Location intelligence and footfall analytics can be valuable tools for wholesale distributors to maximize their revenue, optimize their processes and choose the best distribution routes for their pickup and last-mile delivery processes.
The correlation between foot traffic patterns, visitation, sales, and the success of wholesale food distribution companies has been studied and proven, so the development of this type of analysis has become a priority in the process of site selection, supply chain process optimization, and expansion modeling.
Retail home improvement franchises need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, visits, sales, and the success of hardware home improvement franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
Location intelligence through techniques based on Big Data collects spatial data in order to improve the decisions made in logistics centers, allowing the use of location and its related data points, creating solutions and optimizing distribution routes.
This new technological tool finds its immediate application in space-dependent businesses, such as delivery and logistics companies. The data collected through infrastructure sensors, cameras and traffic mapping not only allows them to determine the best locations for their businesses, warehouses and centers, but also allows them to know why certain locations have a direct impact on the success or failure of a business.
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 type of analysis has become a priority in the site selection process and expansion modeling.
Foot traffic and location analytics help wholesale distributors maximize profits, allowing them to reveal where operational inefficiencies are and then implement solutions in problem areas.
With Big Data management techniques, companies can optimize their strategic business planning, by taking advantage of market and companies' data.
Big data has emerged as a powerful tool that organizations can use to leverage data-driven decision making for better strategic planning, determine which market niches of their products, are growing or shrinking, obtain traffic data of their stores or website, determining where they come from, what kind of devices they use, dwell time, and foot traffic patterns to help analyze which promotions and efforts are successfully driving their business.
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.
Location Intelligence is transforming the way brands communicate with their current and potential customers, maximizing marketing campaigns and optimizing costs.
Location analytics leverages and enhances marketing campaigns by providing faster and deeper insights to your customers.
In order to research and evaluate real estate investment opportunities for commercial, industrial or hospitality use, it is important to consider all social and economic factors in a given area in order to make an informed investment.
Researching and evaluating real estate investment opportunities is not a piece of cake. Whether it is the valuation of a retail or hospitality investment space, it is crucial to take into account all the socio-economic factors of the area in question to ensure a high return.
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.
The supply chain crisis has resulted in restaurant chains and fast food outlets running out of key ingredients (e.g.
Mobility analytics and location intelligence play an important role in business by helping to understand the behavioral patterns of consumers in any given zone of interest or point of sale.
Pedestrian flow analysis, location intelligence and point-of-interest categorization have revolutionized the way retail and wholesale industries implement expansion, commercial and operational strategies in the pharmaceutical sector.
Big Data technological tools and spatial data play a very important role in business by measuring footfall and helping to understand consumer behavior patterns in any given area of interest or point of sale.
Several companies, especially in the retail sector, have realized that they need to challenge traditional last-mile delivery solutions in light of recent advances in technology tools.
With the help of location intelligence that gives access to aerial, satellite imagery and high-definition maps, last-mile delivery processes can evolve to the degree that drivers can avoid traffic and expedite deliveries through predictive alerts, fleet managers can focus on planning delivery routes more efficiently based on fuel costs, travel time, road tolls, etc.
Analytics based on Big Data allows mall operators to maximize revenues and visits by better selecting tenants, optimizing mall design, determining rents, establishing signage and advertising campaigns, etc.
New technological tools allow mall operators to measure the number of consumers spending in and out of stores, the time they spend in and out of stores, know their relative wealth index and understand visitor behavior patterns, helping to determine the best mix of stores, site infrastructure, rent price range and implement more efficient signage and advertising.
Understanding consumer mobility patterns is critical for all types of businesses. Big Data tools, spatial data, and anonymized and aggregated mobility data play a very important role in these analyses, as they enable the measurement of foot traffic and consumer behavior patterns in any given area or point of interest.
Foot traffic analytics, location intelligence, and point-of-sale categorization have revolutionized the way retailers implement expansion models, commercial and operational strategies in the supermarket franchise focused on more organically sourced products.