These data-driven retail innovations range from purchase-predicting stores to clairvoyant shopping apps that curate personalized product lists for users. While some of the most popular predictive retail advancements include in-store beacons that are compatible with a shopper's taste and budget, other notable examples include location-based food ads that give fast food restaurant patrons access to exclusive deals in their area.
Other standouts include data-determined lingerie mannequins by Adore Me. The underwear brand used A/B testing in its latest ad, determining which models were most appealing to customers. Once polled, the most popular models were featured on the brand's website.
Furthermore, Woohoo.in utilizes mobile-responsive technology to let users access gift cards and vouchers through their smartphone, while American department store Target uses simple icons to make daunting data more comprehensive for online shoppers who prefer a convenient app over an in-store visit.
- Gen Z
- Gen Alpha
- Millennial (primary audience)
- Gen X (primary audience)
