How to measure foot traffic in a wholesale market?
Friday, November 12, 2021
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. 

This dataset has multiple uses and applications across industries, driving navigation systems (for mapping or applications such as food delivery, errands, online retail, etc.), urban planning and architecture, supply chainlogistics, transit management, etc.

Also Read: "Footfall analytics: Costco Wholesale Vs. Sam’s Club."

Businesses can use POI data to identify, locate and analyze shopping areas, evaluating new business opportunities, outperform their competitors by assessing their performance by observing traffic around and outside their retail outlets, and using alternative data to understand consumer behavior. In addition, they can evaluate their own performance and monitor the activity of their stores and compare them with those of their competitors, allowing them to take immediate action to maximize their results.



In PREDIK Data-Driven we conducted a detailed study where we characterized one of the largest wholesale and retail markets in the world, located in Mexico City, Mexico, during the month of February 2021. Read the full article here.

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