Understanding how a product gets into the hands of customers requires a broad and comprehensive view across the list of all the companies involved in the distribution process, from the factories to the last distributor to the final customer.
Location analytics allows businesses to map their entire supply chain, in order to identify all components that are part of the logistic processes.
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, location and foot traffic analytics are the best tool to do so.
Foot traffic data gives retailers a competitive advantage in site selection by helping to visualize how local market dynamics have changed over a long period of time, uncovering new opportunities and insights in real time that would not necessarily have been evident through more traditional or one-dimensional data sources.
Foot Traffic analytics can identify the characteristics of transit stops and routes, helping to determine and improve the overall coverage of any transit system.
When it comes to public transport, foot traffic analytics can be of great help to authorities, who are faced with various challenges such as road congestion and the diversity of modes of transport, among others. This poses difficulties for public transport managers and operators when it comes to planning.
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.
Retailers need to use predictive modeling and combine it with business, customer, and market data in order to forecast sales or new businesses profitability.
Predictive modelingis a highly effective way to identify a suitable area for expansion strategies, as it has become a vital tool for narrowing down hundreds of potential sites or even a single site. When a potential site is identified, it’s combined with additional layers of data to determine if it meets the model’s requirements, sales performance targets, and other critical factors for any business requirements. Read the full article here
Government and municipal entities can leverage location intelligence to optimize strategic planning, improve the quality of public services and optimize their budgets.
What type of solutions does location intelligence provide to governments
By incorporating location intelligence into urban planning, it becomes possible to develop infrastructure adapted to the needs of citizens, enhancing living conditions in any given city. In addition, spatial data helps to optimize costs and prioritize government administration projects.
What does location intelligence provide to urban planning?
Analytics through big data management techniques allows governments to understand the needs of their citizens, combat fraud, minimize system errors and improve operations, reducing costs and improving the services of any government entity.
Foot traffic analytics through geospatial data and Big Data enables governments and public sector organizations to deliver more efficient and secure services, as well as respond more quickly and accurately to the needs of customers and citizens.
The key to attracting potential customers to any new location is to determine its foot traffic potential, the use of geospatial data combined with footfall analytics makes the retail site selection process easier, faster, and more reliable.
At PREDIK Data-Driven we support corporations by optimizing their site selection strategies with 100% data-driven methodologies. One of our clients, a major regional footwear retail corporation, was able to determine in which shopping mall it was more convenient to open its first brick and mortar store, thus reducing investment risks and maximizing its revenues, having identified its potential customers and its target market in the malls.
In order to optimize advertising costs and maximize revenue, marketing leaders are using spatial data to create geofences in specific areas, allowing them to reach audiences that are more likely to become potential customers.
Location analytics is taking its place as a key tool for identifying what consumers want and need, regardless of their wealth or demographic status. COVID-19 has led to completely unexpected behavioral changes.
How can location intelligence help in the recovery of any type of business?
Micro-mobility analytics improve retailers’ expansion strategies by accurately identifying consumer demographics, understanding customer behavior, and understanding how their competitors are performing.
Micro-mobility is a methodology that combines geospatial data and foot-traffic analytics to solve several problems and improve site selection strategies by helping to understand how people move around specific brick n’ mortar locations, allowing companies to analyze movement patterns around specific locations, such as retail stores, to extract meaningful information.
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 otherwise be more difficult to recognize.
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 as other business processes for in-depth geographic analysis by providing demographic data on adjacent businesses, including competitors.
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 type of analysis has become a priority in the site selection process and expansion strategies.
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