All Case Studies

    Machine Learning

    Best Time to Call

    Predicting the best time to call customers using machine learning.

    Client

    Customer contact organisation

    Industry

    Services

    Date

    21.12.2022

    +25%

    Answer rate

    -30%

    Wasted call attempts

    Daily

    Model refresh

    The Challenge

    Outbound teams were calling customers at times that simply did not work, wasting agent hours on unanswered calls and frustrating customers.

    Our Solution

    A machine learning model learns from historical contact data which time window each customer is most likely to answer, and feeds those recommendations into the dialer.

    Results

    Personalised contact windows per customer

    Higher answer rates with the same team size

    Fewer unwanted interruptions for customers

    Continuous learning from every call outcome

    Machine LearningCustomer ContactPrediction

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