Walmart’s AI Fashion Tool | Trend to Product Speeds Up Design by 18 Weeks

Summary

Omni Talk Retail Podcast Summary

Episode: Walmart’s AI Fashion Tool | Trend to Product Speeds Up Design by 18 Weeks
Release Date: April 18, 2025
Host/Author: Omni Talk Retail
Guests: Chris Walton (Speaker A) and Anne Mezzenga (Speaker B)

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Introduction to Walmart’s Trend to Product Tool

In this episode of Omni Talk Retail, hosts Chris Walton and Anne Mezzenga delve into Walmart's groundbreaking AI-driven fashion tool, Trend to Product. Announced via a press release, this innovative tool leverages artificial intelligence and generative AI technologies to revolutionize Walmart's fashion design process.

Chris Walton (00:00):
"Walmart has a new trend sensing design tool that uses AI and generative AI to bring on-trend affordable items to the retailer faster than ever before and without compromising quality."

How Trend to Product Works

Trend to Product is designed to streamline the research and design phases of fashion creation. By analyzing and synthesizing global data and trends from various sources, including the Internet and tastemakers, the tool facilitates the generation of mood boards filled with collection names, colors, textures, and ideas. This accelerated process reportedly reduces the traditional production timeline by 18 weeks.

Chris Walton (00:45):
"It takes the research and design phase from weeks to minutes and then uses generative AI to create mood boards replete with collection names, colors, textures, and ideas."

Following the AI-generated mood boards, designers and merchants refine these concepts based on sales data and their expertise to develop the final product lines. The tool culminates by producing a detailed fashion tech pack that guides suppliers in manufacturing each item, ensuring consistency and quality across Walmart's extensive retail network.

Benefits and Enthusiasm for Trend to Product

Anne Mezzenga expresses strong support for the tool, highlighting its potential to eliminate tedious manual processes and enhance creative efficiency. Mary emphasizes how Trend to Product can consolidate disparate trend inputs from various creative directors, enabling quicker decision-making and trend validation.

Anne Mezzenga (01:23):
"I love this for the points of putting those mood boards together. Like there were five different creative directors that each had their own Pinterest boards that were like sharing these. It was all like a very, a very manual process."

Additionally, Anne points out that Walmart can diversify its product offerings by experimenting with trendier items targeted at specific demographics, such as higher-income shoppers who frequent Walmart for their grocery needs. This strategic move allows Walmart to capture immediate market opportunities without straying from its core value proposition of affordable, high-quality basics.

Anne Mezzenga (02:10):
"It also allows them to start to test in some smaller ways more on-trend items that may specifically roll out to certain locations of Walmart... to capture someone in that moment who may not have been planning on buying that like spring dress, but probably will now when they see the price point and just how trend-forward Walmart is when they least expected it."

Cautions and Potential Challenges

While Anne is enthusiastic, Chris offers a more cautious perspective. He acknowledges the tool's benefits but warns about potential pitfalls associated with its implementation. Chris emphasizes the importance of clear use cases, stressing that Trend to Product primarily enhances the front-end design and collaboration processes without affecting production speeds.

Chris Walton (03:32):
"I agree with you on the first part, but the second part I'm a little more cautious... you got to be smart about how you use it."

He raises concerns about the risk of AI burnout, where the ability to produce designs rapidly could overwhelm teams and lead to diminished focus on strategic priorities. Chris advises that while the tool accelerates idea generation, it's crucial to balance this newfound efficiency with thoughtful decision-making to avoid distraction from Walmart's main objectives.

Chris Walton (05:58):
"You're going to burn people out too. Like, because AI burnout is real... you can keep designing, you can keep buying. And that's a problem."

Strategic Implementation Recommendations

Anne agrees with Chris's cautions, underscoring the need for Walmart to manage the influx of information and maintain focus amidst the enhanced capabilities provided by the AI tool. She highlights the importance of filtering relevant trends and prioritizing significant bets to ensure that Trend to Product serves its intended purpose without leading to strategic drift.

Anne Mezzenga (06:29):
"You got to think about it... Be smart about how you use this."

Conclusion

The discussion between Chris and Anne presents a balanced view of Walmart's Trend to Product tool. While the AI-driven approach promises significant enhancements in speed and efficiency, it also necessitates careful implementation to maximize benefits and mitigate potential challenges. As Walmart integrates this technology, strategic oversight will be essential to harness its full potential without compromising the brand's core values and long-term objectives.

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Notable Quotes:

• "Walmart has a new trend sensing design tool that uses AI and generative AI to bring on-trend affordable items to the retailer faster than ever before and without compromising quality." — Chris Walton (00:00)

• "I love this for the points of putting those mood boards together... It was all like a very, a very manual process." — Anne Mezzenga (01:23)

• "You're going to burn people out too. Like, because AI burnout is real... you can keep designing, you can keep buying. And that's a problem." — Chris Walton (05:58)

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This episode provides valuable insights into how large retailers like Walmart are leveraging AI to stay ahead in the competitive fashion industry. By balancing enthusiasm with caution, Chris and Anne offer a comprehensive analysis that is beneficial for retailers, designers, and industry observers alike.

