Gain a deeper understanding in your supply chain, logistics, distribution, and demand forecasting. Leading organizations leverage Unacast’s human mobility insights to build better products and make smarter decisions with real-world data.
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Measure consumer activity at precise locations to optimize supply chain planning
Explore changes in area demographic profiles that impact sales
Understand site potential using venue-specific foot traffic as a proxy
Plan for opening, closing, or growing of sites and market areas
Enhance site analysis with advanced metrics like capture rate, visit duration, customer origin
Unlock trends for any area using custom-defined locations
Working with Unacast’s Competitive Intelligence solution, users can explore trends and insights in visitation, demographics, capture rate and area traffic, local trade area, and cross visitation behavior as well as benchmarking to brands, other venues, and competitors.
Understanding your business’s positioning typically involves sample-based methods that are limited in scope and thus difficult to understand real-world trends or conduct with regular frequency. Unacast’s actual foot traffic insights helps customers augment their competitive analysis by allowing them to:
Benchmark against competitors’ foot traffic, peak visitations, visitor trends, etc.
Analyze potential cannibalization effects, localized brand affinity and conduct void analyses
Uncover cross-visitation trends and discover previously unknown competitors
Compare your visitors’ demographic profiles to those of your competitors
Understand consumer behavior with competitors’ sites and effects of their omnichannel sales
Unacast provides a selection of specific data sets in our Site Selection solution, many of which can be segmented by area: census tract, county, or state; frequency: day, week, and month; and venue: home and work. For a list of our complete data schema and additional details and descriptions of these data sets, check out our data dictionary here.
Emerging areas and migration patterns
Macro-level location data such as foot traffic at the county level
Micro-level location data such as foot traffic to a particular venue
Catchment area data such as origin of foot traffic or distance traveled
Cross-visitation traffic between venues
Understand how to leverage data, improve forecast reliability, and make smarter decisions for inventory, staffing, and strategic planning
Retail forecasting looks at past sales, foot traffic, seasonal trends, and outside factors to predict how a store or product will perform in the future. At Unacast, we make these forecasts even stronger by adding real-world movement and visit data for better accuracy.
Demand forecasting is about predicting how much of a product or service customers will want in the future. It helps businesses plan inventory, staffing, and pricing more effectively.
To get more accurate forecasts, mix your own sales data with outside info like location trends, demographic changes, and foot traffic patterns. Tools like Unacast help make sure your predictions match what’s really happening in the market.
Good forecasting helps you avoid running out of stock or over-ordering. It makes sure you’re ready for customer demand and supports better planning for staffing, promotions, logistics, and budgeting.
Common forecasting methods include time-series analysis, regression models, and machine learning. Adding mobility data—like foot traffic and visit trends—can fill in gaps and give you a clearer picture that standard models might overlook.
Learn more about how Unacast collects and aggregates location data in a manner that meets all applicable laws and regulations, including GDPR and CCPA.
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