Enterprises with a large # of locations struggle to understand ‘hyperlocal’ factors that impact unit-level performance. QSR’s, retailers, hotels, and other related entities with a large # of locations are ‘leaving money on the table’ for the following reasons:

1. Lack of insight into competitive actions such as new competitors opening, expanding operating hours, or new services offered.
2. Inability to understand unit-level sales relative to foot traffic, which results in a skewed perception of which locations are over/underperforming
3. Inability to understand customer satisfaction versus competitive locations for each location.
4. Inability to forecast hourly guest counts resulting from incomplete data such as local events and competitive impacts.

Our solution allows enterprises to jumpstart their efforts to integrate internal and external data sources enable Location Analytics. Specifically:

1. Integrate with Google Maps to obtain attributes and reviews for each company location and find competitor locations on a weekly basis.
2. Leverage Amazon Bedrock to analyze feedback for all locations including competitors.
3. Integrate with 3rd-party provider of ‘foot traffic’ data to understand visitor counts for each location by time of day/day of week.
4. Integrate internal data like POS, labor, and inventory for anomaly detection.