Accurate Models, Better-Informed Decisions
Traditional brokerage firms rely on linear modeling approaches. These just aren’t enough, on their own, to support fully informed site selection decisions. Machine learning-driven and predictive models eliminate underperforming sites and allow us to help you minimize financial risk, limit inefficient CAPEX, and expand average unit sales volume. Future store performance can be forecasted using historical data and a geospatial database, comprised of massive mobile data that tracks consumer behavior in real time. At Locate, we’re passionate about discovering actionable insights from mountains of retail data. We build accurate site forecasting and predictive models, customized for your brand, based on subsets of the aforementioned variables combinations. For example, take a look at a sample prediction report:
