How Artificial Intelligence Is Helping Retailers Bridge The Gap Between Online And Offline Data
(Photo by David Ryder/Getty Images) As fewer shoppers choose to frequent stores, retailers are looking for new ways to rejuvenate the shopping experience, whether through a wholesale reinvention of the retail space or by doubling down on efforts to send consumers targeted ads. To that end, retailers are increasingly turning to technologies such as artificial intelligence algorithms, messenger bots, and even robots, to gather data and improve the in-store experience for shoppers. To embrace technology, however, also means embracing data and all the challenges that come with it — namely, how to collect and store data in a way that is simple to access and easy to analyze. Data Collection Challenges It’s one thing to install beacons, sensors and other such technologies within a retail space, but it is quite another to actually go through the data that each piece of equipment is collecting. First, there’s the fact that different technologies measure different things: a beacon can track a customer’s movement, but a sensor placed on a shelf might be able to see which item a customer picks up and measure how long they hold it for. And because the beacon and the sensor are measuring different things, it makes it much…
Link to Full Article: How Artificial Intelligence Is Helping Retailers Bridge The Gap Between Online And Offline Data
Sharing