Transcript

[A]

Walmart has a new trend sensing design tool that uses AI and generative AI to bring on trend affordable items to the retailer faster than ever before and without compromising quality. And if that sounded like it was grabbed from a press release, that's because it was. According to a Walmart press release, the new tool dubbed Quote Trend to Product uses AI and generative AI to analyze and synthesize global data and trends, pulling information from the Internet and tastemakers to power the Walmart fashion team in creating on trend high quality items with greater speed. It takes the research and design phase from weeks to minutes and then uses generative AI to create mood boards replete with collection names, colors, textures and ideas. Extra points for dropping replete into your press release, Walmart. From there, the designer and merchants refine the mood boards, look at, sell through data and lean on their own experience to create the final pieces that will form the collection. Then as the final step, Trend to Product generates a fashion tech pack for the collection which instructs suppliers on exactly how to make each item. All told, Walmart claims the Trend to Product claims that Trend to Product shortens the traditional production timeline for Walmart fashion by as much as 18 weeks. Sounds like it's mostly on the front end of the process. And are you buying or selling Walmart's new trend to product gen AI tool?

[B]

I'm, I'm buying for two reasons. The first reason is that when I was at Target we, I worked on a lot of the teams that were kind of coming up with some of these new products and then we're helping kind of figure out the marketing plans as, as Target was growing new brands like Pillow for it for example. And just the, I love this because I think it's a great use case here for where I can step in and help cut down a process that was very manual and very tedious. And so I love this for the points of putting those mood boards together. Like there were five different creative directors that each had their own Pinterest boards that were like sharing these. It was all like a very, a very manual process. And I think that this will help consolidate those trends that each one of those creative directors are seeing and really start to get things rolling more quickly and give them a quicker like swipe left or swipe right if this is kind of the trend that we're all leaning towards. So I love that part of it. But second, I also think that this is a great way for Walmart to be able to start to kind of break off from the, the like affordable Apparel that they're providing for all, you know, for the rest of the country that, that like dependable, low price, good quality basics product that they're putting out there. But it also allows them to start to test in some smaller ways more on trend items that maybe will specifically roll out to certain locations of Walmart like that we're seeing them do with a scoop line right now to really like double down on getting appealing fashion product for that new higher income shopper that is now drawing into Walmart and is doing, placing their, their grocery order on Walmart. Plus I think this is a place where they can get that trendier product to market faster, to kind of capture someone in that moment who may not have been planning on buying that like spring dress, but probably will now when they see the price point and just how, how trend forward Walmart is when they, they least expected it. But what do you think? Are you buying? Are you selling? Where are you?

[A]

Yeah, I'm buy, I'm buying the, the idea and the tool itself. But I'm, I'm a ca. I'm a little more cautious on it than you are. I agree, I agree with you on the first part, but the second part I'm a little more cautious. So. And I think we have to be very clear on the use case too. This is basically a tool for idea generation to speed up the process for merchants to design and collaborate on the line development. So it's all the front end, you know, it doesn't speed up anything on the production side. So is that needed? Yes, 100% like you said. Yeah. And I being in home and merchandising for many, many years, I sat in many of those meetings where you know, concepting was done and it's just, it's just a, it's just a really laborious process and, but still this could be adjustment for people to get used to, particularly on the design side because they're having to like, you know, figure out how to use this and change their processes. Some people are going to gravitate towards it, some people are not. But you know, at the end of the day it's good because it gives them more time to read and identify market trends before determining what bets to place either what bets are going to place before rolling out to almost 4,000 plus stores. Right. Like that's a really big bet. But I think as well there's things to be cautious about because you could also use it in the online space like you said, which you can do small batch runs and you could use it for that too. You could do it for store tests. But I think you gotta be cautious about it because if you run too willy nilly with this, if you just have your design teams and your merchants looking at all this crazy new product, they're going to get distracted by the shiny penny of all the crazy new product in the online space particularly. And that's going to be, it's going to be distracting. But the other part about it too is you've got to, you got to make sure that you're portioning out your time against what's most important in terms of the bigger bets that you're going to place in store. So you got to make sure Denise and Cadella, who's listening in her team, who listens to our show, you know, you got to make that you don't take your eye off the ball in terms of using this and portion it out in the right way to make sure your bets are placed right. Because the other part I worry about too is if you get too crazy, you're too willy nilly, particularly designing for the test, designing for the online space. You're going to burn people out too. Like, because AI burnout is real. I can tell you that firsthand. You can do so much, so much faster that you're like, oh my God, I have extra time. I can just keep designing, I can keep designing, I can keep designing, I can keep buying, I can keep buying. And that's a problem. So, so that, that's why I caution it, I think. But I think at the end of the day it makes sense. But you just got to be smart about how you use it.

[B]

Yeah, 100%. I think those are great, great watch outs, especially the burn, the burnout part. Like you are able to process a lot more information. You're getting a lot more information. You are getting a lot more information from a lot of those sources online too. You know, it's not just the one or two outlets, it's you know, all the social platforms too that are coming out and all the people like there, there's just more content that you can, you can take in too. So I think that's a really good and very smart watch out for the Walmart team.

[A]

At the end of the day you're open to buy, it doesn't change and like you're open to buy, it doesn't change either. So you've got to be careful about how you're going to use this. And, and you got to think about it.