Operations
12 July 2022
CEO Sonia Syngal is the latest executive to leave Gap Inc.
Meanwhile, the CEO of Walmart Canada is stepping in to lead Old Navy.
Sonia Syngal. (Photo via Wikimedia Commons)
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The news: Sonia Syngal will step down as CEO of Gap Inc., the apparel company announced on Monday. Syngal is set to remain only for a brief transition. Meanwhile, board chair and former Walmart International CEO Bob Martin will step into the CEO role on an interim basis. There were no immediate plans announced for the addition of a permanent CEO at Gap Inc., which owns the brands Gap, Old Navy, Banana Republic and Athleta.
New leader at Old Navy: Along with Syngal’s departure, Gap Inc. announced that Horacio “Haio” Barbeito will become CEO of Old Navy, effective August 1. Barbeito comes to Old Navy from Walmart, where he worked for 26 years. Most recently, he served as CEO of Walmart Canada, and previously led the retailer’s Argentina and Chile business. Barbeito succeeds Nancy Green, who left the top role at Old Navy in April.
Key quote: “With an exceptional and industry-leading CEO for Old Navy now appointed, I am thankful to have the board’s support in stepping down, ushering in a new opportunity for fresh perspective and rejuvenated leadership to carry Gap Inc. forward,” Syngal said in the announcement.
The backstory: An 18-year veteran of Gap Inc., Syngal stepped into the CEO role in 2020 after herself leading Old Navy. She was credited with turning around that brand, which is Gap Inc.'s largest, during her time at the helm. But it is struggles at Old Navy that have marked her final months as CEO.
While Gap did not give a reason for the departure, issues at Old Navy were in focus on the company's first quarter earnings call. In the quarter ended April 30, the company reported that revenue was down 13% year-over-year overall, and a loss of $162 million. Online sales were down 17%. As a result, the company cut its outlook for the year. Gap Inc.’s recent challenges are a mix of internal and external factors:
- Inventory mismatch: Due in part to bottlenecks in the global transport system that moves goods, Old Navy ordered items earlier than usual to sync with longer lead times. But by the time many items arrived, they were out of fashion with a public that was trading fleece and activewear for items to return to work and social settings. This left the company with excess inventory, which it then had to steeply discount in order to move. At the time, Syngal outlined a plan to reset inventory for back-to-school and holiday shopping.
- Size inclusivity execution: Old Navy also mismanaged demand in the launch of a size-inclusive initiative called Bodequality, which offered every style of women’s clothing in sizes 0-30. This also resulted in having too much inventory that wasn’t in demand at some stores. Many shoppers bought middle sizes but the smallest and largest sizes remained on shelves. This led to further need to discount and rebalance inventory, even as all sizes remained available online.
- Inflation: The company also found inflation hurting demand in the first quarter, especially among lower-income consumers. While the CEOs on many first quarter earnings calls said they saw demand remain strong, Gap Inc. executives said it observed weakness in consumer spending. Inflation was a big reason that it reduced expectations for top-line growth.
The numbers: Along with the announcement of the personnel change, Gap Inc. laid out several projections Monday for the just-completed second quarter of 2022. As previously detailed, the company said it expects net sales to decrease in the high single-digit range, while incurring $50 million in costs for air freight and inflation. In new projections, the company expects that additional costs for promotion to rebalance inventory will have a negative effect on gross margin, while it now expects adjusted operating margin percentage to be zero to slightly negative. Full results will be reported on August 25.
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Shopper Experience
08 June
AI, but make it fashion: Rent the Runway, Stitch Fix look generative
"Fashion ecommerce is one of the most cumbersome customer experiences that exists," said Rent the Runway CEO Jennifer Hyman.
Photo by Daniel G. Wells III, used under a Creative Commons license.
The rise of generative AI is bringing with it a groundswell of interest and concern about how the capability to automatically synthesize information and create something new will change how we work.
Given that AI will sit within the architecture of our digital lives, it’s also worth considering how the technology will introduce new tools for other aspects of life, as well.
For two ecommerce innovators in the apparel space, it’s a time to explore how it will transform shopping. Rent the Runway is set to roll out new AI-powered search capabilities, while Stitch Fix is drawing on a long history with data science and machine learning to personalize the inventory buying process.
Here’s a look at the initiatives underway at each company, and their visions for the future:
Rent the Runway: From search to concierge
Rent the Runway is putting a focus on the customer experience this year as it seeks to retain more subscribers and continue a yearslong push toward profitability.
This is resulting in the introduction of a variety of new initiatives, from the addition of an extra item to all orders to speeding up page load times. Yet as CEO Jennifer Hyman zooms out, she sees change being necessary on an industry-wide level in fashion. Beyond adding new features, AI can play a transformational role.
