A September 2018 survey conducted by private software company Qualtrics looked at the variety of reasons that US consumers are driven away from in-store shopping. Though the greatest number of respondents (42%) named "rude employees" as a reason to shop elsewhere, disorganization (17%), out-of-stock items and long checkout lines (both 12%) were also cited.
Additionally, nearly one-third of US grocery buyers said they’d quit a long line in search of a better checkout experience, while 11% would abandon a purchase entirely in the same situation, per an April 2018 Digimarc survey conducted by Forrester Consulting.
Automation is one possible solution to these customer woes—according to the Capgemini study. When asked if the technology could help solve some in-store shopping issues, most respondents agreed. For example, two-thirds of adults said they believed that automation would make long lines less of a problem, and nearly as many felt the same way about the technology helping them locate products in-store.
Many retailers are planning to invest in emerging tech like machine learning and AI this year. In a May 2019 study conducted by Isobar, 29% of companies worldwide said they were currently using AI to help streamline customer experiences, and another 46% said they anticipated using the technology in the future.
According to Mario Ciabarra, founder and CEO of digital intelligence platform Quantum Metric, automation and machine learning will continue to play a big role in the retail space, especially as it pertains to customer experiences.
“When you think about a retailer in-store, [the technology] can actually watch a customer try to reach items on the top shelf and struggle, and then move those hot items from the top to the bottom shelf,” he said.