Jan 13 2025
Data Analytics

NRF 2025: Retailers Can Deliver Smarter Product Information During the Shopping Journey

At this year’s conference and expo, experts said retailers need to learn consumer tastes with even more specificity.

The new consumer is here, and she wants her product info faster — not just when she types the word “wireless headphones” into her iPhone, but across all e-commerce and social commerce channels. Experts at NRF 2025: Retail’s Big Show, hosted at the Jacob K. Javits Convention Center in New York City January 12-14, said in-store associates should also know her purchasing behavior. A quick glance at a handheld device can give an employee a sense of her preferences.

“We need to be more specific. The consumer right now doesn’t want to be treated as a ‘segment.’ They want to be treated as an individual,” said Olivier Bron, CEO at Bloomingdale’s.

That’s why retailers must leverage their artificial intelligence (AI) insights to learn their consumers more intimately. Brands are adding keyword meta tagging on product pages and integrating videos into their websites to boost SEO rankings and enhance online visibility. This metadata brings shoppers closer to what they want in milliseconds.

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Consumer Insights Must Feel Personal, Not Invasive

These tactics accelerate engagement, but the consumer needs to still feel that she traded her “personal information for something worthwhile,” said CNBC senior retail reporter Courtney Reagan, whether that’s saved time, a feeling of relief or surprise or a sense of familiarity connecting with the brand.

In fact, 79% of consumers, particularly Gen Z and millennials, want meaningful interaction with brands, according to the 2023 Edelman Trust Barometer.

But there’s a fine line between creating curated shopper journeys and being creepy, and that’s exactly what retailers are wrestling with right now. “There’s a tug of war between privacy and personalization. And the reality is we owe the responsibility to make the delineation between a client and a transaction,” said Tony Spring, chairman and CEO at Macy’s.

Here are a few ways retailers can use AI-driven meta tagging and product searches thoughtfully:

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1. Use SEO Meta Tagging to Compete for the Consumer’s Attention

One non-invasive way retailers can meet their consumer faster is by adding keyword meta tagging to their product pages and videos on their websites and social platforms.

“Say someone is looking for a Kate Spade handbag, which is sold by many retailers. The user does a Google search. If your site is selling a Kate Spade handbag and you have videos there, you get more points, so you come up higher in the SEO ranking list,” said Gina Cox, senior retail advisor at CDW.

“People love videos, so they stay a little longer interacting with that product,” said Cox.

It’s also a strategic way for retailers to compete for the consumer’s interest. “No customer shops at a single retailer. They all have the advantage of shopping at many different retailers, and we, of course, all vigorously compete for those customers,” said Doug Herrington, CEO of Worldwide Amazon Stores.

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2. Pair AI-Driven Meta Tagging with Visual Search Capabilities

Retailers are pairing AI-driven meta tagging with visual search capabilities, allowing customers to upload images and find similar products. Meta tagging algorithms analyze visual elements such as color, texture and style, linking these features to product attributes.

For instance, a shopper can upload a picture of headphones into a search bar, and algorithms can identify and recommend similar items across a retailer’s inventory. Shoppers can also get creative by uploading, for example, a Polaroid camera from an antique store. The visual search can share the history of that product and where to buy a modern counterpart.

READ: Get a full rundown of what to expect from this year’s NRF 2025 expo.

3. Autodetect and Optimize Inventory Management

Retailers can also deploy AI-driven meta tagging to update product attributes based on inventory changes. For example, if a product runs out of stock in one size or color, metadata adjusts to reflect availability, ensuring customers only see options they can purchase. This improves the shopping experience by keeping search results accurate and up to date.

This collection of online information can also be accessed in-store. Vlad Rack, executive vice president and CTO at DICK'S Sporting Goods, explained how his store associates now use Samsung Android handheld devices to access real-time customer data and quickly assess inventory levels.

This handheld device is bringing store managers out on the floor, when they used to be in the back office. They are integrating with employees and building more customer relationships,” said Brad Haczynski, senior vice president and general manager of mobile experience at Samsung.

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4. Leverage AI-Driven Behavioral Analysis and Delayed Ad Targeting

A great deal of AI meta tagging and product information is tied to marketing. But retailers need to be careful about how they leverage consumer insights. Even consumers that agree to “opt in” to website cookies may feel their privacy is breached if a retailer is listening too closely.

Experts at NRF 2025 recommended a few alternative tactics. The first is behavioral context analysis. Rather than instantly triggering an ad based on a real-time signal (say a shopper mentions she is looking to buy a new laptop), the system could wait for additional supporting behaviors, such as browsing laptop-related content or visiting a tech retailer's website.

Time-delayed targeting is a tactic in which retailers set a rule to delay ad delivery by a few days or a week. For instance, after detecting the consumer’s potential interest, the system waits for a set period before showing a laptop ad. This makes the interaction feel less intrusive.

And finally, there’s progressive engagement. In this tactic, a retailer tempts the consumer’s appetite over time. Instead of showing a direct laptop ad immediately, the system can first display general tech-related content or educational resources about laptops, gradually leading to a specific product recommendation over time.

It’s as much a game of algorithms as it is human psychology. “It’s about us cultivating their relationship with the retailer,” Bron said. “And we have to be where the customer is at the moment they need us, with the right product and the right service.”

To learn more about NRF 2025, visit our conference page. You can also follow us on the social platform X at @BizTechMagazine to see behind-the-scenes moments.

Photography by Jason Dixson © NRF
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