“I think that fashion ecommerce is one of the most cumbersome customer experiences that exists. You are searching through pages and pages and pages of content to find the items that you like and no one likes doing this,” Hyman told analysts on the company’s earnings call this week. “As an industry that still is selling physical products, AI is going to be -- fashion is going to be a major beneficiary as an industry.”
As a rental service, Rent the Runway has a distinct niche in fashion that lends itself to AI’s advantages, Hyman said. As opposed to a retailer that a consumer may visit a couple of times a year, RTR is used frequently by customers. So Hyman said there are opportunities to turn Rent the Runway into a “utility” by creating a more seamless experience.
This frequent use also provides a “highly unique” dataset, Hyman said. They know what a customer is planning to do based on what they rented. They know whether she liked or disliked an item, and many customers are reviewing 10 items per month. They know her size and how an item fits. This can be put to work in tools that allow customers to ask questions, and find answers.
The first application that combines AI and these advantages will appear in the coming weeks, when Rent the Runway plans to launch a beta of AI-driven search. The tool will allow customers to search for common terms or use cases for an item. So a person will be able to write “Miami vibe,” “‘clambake in Nantucket,” or “tropical motifs,” and receive results about what to wear for such an occasion.
The goal is to help customers sift through the endless aisle, and instantly finds what's right for them.
“I think that across all fashion sites, all over the world, the way that people are searching for product is fairly vanilla, it's fairly functional, right?" Hyman said. "You can go to a site and search for a T-shirt, you can go to a site and search for a black-tie gown. The fact that we're going to be able to enable our customers to search how they actually want to use this closet in the cloud, to search for items to wear to my beach bonfire this weekend, that is a completely different way to search, and I think that it really brings out the value proposition of what a closet in the cloud is all about."
Hyman sees this as a first step in the company using AI models to improve the product experience, and expects more tools to appear in the coming months. RTR is also introducing an SMS concierge experience for onboarding that allows customers to text with a member of the customer service team. The company is already exploring ways that AI can be incorporated into that tool, as well.
In the longer term, Hyman said the company has a vision that will leverage AI to allow customers to communicate with Rent the Runway asynchronously across different modalities, and have a stylist that is constantly available to recommend items, pick out new inventory and answer questions.
“If we are utilizing AI appropriately over the next few years, I see no reason why someone even has to come to our website,” Hyman said.
Stitch Fix: Inventory buying and beyond
Stitch Fix has long married AI with human curation to provide outfits on a subscription basis.
“For years, we have utilized capabilities in generative AI, injecting scores and language into our personalization engines and, more recently, automatically generated product descriptions,” CEO Katrina Lake told analysts. “We have also developed and implemented more advanced proprietary tools such as outfit generation and personalized style recommendations that create a unique and exciting experience we believe is unmatched in the market.”
A new area where the company is applying AI is inventory buying.
“We have historically utilized a number of tools to make data-informed decisions with our inventory purchases,” Lake said. “Now, directly leveraging our personalization algorithms, we have developed a new tool that creates an exciting paradigm shift, which will utilize math scores at the client level to drive company-level buying actions. We expect the clarity of demand signals at the individual client level to drive more proactive and efficient inventory decisions as a company. And because of this, we expect to see higher success rates on fixes and drive increases in keep rates and [average order value] over time.”
Early results are promising. When compared with existing buying tools, testing showed a 10% lift in keep rate and AOV. By the end of this quarter, Stitch Fix expects 20% of all purchase orders to be algorithmically informed.
With experience using AI and a team in place to build, Stitch Fix is investing in the technology. Like Rent the Runway, it also has a unique dataset that offers an immediate advantage.
Here are Lake’s thoughts about how Stitch Fix’s AI strategy:
One of the things that I love about our experience is that we have generative AI that's really in more of a visual format. And so, the outfits that we have in our app, those are actually taking into account your preferences, what we know about you, and then in combination with what we know that you own in your closet. And to be able to kind of continue to push that technology and to be able to continue to give people more value in their experience with Stitch Fix, that's a really good example of, I think, a capability that is, firstly, really aligned with our capabilities around data and personalization and really unique to us.
And then I think it's also really compelling because I really think that pushes us as we think about what that addressable market is. I think if we can push outfits to be something that can be an asset to everybody, I think that is a universal thing that people would love to be able to have, is to have access to advice on a daily basis around what to wear and how to wear it.
While these are distinct companies, their plans lead us to a common conclusion: While the talk around generative AI might be new, many technology-forward companies already have assets sitting inside them that can be leveraged to build new tools. Uncover what’s already there, learn about the AI’s capabilities and develop a solution that's right for your organization. Then, talk to customers to determine how to improve it. It might mean commerce looks different, but that’s okay. The point is to create a better experience.
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