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Analyze & Extract Insights from Free Form Customer Surveys

Smartbridge Use Case Collection

Customer reviews, surveys and feedback forms that are in various formats can be analyzed for valuable insights in seconds with Generative AI.

Use Case Overview

The sheer volume and unstructured nature of customer survey data makes it difficult to extract meaningful insights. Applying the right digital technologies, restaurant groups can now…

  • Analyze millions of customer reviews containing free form text across multiple brands, locations, and meals.
  • Analyze data that is stored in tabular format but lacking structured insight.

  • Eliminate the difficulty in identifying trends and extracting actionable feedback.

Strategic Business Goals Supported

Benefits & Value to Restaurant Chains & Food Service:

  • Enable deeper customer insights, including sentiment analysis, issue identification, real-time analysis, custom reporting, and simple quantitative response.

  • Save time and resources previously spent on manual review processes.

  • Provide valuable guidance for improving menu offerings, service quality, and overall customer satisfaction.

  • Overcome the deficiencies of typical Gen AI capabilities and leverage add-on solutions to better respond to the business questions.

  • Maintain rigorous data security and privacy standards to protect sensitive enterprise information.

  • Offer an intuitive user interface, enabling professionals of all levels to interact with and benefit from its insights.

USE CASE in ACTION

Generative AI Solution for Global Full-Service Restaurant Group

Generative AI Solution for Global Full-Service Restaurant Group

  • Platforms included Microsoft Azure OpenAI & Python

15 Seconds

To review over 10+ million records with the ability to investigate any aspect.

50%

acceleration in identifying key trends.

60%

reduction in missed insights from manual reporting.

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Smartbridge Use Case Library is a collection intended to spark ideas, inspire innovation and get you thinking about real world value.

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