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Projected U.S. online retail sales to surpass $1.1 trillion in the year 2023, according to research findings.

Online retail sales expansion rate predicted to decelerate below 10% in the coming years, as per FTI Consulting forecasts.

Escalating Online Sales Growth Sluggishness: Consulting Firm FTI Predicts Reduction to 10% or Lower...
Escalating Online Sales Growth Sluggishness: Consulting Firm FTI Predicts Reduction to 10% or Lower in Coming Years.

Merchandising Mirrors: Generational Preferences in E-commerce Personalization

Projected U.S. online retail sales to surpass $1.1 trillion in the year 2023, according to research findings.

The craving for customized experiences in e-commerce isn't universal. Here's a closer look at each generation's unique perspective:

  • Gen Z and Millennials: These digital natives crave convenience and seamless, personalized experiences. Over half (54%) of Gen Z and 50% of Millennials lean towards shopping methods reducing human interaction, such as online shopping and self-checkout[2]. They're game for tailored offers and recommendations, with 54% showing increased shopping frequency for personalized suggestions[5]. However, they're cautious about data privacy and want trade-offs that benefit them[5].
  • Gen X: Gen X consumers value a blend of personalized service and traditional shopping experiences. They appreciate loyalty programs and personalized service, emphasizing their preference for conventional loyalty methods[4].
  • Baby Boomers: Baby Boomers are less apt for AI-driven personalization. They favor traditional shopping experiences and exhibit lower interest in digital personalization techniques[2].

AI-Powered Personalization Boundaries

Around AI-powered personalization, several doubts persist:

  1. Data Privacy and Trust: Consumers across generations grow wary of potential data misuse. They seek transparency and assurances that their data is handled ethically[5]. The suspicion about companies using data for self-profit is mounting.
  2. Bias and Manipulation: There are concerns that AI algorithms may manipulate prices or generate biased content, which erodes trust in personalized systems[5].
  3. Loss of Control and Autonomy: Some shoppers worry that AI-driven personalization could restrict their product exploration and the discovery of fresh brands outside their usual preferences[3].
  4. Technology Dependence: There's a concern that becoming overly reliant on AI-powered personalization might lead to the erosion of human interaction and understanding in shopping, something valued by many consumers[2].

In a nutshell, while personalization appeals to all generations, there's a diversified level of interest and concerns regarding AI-driven personalization, with the younger demographic embracing digital personalization while also preserving caution about data usage.

The younger demographic, Gen Z and Millennials, are breaking new grounds in their acceptance of AI-driven personalization in business, showing increased shopping frequency for tailored offers and recommendations, yet cautious about data privacy. On the contrary, Baby Boomers, a more traditional cohort, lean towards conventional shopping experiences and exhibit less interest in digital personalization. In the AI industry, technology-driven personalization faces challenging boundaries, with concerns over data privacy and trust, bias and manipulation, loss of control, and technology dependence rising among consumers across generations.

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