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Data Shows Customers Might be Resistant to AI Shopping Recommendations — Here’s what C-Suite Executives Should Know

Retail TouchPoints

The technology, it turns out, largely functions as promised: AI is in fact quite good at making personalized recommendations. Meanwhile, 60% said they would be unaffected by AI recommendations. The problem is, consumers don’t seem to want them. But branding may also play a significant role here.

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AI-Generated Product Recommendations Power Amazon’s Fall Prime Event

Retail TouchPoints

Sales during Amazon ’s Prime Big Deal Days, the now-annual fall member sale event, were significant but essentially flat compared to last year when the sale debuted, according to data from Salesforce. AI-Enabled Product Recommendations Boost Health and Beauty Categories AI played a significant role in U.S. In the U.S.,

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Ecommerce’s AI Playbook: Data, Personalization and Scalability

Retail TouchPoints

Data Quality is Critical Successfully selling products online requires that companies produce, consume and make sense of a massive amount of data. It can process data to identify matches, recognize patterns and take action 50 times faster than humans. Without reliable data, AI outcomes can be skewed or ineffective.

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How Retailers can use Digital Product Strategy to Improve CX and Fuel Growth

Retail TouchPoints

The real opportunity lies in using your digital product strategy as a way of improving the customer experience (CX) and finding new growth opportunities. Use Existing Data and Research to Find New Revenue Streams Launching a new revenue stream can be costly, risky and time-consuming. Skin Rocks took a similar approach.

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Klarna Adds Login that Gives Consumers Control Over Which Data Points They Share

Retail TouchPoints

The service enables consumers to choose which data they share with the merchant, such as purchase histories that would enable more personalized product recommendations based on interests as well as sizes, style and color preferences for clothing. The service is now available in the U.S.,

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Maximizing Profitability: How to Improve 4 Key Areas of the CPG Product Lifecycle

Retail TouchPoints

These are important steps, but they often only rely on one-time data analysis (i.e. Better and more meaningful data can often be gathered on the backend to respond directly to consumer behavior and help improve the product’s performance. Here are four benefits of using data to optimize the backend of your product life cycle: 1.

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How Ecommerce Businesses Can Take Advantage of Data Labeling

Retail TouchPoints

Accurate search results and personalized recommendations are undisputedly the bedrock of modern ecommerce. To make all of this possible — from search query relevance to ranking models and recommendation engines — machine learning (ML) is utilized. Data Labeling. Recommendation of complementary items.

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