CALL CENTER AUTOMATION

Our Client is one of the TOP European Retailers.
The CALL Center is one of the main remote customer service channels FOR THE RETAILER Significantly increased CALLs workload in the recent years WHICH has negatively affected the quality and speed of service.

CHALLENGES

NO SINGLE CS SOLUTION

  • Customer data is scattered across multiple systems

  • Contact center employees have to work with several windows at the same time

A LOT OF MANUAL OPERATIONS

  • Manual customer data search in multiple systems

  • Manual data transfer between multiple systems

  • Manual processing means a loss of time

POOR CUSTOMER SERVICE

  • High risk of customer churn

  • Decreased customer loyalty

One of the RETAILER’s main goals is to create the most comfortable Customer Service experience. To achieve this, the Client highlighted the following objectives: Contact Center Automation and DEVELOPMENT OF PROCESSES TO INCREASE CUSTOMERS SATISFACTION.

OBJECTIVES

  • To choose a platform/framework to create a targeted solution.

  • To develop and implement the targeted solution that will simplify and systematize the Customer Service process, as well as make it as fast and efficient as possible.

  • To analyze the Customer's needs, form technical and business requirements.

  • To create a roadmap for further development of the solution.

To create a targeted solution, our Team chose the Pega Customer Service framework which meets all the Client’s requirements.

IMPLEMETED SOLUTION FUNCTIONALITY

  • Integration with Cisco UCCX and Cisco Finesse

  • Automatic customer identification

  • 40 points of integration with ABS Equation to receive and update customer data

  • Scripts and prompts configuration during the service

  • Management of Customer Cards (creating/checking for duplicates/editing/searching/viewing changes)

  • Inbound and outbound customer service calls

  • Customer support

  • Warm Transfer (the process of transferring customers’ calls between operators)

  • System Settings Management at the Business User level

  • Customer data management: Collecting and storing customer service information including the history of interactions

RESULTS

Reduced Processing Time

The average customer request processing time has been reduced by simplifying and systematizing the work of the Retailer’s employees.

An up-to-date and easy to use solution has been implemented for the Retailer's employees, which allows providing Customer Service in a "single window" mode.

“Single Window” Mode Service

The foundation for further Customer Service Channels Automation has been built.

Customer Service Automation

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