xyzt.ai, a Leuven-based technology start-up offering an innovative visual analytics SaaS platform for big location data, announces that it is a data visualization partner of Start.io, the primary mobile data platform.
Start.io is a mobile data platform that allows to uncover insights and make data-driven decisions that enhance strategies and drive growth. It enables retailers to explore consumer behavioral data and foot traffic patterns so that they better understand where to open new locations, what products to offer, and how to attract customers.
Over the past years you see in every city, in every country many buildings vacated and up for rent, buildings that used to house successful retail stores. The rise of online shopping, increased price sensitivity, and sustainability focus of Millennials and Gen Zers in the last decade all are putting severe pressure on retail.
And then came COVID-19. COVID-19 further accelerates the need for change in the traditional success model of brick-and-mortar businesses. The retail business can no longer blindly rely on what for decades was a winning model for growth. The brand equity that many of them built up in the past through the exploitation of flagship stores in main shopping streets, is no longer a reality.
So how can retailers survive and set out a winning strategy for recovery? By changing the operating model and embracing digitalization and marketing precision. The growing availability of alternative data sources, such as mobile data, and the proliferation of self-service analytics tools will play a key role in the recovery of the business. There is no need any more for retailers to hire expensive consultant companies to obtain the needed insights. The data and tools are easily available.
xyzt.ai and start.io will help retailers by providing them with hyper local mobile data and a self-service analytics platform so they can precisely analyze the impact of COVID-19 and the change in consumer behavior and easily extract the insights and make decisions for growth. Should they move their shop? Should they change their messaging or offering based on the audience? Should they research new business models to reach their customers? All those questions are now easy to answer, based on relevant data.
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