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It’s been a busy year for corporate bankruptcies, and fashion brands and retailers aren’t immune.

An uncertain economic environment has led some consumers to be more selective about where they spend their money. As a result, some are reaching for cheaper styles — fast-fashion retailers like Shein took market share from competing brands in 2024, according to data and analytics company GlobalData — or buying secondhand clothing.

Many retailers and restaurants, such as baby apparel brand Carter’s and department store chain Macy’s, have been shuttering stores. More than 3,700 stores have closed across the US in 2025, by Business Insider’s count.

President Donald Trump’s tariffs have also created new challenges for fashion brands, from Abercrombie & Fitch to Nike, some of which have said they’re raising prices or altering their supply chains to minimize the financial impact.

However, other companies haven’t been able to bounce back from waning traffic, tariffs, and more. These apparel brands filed for bankruptcy protection in 2025.

Forever 21

Forever 21 was once a mainstay in fast fashion for young women shopping at the mall. The past six years have been marked by financial losses, and the company filed for Chapter 11 bankruptcy protection twice.

The rise of online fast-fashion brands like Shein and Temu, which typically offer styles at a lower price than Forever 21’s already budget-friendly offerings, has hurt the brand in recent years.

In a March 2025 bankruptcy filing, the company cited the “de minimis” rule, which had permitted shipments valued under $800 to enter the US without tariffs, as a key factor that weakened its ability to compete on price with foreign online retailers.

Authentic Brands Group, the owner of Forever 21’s intellectual property, said in September that it found new partners to renew the US business and transform it into a digital-led brand.

Ssense

Online retailer Ssense is known for selling niche luxury fashion brands. In August, the marketplace filed for Canada’s equivalent of bankruptcy protection in the Quebec Superior Court.

Business of Fashion reported that Ssense CEO Rami Atallah blamed the company’s downfall on the Trump administration’s trade policy, in an email sent to staff. Canada faces a 35% tariff on goods that are not covered by a free trade agreement between the nations.

Liberated Brands

Liberated Brands, which operated Billabong and Quicksilver, filed for Chapter 11 bankruptcy in February. The case was dismissed in May, and the company has shut down its US and Canadian retail operations.

In February court filings, Liberated Brands said it had been hit by macroeconomic pressures, supply-chain disruptions, and declining profits.

Sneakersnstuff

The popular Stockholm-based sneaker retailer filed for bankruptcy in January, as Swedish outlet Ehandel first reported. It was confirmed by Sneakersnstuff cofounder Peter Jansson in a now-deleted Instagram post.

The company was acquired by German investment company Reziprok Ventures in February.

This ‘as-told-to’ essay is based on a conversation with Jugal Bhatt, a 24-year-old software engineer at Amazon based in Phoenix. Business Insider has verified his employment with documentation. This essay has been edited for length and clarity.

Eight months before graduation, I began searching for a software engineering role. I thought my job search approach was solid, but in hindsight, it was holding me back.

In 2024, I moved to the US from India to pursue a master’s in computer science at the University of Illinois. I kicked off my job search that September — not just to give myself time before my May 2025 graduation, but because I’d heard that August, September, and October were peak hiring months.

I struggled to gain traction, and for the first few months, I didn’t land any interviews. Slowly but surely, I realized I needed to make a change.

After implementing a new approach that incorporated Boolean search techniques, strategic networking, and targeted LinkedIn posting, I began receiving interviews. My strategy eventually helped me land a software engineering role at Amazon.

My initial approach was flawed

At the start of my job hunt, I was mostly cold-applying for software engineering jobs — whatever I could find of interest on company websites and job platforms. I didn’t ask many connections for referrals or reach out to many recruiters, and I used the same résumé for every application.

My strategy shift began around the end of last year. One of the new things I focused on was making connections with recruiters, hiring managers, and employees at companies of interest in the hopes of giving my application an edge.

I got strategic with Boolean searches and networking

I started by making a list of 100 to 150 companies I wanted to work for, a mix of startups and larger tech firms. Every morning, I’d spend time searching for people from these companies on LinkedIn. I did so in part by using Boolean search techniques — searching terms like “recruiter” or “hiring manager” in quotation marks, along with the company name.

I’d identify more than a dozen people from each company and try to connect with or follow them. Once I found them, I’d comment on their LinkedIn posts to get on their radar — and eventually reach out about roles of interest. I think the comments served their purpose because conversations seemed to flow more naturally when they were familiar with me.

When it came to my résumé, I started tailoring it to each role I applied for.

Being active on LinkedIn and GitHub helped me land my first job offer

I also started writing a lot more posts on LinkedIn — sharing my projects and thoughts on different startup products. After doing that, I started getting more messages from recruiters.

But I didn’t just work on my own projects. Some startups had publicly available repositories on GitHub, and I began contributing to them to increase my visibility.

My efforts eventually started to pay off, and this strategy helped me land my first job interviews, including one for a founding software engineer role at the startup LiteLLM. I had commented on LinkedIn posts of the company’s founder and contributed to their GitHub repository, and someone from the company reached out and asked if I’d be interested in interviewing for a role I hadn’t applied for.

I later accepted an offer with them to start full-time after graduation.

A connection with an Amazon recruiter helped me land a job

When I accepted the offer at LiteLLM, I was still being considered for other roles, including a software engineering position at Amazon.

That opportunity began when an Amazon recruiter reached out to me via email about a role that typically required more than three years of experience, which I didn’t have at the time. I asked if there were any more junior-level openings, and they told me to keep an eye out and reach out if I spotted any good fits. It sounded like they might be able to help get my résumé a closer look.

Around the end of March, I spotted three or four roles that seemed like a good fit and emailed the recruiter. I was asked to complete an online assessment for a software engineering position before participating in a series of interviews.

