20240054550. ORDER ANALYTICS CAPTURE SYSTEM, SUCH AS FOR QUICK SERVICE RESTAURANTS simplified abstract (Marchex, Inc.)

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ORDER ANALYTICS CAPTURE SYSTEM, SUCH AS FOR QUICK SERVICE RESTAURANTS

Organization Name

Marchex, Inc.

Inventor(s)

Sunny Smith of Benton KS (US)

Michael E. Seeds of Rose Hill KS (US)

Tyson Frevert of Olathe KS (US)

ORDER ANALYTICS CAPTURE SYSTEM, SUCH AS FOR QUICK SERVICE RESTAURANTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240054550 titled 'ORDER ANALYTICS CAPTURE SYSTEM, SUCH AS FOR QUICK SERVICE RESTAURANTS

Simplified Explanation

The patent application describes a system and methods for analyzing orders in quick service restaurants using audio data. The audio data is captured through an intercom system using one or more audio extraction modules. An order analysis model is then applied to characterize the audio data, including estimating customer satisfaction and perceived employee attitude. Based on this characterization, recommendations are generated, including suggestions for improving employee behavior to enhance customer satisfaction and perceived employee attitude. The order analysis model can be a machine learning model trained to analyze audio data for orders.

  • The system analyzes audio data from multiple orders in quick service restaurants.
  • Audio data is captured using audio extraction modules through an intercom system.
  • An order analysis model is applied to characterize the audio data, including estimating customer satisfaction and perceived employee attitude.
  • Recommendations are generated based on the characterization, including suggestions for improving employee behavior.
  • The order analysis model can be a machine learning model trained to analyze audio data for orders.

Potential applications of this technology:

  • Quick service restaurants can use this system to analyze customer orders and improve their service based on the recommendations generated.
  • The system can help identify areas where employee behavior can be improved to enhance customer satisfaction and perceived employee attitude.

Problems solved by this technology:

  • The system allows for the analysis of audio data to gain insights into customer satisfaction and employee attitude, which can help identify areas for improvement in quick service restaurants.
  • It provides a systematic approach to analyzing orders and generating recommendations for improving customer satisfaction and perceived employee attitude.

Benefits of this technology:

  • Quick service restaurants can enhance their customer service by making changes based on the recommendations generated by the system.
  • The system provides a data-driven approach to improving employee behavior and customer satisfaction.
  • It allows for continuous monitoring and analysis of customer orders, enabling quick service restaurants to make timely improvements.


Original Abstract Submitted

a system and methods for analyzing orders is disclosed, such as for quick service restaurants. audio data is received for multiple orders, the audio data being captured using one or more audio extraction modules via an intercom system. an order analysis model is applied to characterize the audio data, the characterization including estimated customer satisfaction or perceived employee attitude. based on the characterization, one or more recommendations are generated, including a recommended change in employee behavior to improve customer satisfaction or perceived employee attitude. the order analysis model can comprise a machine learning model trained to characterize audio data for orders.

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