- Data confidentiality concerns limit the role of AI in electronic commerce, reveals the survey
- AI customer service still needs improvement
- AI in electronic commerce must prioritize the resolution of real problems
A survey omnism with 1,026 American respondents reveals that AIA assistants are increasingly common, most buyers still prefer to make purchase decisions themselves.
The study revealed that around 34% of consumers would allow AI tools to make purchases on their behalf, but that means that 2/3 of buyers would not do so, even if it meant getting a better deal. This reluctance highlights a gap between the growing presence of AI in electronic commerce and the confidence that consumers grant it.
Despite their hesitation, consumers recognize the AI capacity to improve purchasing experiences, with 38% of useful personalized products recommendations and 31% saying that it accelerates the process.
However, data security concerns shape consumer attitudes towards AI shopping assistants, with more than half of the concern about data mismanagement and 28% of expressing total distrust in business data practices.
Beyond data confidentiality problems, doubts about the efficiency of AI in purchases persist, with 39% of consumers abandoning purchases due to frustrating interactions such as inaccurate recommendations and a bad IA chatbot for commercial experiences.
In addition, 40% of buyers are frustrated by the lack of human support in AI customer service, while 21% find unreliable recommendations, strengthening the best live cat software and a human presence.
Almost half of the respondents have favored improved quality of service compared to automation, saying that AI should prioritize assistance to customer assistance to taking aggressive sales recommendations and purchasing decisions.
“Consumers are open to IA improvement to improve their purchasing experience, but there is a big difference between receiving personalized recommendations and putting full purchase control,” said Greg Zakowicz, SR.Mommerce expert at Omnisnd.
“The large -scale adoption of AI -based purchases requires a fundamental change in consumer behavior – and that does not happen anytime soon,” they said. “Buyers want to know exactly what they are buying, be it a size, a color or a brand. Confidence of an AI to make these decisions independently is a difficult sale.”
Retailers must fill the confidence gap between AI technology and consumer expectations by prioritizing transparency by providing clear information on data processing and allowing customers to keep a certain degree of control.
Take advantage of the best marketing service by email and the best social media management tools can also help brands communicate the advantages of AI while guaranteeing a more personalized and friendly approach.
“AI is a tool as good as the problems it solves,” said Zakowicz. “While companies take place to integrate AI into the purchasing experiences of their customers, they must be more focused on its qualities of problem solving in relation to its potential. Providing mediocre experiences, whether by AI or a human, will result in a loss of sales.”
