Using key metrics and data including your customers' mobile GPS locations, identify your target customer profile and their consumer behavior.
Uncover how your stores affect each other, where your customers are going, your ideal cotenants, and ultimately what drives success.
Use predictve models powered bymachine learning
Our proprietary machine learning algorithm actively learns what drives your store success in order to forecast the revenue of potential sites. Discover the market potential by seeing how many stores a certain market can capture, and find out what contributes to a potential site's success with Streamline.
THE OLD WAY
The industry uses poorly trained, static models to help you understand the competitive market landscape.
The Streamline Advantage
Streamline fine tunes models specific to your business, and iterates through millions of scenarios to pick up on insights which are often completely missed by traditional models.
Developed by our team of Stanford data scientists and real estate professionals, this methodology results in tailored insights that accurately predict the success of your stores.
Find your next home runlocation
Identify Success Drivers
Obtain a better understanding of which drivers help or hurt your business
Forecast Revenue Potential
Harness machine learning to forecast revenue for potential sites
Assess the impact of opening new stores against existing stores and online sales
Maximize revenue potential by knowing where and how many stores to open in a market
Track, share, and export data on all real estate in your pipeline
Visualize Key Data
Visualize success factors on an intuitive mapping interface