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 Implemented Salesforce for a Leading International Organization Case Study
Case Study

Streamlined Customer Service Processes to Boost Operational Efficiency and Enhance CSAT

Client

The customer is a leading customer support company
based in the United States.  Known for its comprehensive customer support solutions, the client operates across multiple service areas offering support in various ways.

Industry

IT Services and IT Consulting


Region

United States

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Challenges

The client ascertained an increasingly emergent challenge within a very distributed customer service model, where numerous locations provided different service options, resulting in inconsistencies in service delivery. 

These conditions inhibited the establishment of an aligned customer service and experience delivery strategy. The client’s old manual and outdated reporting system also did not provide relevant or timely insights to make decision-making efficient enough to address the customer’s needs in a timely manner

Solution

Datamatics implemented a scalable, omnichannel support solution to address the client’s challenges. This solution integrated all customer service channels, ensuring seamless support for both customers and service agents, regardless of location. As part of the solution, a predictive model was developed to optimize scheduling and resource deployment, enabling the client to better predict customer demand and allocate resources efficiently to meet those needs.

Furthermore, Datamatics also developed a knowledge management system that centralized all relevant information and made it available to all customer service representatives regardless of location. A graphical dashboard was also developed to track what was going on with the helpdesk in
real-time. The dashboard actually provided far better operational visibility that supported better queue management and better
decision-making.

Impacts

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80%

Increase in First Call Resolution
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90%

Of calls answered within 20 seconds
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4.5

Average CSAT score
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Improved operational efficiency with reduced costs through better queue management and resource allocation

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