Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion strategies.
Footfall analytics and POI characterization through Big Data are being used by different business sectors in order to make smarter business decisions and thereby maximize their revenues and optimize their costs.
Case Study: POI analysis of N1 City in Cape Town, South Africa
Foot traffic analytics and point-of-interest analytics help large chains supplying contractor-grade building materials and home improvement products measure footfall and understand consumer behavior patterns in any given zone of interest or point of sale.
Case Study
Foot traffic analytics: Builders Warehouse City Cape Town, South Africa
POI characterization through Big Data has become more frequent as it allows the implementation of strategies and site selection solutions within the various business sectors.
Leaders use these techniques to make more efficient and concise decisions that generate greater profitability by maximizing revenues and optimizing costs.
Case Study: Visitor profiling at Perisur, one of the most exclusive shopping malls in Mexico City.
Footfall analytics and POI characterization through Big Data are being used by retail industry leaders to make smarter business decisions, by maximizing revenue and optimizing costs.
Case Study: Footfall analysis of the largest Starbucks Coffe in Bangalore India
At PREDIK Data-Driven we conducted a detailed study of Starbucks Coffe, the largest physical store in Bangalore, India. Through a footfall analysis and POI characterization of the area and people who visited that establishment, we estimated the foot traffic, identified the most and least crowded places, classified the users who visit, live or work in the area, the observations per day, the most and least visited places by the establishment’s customers as well as their relative wealth index characteristics.
Pharmaceutical companies need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, sales, and the success of pharmacy franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Supermarkets can apply location intelligence techniques and footfall analytics to understand consumer mobility patterns, generate efficient site selection strategies, understand the performance of their stores, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail supermarkets have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Heat maps are used by retail giants to understand pedestrian and vehicular mobility patterns and thereby optimize their strategies for opening new points of sale.
At PREDIK Data-Drivenwe support global corporations in implementing a variety of expansion planning solutions.
Pet shop owners need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, sales, and the success of pet shops franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Identifying mobility patterns and classifying consumers within a point of sale or areas of interest helps large retail supermarkets measure foot traffic in and out of their stores while understanding the behavioral patterns of their consumers.
The correlation between foot traffic, visits, sales, and the success of retail supermarkets has been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
The heat map is one of the most useful and powerful data analysis tools in business intelligence. It provides a visualization feature that presents multiple pieces of data in a way that makes immediate sense by assigning a different size and color.
New geographic information systems (GIS) allow us to see our complex world in a new way. With the right data sets, heat maps can be produced that show how different factors vary from one area to another. In recent years, several organizations have developed dynamic mapping systems that allow users to choose areas, data layers, filters, and presentation features. Read the complete article here
One of the analytical tools that leading companies use to gather knowledge is heat maps. By creating a graphical representation of their data, new insights emerge, providing companies with the information they need to adapt their strategies and maximize their profits.
Heat maps measure the density of data in a given area. By representing density with colors, heat map data easily identifies the areas where information is most prevalent.
Retailers can apply location intelligence techniques and foot traffic analytics to understand consumer mobility patterns, measure foot traffic at each store, understand the performance of their outlets, and estimate competitor turnover.
The correlation between foot traffic visitation, sales, and the success of retail apparel franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Location Intelligence is transforming the way brands communicate with their current and potential customers, maximizing marketing campaigns and optimizing costs.
Location analytics leverages and enhances marketing campaigns by providing faster and deeper insights to your customers.
Mobility analytics and location intelligence play an important role in business by helping to understand the behavioral patterns of consumers in any given zone of interest or point of sale.
Pedestrian flow analysis, location intelligence and point-of-interest categorization have revolutionized the way retail and wholesale industries implement expansion, commercial and operational strategies in the pharmaceutical sector.