Big Data is transforming the way leaders manage supply chains across all touch points, from manufacturing and provisioning to logistics and customer service.
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,
To ensure the success of branch expansion strategies for site selection plans, it’s necessary to compare the business model with the the potential market needs and build the corresponding strategy,
Foot Traffic analytics can identify the characteristics of transit stops and routes, helping to determine and improve the overall coverage of any transit system.
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
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.
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