Should I expand my stores to other cities in 2022?
Retail store expansion strategies are one of the most fundamental issues for growing retailers. Opening a new store can be a game changer if you get the location right, or your new store could be doomed to failure if the location doesn’t attract enough customers. In addition to geographical factors, such as transportation accessibility and […]
Branch expansion with predictive analytics
Predictive, location, and foot traffic analytics reveal valuable information that helps retailers to choose the right location when setting up geographic expansion strategies. How are predictive analytics models used to determine the optimal location for a new facility? Predictive analytics is a type of statistical analysis that uses data mining, statistical modeling and machine learning […]
Foot Traffic Study: Blue Route Mall Vs. Table Bay Mall
Location and foot traffic analytics are transforming the way retail expansion strategies and competitive advantages are defined in shopping centers. Case Study: Blue Route Mall Vs. Table Bay Mall At PREDIK Data-Driven we conducted a comparative study of two shopping malls in the city of Cape Town, South Africa: Blue Route Mall , which contains distinguished brands such […]
Footfall analysis of a historical site in Mexico City
Footfall analytics based on Big Data techniques allow businesses to understand a point of interest and with it, implement strategies, expansion strategy models and solutions within retail and wholesale markets, helping leaders to make better decisions based on mobility patterns. At PREDIK Data-Driven we conducted a detailed study of La Plaza de la Constitución, informally […]
Footfall analytics for site selection strategies
The secret to site selection in such a competitive market is based on the ability to analyze the right data and be able to understand and interpret the site selection strategies of nearby locations to stay ahead of their expansion plans and gain a competitive advantage. Where? This is the fundamental question that guides any […]
Retail footfall analytics: Media Markt
Foot traffic analytics and point-of-interest analytics help large consumer electronics retailers measure mobility and understand consumer behavior patterns in any given zone of interest or point of sale. Case Study: Media Markt in Madrid At PREDIK Data-Driven we conducted a detailed study of a retail franchise store dedicated to the sale of consumer electronics products […]
Predictive models for maintenance services
Predictive maintenance based on big data and geospatial data seeks to define the best time to perform work on an asset, so that maintenance frequency is as low as possible and reliability is as high as possible without unnecessary costs. Maintenance teams are beginning to embrace the use of big data and predictive modeling to […]
Uses and applications of Big Data for Deliveries
Delivery companies leverage location intelligence to have better market capture and maximize customer experience. More and more businesses are getting into the product delivery business. This quest, in turn, has led them to need location intelligence, as it allows them to measure and control various factors critical to the success of their business, or their […]
Location Intelligence to build smart cities
Leveraging current and historical data on location movements allows urban planners to understand current challenges and build smart, flexible and efficient cities. As more cities begin to implement smart city planning based on data science, location intelligence insights help shape policies that will benefit neighborhoods and the people who live in them. Smart cities embrace […]
Case Study: Site selection Model for retail stores
Learn how a retail clothing franchise used a predictive model to optimize its expansion strategy and identify the most suitable areas for the opening of new brick-and-mortar stores. Foot traffic analytics combined with predictive models allow retail businesses to analyze different potential areas for the new stores and predict the behavior of their customers inside and outside […]