Everyone is talking about AI shopping assistants. Chatbots that build carts. Digital agents that compare products. Conversational tools that promise to shop on behalf of customers.
It sounds impressive. But there is a problem: shoppers are not impressed by AI for its own sake.
They want useful recommendations.
And when those recommendations are wrong, they leave. 69% of shoppers have abandoned their search entirely after receiving irrelevant suggestions. That is not a minor technical issue. It is a direct warning to retailers: one bad AI experience can cost the entire sale.
Consumers Want Help, Not Hype
The appetite for AI-powered shopping is real:
- 66% of consumers in the US and UK have used or are open to using conversational AI assistants for shopping.
- 20% have already used tools such as ChatGPT or Gemini to find products.
- 13% have interacted with an AI assistant on a brand website.
But openness does not equal unconditional trust. Consumers will try AI once. They will return only if it helps them find something relevant, save time, or make a better decision.
That puts retailers at a crossroads. Should they rush to launch an AI assistant, or focus on getting product recommendations right first? The answer may be less glamorous, but it is far more effective.
The Best AI Experience May Not Look Like AI
Discount alerts attract 59% of consumers. Personalized product recommendations appeal to 51%. Gift inspiration interests 44%.
These features may not sound revolutionary, but they solve real shopping problems. They reduce effort, remove uncertainty, and help customers discover products they are more likely to want.
Product bundles and complementary-item recommendations are even more compelling, attracting interest from 61% of consumers overall and 88% of people who already use AI shopping tools.
The lesson is simple: consumers do not necessarily want a machine to take over the entire shopping journey. They want the journey to become easier.
That is why regular product recommendations powered by a strong recommendation engine may be more acceptable and more effective than a fully autonomous AI shopping assistant.
A well-timed recommendation on a product page, in an email, or during search can improve the experience without interrupting it. Customers remain in control, while the retailer provides useful guidance at exactly the right moment.
Consumers are not waiting for retailers to give them a futuristic shopping robot. They are waiting for brands to understand what they want.
Check out what really works: Quarticon’s product recommenation engine for e-commerce.
Research Source: https://www.emarketer.com/content/ai-retail-interest-high-poor-execution-driving-abandonment
