Case Study

UST helps global fast-food chain analyze and reduce complaints by 27%

UST developed a robust analytics solution using real-time data collection, NLP, and intuitive dashboards. The global restaurant chain collected, aggregated and analyzed customer sentiment data to identify issues and reduce complaints by 27% within a year.

OUR CLIENT

The company is a multinational food and beverage company that owns and operates several well-known fast-food restaurant brands. They are primarily a franchisor of fast-food restaurant chains, and its business model revolves around franchising its brands to individual and corporate restaurant operators.They are a prominent player in the fast-food industry, with a strong global presence and a commitment to serving a wide variety of fast-food options to consumers around the world.

THE CHALLENGE

Inability to use customer feedback to resolve issues

Facing mounting customer complaints, the company wanted to implement a technology solution to capture and aggregate feedback from multiple sources, like social media and online reviews. Company leaders wanted to gain actionable insights to resolve issues from that data.

THE TRANSFORMATION

Creating a multichannel analytics platform to gather and aggregate customer sentiment

UST implemented a 360-degree customer feedback management solution that included:

THE IMPACT

Building a brand that listens and responds to customer feedback

By transforming its approach to customer complaints, the company reduced complaints across all digital channels by 27% in just a year. This solution helped the fast-food chain improve customer experiences and its brand.

RESOURCES

https://www.ust.com/en/generative-ai

https://www.ust.com/iq

https://www.ust.com/en/industries/retail-and-cpg