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Discover how an offshore-onshore hybrid collections model achieved 41% monthly savings and increased digital payments by 87%.
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Experiencing a rise in customer complaints and churn? Are customer support channels unable to satisfy customer demands?
In this case study discover how a customer remediation model:
Download now for these insights and more.
A leading telecommunications provider delivering reliable mobile, internet and entertainment services.
The client swiftly moved customer service lines offshore as part of a cost optimisation strategy. However, this approach led to an initial rise in customer complaints and churn. Additionally, problems with NBN capacity allocation caused some customers to pay high fees for bandwidth they didn’t use, while others didn’t get enough bandwidth.
Probe CX designed a remediation model in collaboration with the client. The solution involved a combination of strategic and tactical measures:
The network operations division utilised digital messaging capabilities and agile maturity to implement Oration, an AI and machine-learning solution supporting guided customer journeys. Oration accurately forecasted customer usage by analysing historical and current data, considering factors like day-of-week, weather and sporting events.
The ramping of customer support channel coverage, implementation of an expert panel, various process optimisation strategies and Oration resulted in significant improvements:
The automation set up a baseline for machine learning to be applied for future demand forecasting with their legacy system functionality now centralised into a single system, improving usability.
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