Location intelligence to optimize commercial strategies

Location analytics rely on anonymized geospatial data from mobile devices, which can be used to gather information on foot traffic trends and typical profiles of consumers visiting a specific area or zone. Location intelligence collects and analyzes competitive data, helping to gain a deep understanding of customers, market, and competitor strategy, identifying opportunities that would […]

Location analytics to improve shopping centers performance

Location intelligence is a key tool that shopping center managers should use since, via people’s location and mobility data, they gain valuable insights such as how much time consumers spend in stores and how often they visit. Shopping centers can use this technology to collect geospatial data sets, transaction history, and point-of-sale data, as well […]

Starbucks and Seattle Coffee Company foot traffic comparison

Coffee shop owners need to apply location intelligence and mobility analytics techniques to identify consumer behavior patterns, in order to maximize sales and generate more efficient expansion models. Case Study Foot traffic comparison: Starbucks Cavendish Square y Seattle Coffee Company Salt River, Cape Town, South Africa At PREDIK Data-Driven conducted a mobility study around two […]

Foot traffic analytics in Spain: McDonald’s Vs. Carls Jr.

Foot traffic analytics have revolutionized the way retailers implement site selection, commercial and operational strategies in the quick-service restaurant franchise market. The correlation between location and footfall analytics, visits, sales, and the success of retail fast-food franchises have been studied and proven, so the development of this type of analysis has become a priority in […]

POI Analytics: Vega City Mall Bangalore

By applying POI analytics through spatial data, shopping centers can measure foot traffic and understand consumer behavioral patterns. Leaders use these techniques to make more efficient and concise decisions that generate greater profitability by maximizing revenue and optimizing costs. Case Study: POI Analysis of Vega City Mall in Bangalore, India At PREDIK Data-Driven we conducted a […]

Location intelligence: Measuring footfall in malls

Foot traffic analytics and point-of-interest analytics help shopping malls to understand consumer behavior patterns in any given zone of interest or point of sale. Case Study Foot traffic analytics: Miraflores Plaza Mall, Guatemala City At PREDIK Data-Driven we conducted a POI and foot traffic analysis of a popular shopping mall in the city of Guatemala: Miraflores, which contains […]

How to avoid delays in supply chain processes with Big Data?

The current global crisis in supply chains is forcing companies to manage their distribution methods by adopting a proactive approach based on Big Data and advanced analytics. Most supply chain delays do not occur when goods are in motion between suppliers and locations. Instead, delays typically occur in handoffs between organizations and suppliers There are […]

Benefits of supply chain mapping with Big Data

Location intelligence through spatial data allows leaders to create a detailed supply chain mapping and thereby identify opportunities and mitigate distribution risks for any company. Supply chain mapping through spatial data and Big Data techniques allows leaders to implement strategies to react promptly when a supplier faces a shortage, a loss of goods, a surge […]

Foot traffic in South Africa shopping malls

Location intelligence and foot traffic analytics are transforming the way retail strategies are defined, and shopping malls are no exception. The correlation between foot traffic, sales, and the success of shopping malls have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and […]

Solutions with Big Data and Micro-mobility analytics

Matching demand and supply is the basis of the business model of any company whose operations depend on micro-mobility, since for every unit of demand that is not satisfied, an order is lost, leading to loss of profits and customer loyalty. All companies that rely on micro-mobility can better manage their assets by improving their […]