Foot traffic in pharmacies: CVS Pharmacy Vs. Walgreens (Case Study)
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. Foot traffic analytics and location intelligence are two powerful tools. They provide valuable insights into people’s movements, behaviors, and preferences in specific geographical areas. What is foot […]
Footfall analytics: Walmart Vs. Kroger, US
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 […]
Location intelligence for Retail Expansion Plans: Case Study
Companies rely on the efficient use of big data and location intelligence techniques as the axis of all their decision-making process, reducing the risks of new investments associated with expansion plans, site selection, or new store openings. At PREDIK Data-Driven we support global corporations to optimize their expansion strategies with 100% data-driven methodologies. One of […]
Retail analytics: PETCO Vs. PetSmart
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 […]
Foot traffic Analytics in Department Stores
Location intelligence and foot traffic analytics are transforming the way retail strategies are defined, and department stores are no exception. The correlation between foot traffic, sales, and the success of department stores have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and […]
Footfall analytics: Woolworths Food Vs Shoprite South Africa
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 […]
Foot traffic analytics: OfficeMax Vs. Office DEPOT stores
Understanding mobility and identifying points of interest help large retail office products suppliers to measure foot traffic in and out of their stores and to better comprehend the behavioral patterns of consumers. The correlation between foot traffic, visits, sales, and the success of retail office products suppliers has been studied and proven, so the development […]
How to measure foot traffic in a wholesale market?
POI analytics through Big Data techniques allows companies to understand an area of interest and thereby implement strategies, expansion models, and solutions within any business sector. Information about a specific location or a set of similar locations can help companies make better decision-making. Combined with additional contextual parameters such as human mobility, sociology, dynamics of […]
Footfall analytics for wholesalers: Sysco Vs. US foods
Location intelligence and footfall analytics can be valuable tools for wholesale distributors to maximize their revenue, optimize their processes and choose the best distribution routes for their pickup and last-mile delivery processes. The correlation between foot traffic patterns, visitation, sales, and the success of wholesale food distribution companies has been studied and proven, so the […]
POI Analytics: Uses and Applications
POI analytics has become a vital business intelligence process for any company, since, by aggregating multiple data layers, a much more representative view of customer behavior patterns at a point of interest is generated. POI analytics allows you to select a point or area of interest that, when related to different data layers, allows businesses to generate enriched […]