POI analytics through Big Data techniques allows companies to understand an area of interest and thereby implement strategies, expansion models, and solutions within any business sector.
Information about a specific location or a set of similar locations can help companies make better decisions. Combined with additional contextual parameters such as human mobility, sociology, dynamics of an area, etc., POI data can be used to build meaningful information structures that enable more robust analysis and planning for expansion models.
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.
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.