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 […]
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 […]
How to increase foot traffic in clothing stores?
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 […]
Competitor Analytics: Home Depot Vs. Lowe’s home improvement
Retailers are already implementing Big Data tools such as location intelligence 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. Footfall analytics, location intelligence, and POI analytics have revolutionized the way the retail and home improvement industries implement expansion, commercial and operational strategies. With these analytics, […]
Big Data to Estimate Competitors’ Turnover and Revenue
A competitive analysis begins by defining the target and its scope, exploiting different sets of structured and unstructured data available thanks to innovative tools that help to identify and measure competing brands and estimate their sales. With Big Data tools that help analyze large volumes of information like predictive models, location intelligence and mobility data, it’s possible to […]