- Data Privacy concerns limit AI’s role IE -trading, studies
- AI-driven customer service still needs improvement
- AI IE -Handel should prioritize solution of real problems
A omnisend survey of 1,026 US respondents reveals, while AI-driven assistants become more common, most customers still prefer to make purchase decisions themselves.
The study found that approx. 34% of consumers would allow AI tools to make purchases on their behalf, but that means 2/3 of shoppers would not, even if it meant a better deal. This reluctance highlights a gap between AIS growing presence IE trade and the consumers of trust in it.
Despite their hesitation, consumers recognize AI’s ability to improve shopping experiences, with 38% finding personal product recommendations useful and 31% say it is speeding up the process.
However, concerns about consumers’ attitudes to data security forms AI shopping assistants, with over half that care about data processing and 28%, expressing complete distrust of corporate data practice.
In addition to the concerns of data protection, doubts about AI’s effectiveness in shopping are persistent, with 39% of consumers giving up purchases due to frustrating interactions such as inaccurate recommendations and bad AI Chatbot for business experiences.
In addition, 40% of shoppers are frustrated with the lack of human support in AI-driven customer service, while 21% find AI recommendations unreliable, strengthening the need for the best live chat software and a human presence.
Almost half of the surveyed favored improved service quality rather than automation and thought that AI should prioritize helping with customer support in making aggressive sales recommendations and purchase decisions.
“Consumers are open to AI who improves their shopping experience, but there is a big difference between receiving personalized recommendations and handing over full purchasing control,” said Greg Zakowicz, SR. E -trading expert at Omnisend.
“Large scale adoption of AI-driven purchases requires a fundamental shift in consumer behavior and it doesn’t happen soon,” they said. “Buyers will know exactly what they buy, whether it’s a size, color or fire. To rely on an AI to make these decisions autonomously is a hard sale.”
Retailers must bridge the trust gap between AI technology and consumer expectations by prioritizing transparency by providing clear information on data processing and still allowing customers to maintain some degree of control.
Utilizing the best email marketing service and the best social media tools can also help brands communicate AI’s benefits while ensuring a more personal, consumer-friendly approach.
“AI is a tool that is only as good as the problems it solves,” Zakowicz said. “When companies run to integrate AI into their customers’ shopping experiences, they need to be more focused on its problem -solving qualities in relation to its potential. Giving bad experiences, whether of AI or a human being, will result in lost sales.”
