Site Forecasting in the Era of AI
Retailers need to understand store performance at finely granular levels only data analysis can provide.
While the site selection process has historically been an elegant art form, the power of A.I., machine learning, and predictive analytics continue to demonstrate that the future of retail leasing is a combination of art and science. Retailers need to understand store performance at finely granular levels only data analysis can provide. A.I. makes it possible to quickly filter through the hundreds of thousands of demographic, psychographic, competitive, financial, traffic, and other variables that can impact store performance. Through machine-learning algorithms and over 175,000 variables at the census-block level, you can find the best combinations that will create the most revenue for your next store.
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