case Study Tags: Customer Service

Boosting customer call resolution for a UK retail bank

Tiger Analytics implemented a deep learning-based solution that used an active learning loop to analyze call resolution based on customer conversations, quickly creating an 85% accurate model with 100% coverage.

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Telecom player significantly improved campaign engagement with propensity modeling

Tiger Analytics built an ML model to assess email response propensity, unveiling key drivers. It identified over 80% of potential email openers and top-decile customers.

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