There’s no doubt about it: AI technology is fundamentally reshaping the world of online shopping. So much so, in fact, that it seems as though we’re living through a digital revolution
changing the game for customers and marketers alike.
Which also means that those who adapt to the revolution are going to be the ones that not only survive but succeed.
While
personalization and smart curation are nothing new, recent innovations show a clear leap toward making the shopping experience more tailored and convenient than ever before. AI is now streamlining the
entire process, sparing customers from the tiresome task of browsing through countless pages and feeling overwhelmed by choices by frontloading exactly what consumers might be inclined to purchase,
while surfacing products and inspiration they might not have found otherwise.
How does this work? By exploring vast data sets collected from customer search, buyer behaviors and purchase
histories, AI pieces together a variety of different data points to generate precise results that cater to individual preferences, then refines its learning based on your engagement in the
recommendations it makes.
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Amazon’s Prime Day showcased its significant investment in bringing deeply personalized shopping experiences to customers on a global scale. For one, it
introduced features such as “deals inspired by your history,” “deals related to your views,” and “recommended deals in XX category”—all meant to demonstrate
just how closely the ecommerce giant watched you!
Here’s another case in point. Consumers now have access to virtual try-ons that offer a highly personalized experience, allowing them to
make adjustments like modifying skin tone, contributing to a more accurate assessment of how products will look on them.
Let’s talk strategy. For one, personalized recommendations
designed for each individual shopper will increasingly be key to overall ecommerce success. Retailers must seamlessly weave these personalized suggestions into the shopping experience to become a
favored shopping destination for consumers in the coming years.
AI now plays a major role in how we market to consumers. Google, Meta, Amazon and other ad platforms are now harnessing the vast
data sets they have to reach consumers in increasingly sophisticated ways.
Crucially, AI prediction is also now being used to fill data gaps that have appeared as a result of the depreciation
of tracking technologies like cookies. When it comes to improving user experience, AI is a win-win, with retailers now using smart sizing, fit and style recommendations to decrease the likelihood of
returns.
Marketers should also take into account the impact of Search Generative AI and the evolving interactivity and intuitiveness of the Search Engine Results Page (SERP) tailored to
consumer needs. This transformation will influence the type of data we provide to the AI, and consequently reshape the look of our ads. As Google begins to integrate ads into user conversations within
the SERP, the dynamics of how our ads are presented will necessarily undergo a significant shift.
Retailers that explore, test and adopt AI the fastest will be the winners in this new
age of ecommerce.