Working with Large Language Models to Improve Customer Feedback Analysis

Elder Research partnered with a national restaurant chain to refine their customer feedback analysis. Our goal was to enhance their text classification capabilities, enabling quicker, more accurate insights into customer sentiment and operational improvements.

Using a “Busyness” Metric to Inform Customer Decision-Making

Elder Research partnered with a fast-food restaurant chain to develop a minimum viable product solution that leveraged data to help the client better manage customer demand.

Data-Driven Hospitality at Marriott | Mining Your Own Business Podcast

Predicting Customers’ Wait Time

Hospitable Data