Pathr, a machine learning-enabled spatial intelligence platform, uses anonymous location data to drive real-time business insights and help retailers understand how people and objects are moving around the store. The company’s proprietary “behavior engine” uses predictive algorithms and data analysis to map and evaluate the way spaces are used.
Pathr is agnostic to the source of location data it uses, letting it ingest information from all types of sensing equipment, including cameras, beacons and RFID. The software can then connect that data to specific business use cases to generate actionable insights. The software enables users to:
- Determine optimal timing for employee-customer interactions;
- Create more targeted on-the-floor exchanges;
- Streamline operations;
- Improve loss prevention and mitigate theft; and
- Support the sales, marketing, communications and human resources channels.
The information revealed by Pathr includes browsing and buying behavior, store floor dynamics and movement patterns. The tool can be used to understand how both customers and associates move through the store to improve performance.