Smart, efficient, and anonymous People Counters & Analytics for the real world.
Our solution allows for simple deployment, capture, and analysis of the number of people that enter a physical location. Optionally we also capture and report occupancy in real-time.
We help Retailers, Libraries, Casinos, Universities, Places of worship, Office buildings, and other industries to analyze and take action on their people traffic trend.
For Retailers, we offer a specialized package to measure Performance on Traffic, including Conversion Rate and Service Levels. Combining POS data and staff data is easy with our direct integrations. Our Retail Equation simulator allows users to run simulations to plan sales improvement. It is also extremely beneficial as a learning tool to understand the relationship between traffic, staffing, conversion rate, and good quality service.
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Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities.
Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity.
Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors.
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BestPlace
BestPlace is an AI-powered predictive geo-analytical platform designed to help businesses identify optimal locations, forecast performance, and understand consumer behavior using large-scale data analysis. It aggregates and processes multiple data sources, including population density, mobility patterns, purchasing behavior, and geographic factors, to deliver a comprehensive view of how people interact with physical spaces. It enables companies to evaluate potential sites by predicting revenue, foot traffic, and audience coverage at a granular level, allowing decision-makers to compare locations and assess their business potential before investing. It uses machine learning models to analyze more than 60 variables, such as accessibility, infrastructure, and surrounding competition, to generate accurate forecasts and actionable recommendations. By transforming complex datasets into clear insights, BestPlace replaces manual research methods and spreadsheet-based analysis.
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