25% increase in self-help dispatches with a data-driven approach to improve customer service for a multinational tech company

Key Outcomes
21%
Increase in customer diagnostic process engagement
25%
Increase in auto-dispatch volume
80%
Enrichment of raw data, adding context and insight into the customer experience
Enrichment of raw data, adding context and insight into the customer experience
Overview

In an effort to enhance customer service for a multinational tech company, a data-driven approach revamped the self-help dispatch system. Challenges like low self-service completion rates and heavy reliance on call centers were addressed by evaluating and improving the web experience. This led to a 21% increase in customer engagement, a 25% rise in auto-dispatch volumes, and an 80% enrichment of raw data, providing greater insight into the customer experience. The optimized process reduced the need for call center support and improved overall customer satisfaction.

Challenges

  • Low completion rate for self-service process.
  • High dependency on call centers for support.
  • Poor customer experience in troubleshooting and replacing defective parts.

Value Delivered

The team conducted a comprehensive evaluation of the self-service process, isolating high failure points and making strategic changes to both the front and back end of the web experience. This led to a more intuitive and frictionless process for customers, reducing the need for call center support.

Capabilities

Data & Analytics

Process Transformation

About Client

This multinational technology company is one of the largest of its kind in the world and is listed on the Fortune 500. It serves a global customer base in 180 countries and has extensive R&D and manufacturing operations worldwide.

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25% increase in self-help dispatches using a data-driven approach to improve customer service for a Fortune 500 tech company

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