Operations
13 March 2023
Ecommerce feels ripple effects of Silicon Valley Bank collapse
Etsy sellers and the retailer Camp were among those affected when the bank to startups shut down.
Photo by engin akyurt on Unsplash
Etsy sellers and the retailer Camp were among those affected when the bank to startups shut down.
The swift collapse of Silicon Valley Bank (SVB) on Friday had far-reaching ripple effects in the startup world that extended to ecommerce platforms and brands.
Regulators shut down SVB on March 10 after the bank’s move to raise capital in the face of rising interest rates and a slowdown in tech funding left trust teetering, and gave way to an influx of withdrawals. This left depositors unable to access funds. Read a full explainer here.
SVB was a major lender to startups, as it catered to early-stage companies with financial products tailored to the capital needs of fast-moving and flexible young companies, and the investment firms that backed them. While startups remain a small segment of the economy as a whole, the closure of a bank that was synonymous with tech both in stature and balance sheet left an entire sector reeling.
While deposits up to $250,000 are insured by the banking regulatory arm FDIC, the move to put the bank in receivership meant accounts were inaccessible to many businesses that were already operating lean as they sought to prove out new business models. Those with more than a quarter-million dollars in the bank were left with serious doubts about whether they would see their money.
While the collapse left many fretting over the weekend about being able to make payroll and cover expenses, there were signs of a rescue in sight on Sunday. Regulators announced that all depositors would be able to access funds on Monday, March 13.
The marketplace Etsy was among the ecommerce companies affected, as funds it had at the bank to pay sellers appeared to be inaccessible over the weekend.
“We recently experienced a delay in issuing payments to some sellers related to the unexpected collapse of Silicon Valley Bank,” the marketplace wrote. “Our teams have been working around the clock to implement a solution, and we expect to pay sellers via our other payment partners within the next several business days.”
Following the FDIC’s announcement on March 12, Etsy said it expected to begin issuing payments on Monday.
Shopify, which provides software used by emerging brands to run ecommerce stores, was also among the companies with funds in Silicon Valley Bank. The company posted an FAQ through its Shopify Capital service, which provides financial products for brands that helps provide access to working capital.
"If you have an SVB account on file for Shopify Payments, then your payouts have been temporarily paused," the FAQ stated at one point.
Shopify Capital in the U.S. was also "impacted" by the collapse, the FAQ stated. This meant offers through the program were temporary on hold.
On Twitter, Shopify CEO Tobi Lutke said Saturday that the collapse had a “very minor impact for us.”
“We use SVB as one of ~12 or so banks spread over mostly Canada and US. Canada has stricter banking risk regulations,” Lutke wrote. “A small portion of our US operational fund flows is tied up in SVB but we are working around it and it should be business as usual.”
After seeing the bank where its funds were held shut down, one retailer turned to the tried and true tactic of issuing a promo code to generate fast sales. On Friday, the family experience retailer Camp advertised 40% off for customers who used the code “BANKRUN.”
“Unfortunately, we had most of our company’s cash assets at a bank which just collapsed,” cofounder Ben Kaufman wrote in an email to customers.The popup ad that greeted visitors to Camp's site on Friday captured the mood of the moment:
(Screenshot via Camp)
"Fashion ecommerce is one of the most cumbersome customer experiences that exists," said Rent the Runway CEO Jennifer Hyman.
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 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 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.