In July, I received an offer from Amazon and resigned from LiteLLM.

My advice for Amazon applicants

I believe my connection with the Amazon recruiter gave me a competitive edge in the application process. Now that I work at Amazon, I’ve seen how recruiters can flag promising candidates and help their applications stand out.

My top advice for anyone looking to land a job at Amazon is to identify the recruiters and hiring managers involved in the decision-making process, whether through LinkedIn searches or connections within Amazon.

Additionally, I recommend you take ample time to prepare for the company’s interview process. Reflecting on my time at Amazon, the work has definitely been challenging — but in some ways, the interview preparation was harder than the job itself.

NEW YORK — Major retail chains and tech companies are offering new or updated artificial intelligence tools in time for the holiday shopping season, hoping to give consumers an easier gift-buying experience and themselves an augmented share of online spending.

Although AI-powered purchases are in early stages, the shopping assistants and agents rolled out by the likes of Walmart, Amazon and Google can do more than the chatbots of holidays past. The latest versions were designed to provide personalized product recommendations, track prices and to place some orders through unscripted “conversations” with customers.

Those features are on top of shopping updates from AI platforms like OpenAI’s ChatGPT and Google Gemini. In one of the season’s most talked-about launches, Google this month introduced an AI agent that can be instructed to call local stores to ask if a desired product is in stock.

San Francisco software company Salesforce estimated that AI would influence $73 billion, or 22%, of all global sales in one way or another from the Tuesday before Thanksgiving through Monday after the holiday, according to Caila Schwartz, Salesforce’s director of consumer insights.

The figure, which stood at $60 billion a year ago, encompasses everything from a ChatGPT query to AI-supplied gift suggestions on a retailer’s website, Schwartz said.

Despite the advancements, AI’s impact on holiday shopping will be “relatively limited” this year since not every shopping site has useful tools and not every shopper is willing to try them, said Brad Jashinsky, a senior retail industry analyst at information technology research and consulting firm Gartner.

“The more retailers that launch these tools, the better they get, and the more that consumers get comfortable and start to seek them out,” Jashinsky said. “But customer behavior takes a long time to change.”

Here are three ways the technology is poised to influence holiday shopping habits in 2025:

AI’s potential to simplify the search for the perfect present is most apparent so far in tools that promise to give shoppers faster and more detailed results than a web browser with a lot fewer clicks.

OpenAI upgraded ChatGPT with a shopping research feature that provides personalized buyers’ guides. The information comes from product pages, reviews. prices and a user’s previous interactions with the chatbot. The tool works best for complicated products like electronics and appliances, or for “detail-heavy” items like beauty or sporting goods, OpenAI said.

Then there’s Rufus, the shopping assistant that Amazon rolled out last year. It now remembers information customers previously fed it, like having four children that all like board games, for example. A user’s browsing and purchase history and reviews are used to personalize recommendations.

Google upgraded its AI Mode search tool to provide answers to detailed questions composed in natural language. For example, users can tell the agent they want to buy a casual sweater to wear with skirt or jeans in New York in January that goes with a skirt or jeans,

Responses are pulled from Google’s 50 billion product listings. The tool can also produce charts with side-by-side comparisons of prices, features, reviews and other factors. Previously, shoppers had to use keywords, filters and product links to find the information they needed.

“This is an expansionary moment, I think, for all of technology and for commerce,” Lilian Rincon, vice president of product, consumer shopping at Google, recently told The Associated Press.

Meanwhile, Walmart’s AI shopping assistant, Sparky, offers occasion-based recommendations and synthesizes reviews. An AI-powered gift finder on Target’s app exclusively for the holidays responds to prompts such as the age and special hobbies of the recipient.

Tools for tracking online prices have been around for years, including CamelCamelCamel, a third-party service for Amazon prices, as well as Paypal’s Honey browser extension for monitoring thousands of online shops.

This holiday season, shoppers have new options.

Amazon launched a 90-day pricing history tracker this month for virtually everything it sells. Shoppers also now can set up alerts to receive notifications when prices on specific items fall within their budgets.

Google, which for years had a basic price tracker, launched a more advanced version that lets users refine their requests with details like a garment’s size and color. Microsoft’s Copilot also launched a price tracker this year.

Jason Goldberg, chief commerce strategy officer at Publicis Groupe, said he thinks the new pricing tools will add more pressure on retailers to make sure their prices are competitive.

“A lot of consumers that weren’t even looking for price alerts are going to discover price alerts for the first time,” Goldberg predicted.

Amazon, OpenAI and Google are racing to create tools that would allow for seamless AI-powered shopping by taking consumers from browsing to buying within the same program instead of having to go to a retailer’s website to complete a purchase.

OpenAI launched a new instant checkout feature that lets users buy products suggested by ChatGPT without leaving the app. Users can order merchandise from Etsy sellers and from some brands that use Shopify, including Glossier, Skims and Spanx.

OpenAI and Walmart announced a similar deal in October, saying the partnership would allow ChatGPT members to use the instant checkout feature to shop for nearly everything available on Walmart’s website except for fresh food. For now, however, the feature only supports buying one item at a time.

A different deal Target struck with OpenAI lets shoppers put multiple items in a cart on ChatGPT, including fresh food products. But when customers are ready to pay for their orders, they are directed away from the chatbot to the Target app.

New tools from Amazon and Google will give shoppers a taste of having autonomous AI assistants do the buying for them. While the services still are limited, “agentic AI” is intended to be more independent and advanced than the generative AI chatbots that excel at research and writing, experts say.

Amazon is now letting Rufus automatically purchase items for customers who click an “auto buy” button while setting up price alerts. Once a product’s price drops to the desired level, customers receive notice of their completed orders and have a limited window to cancel, the company said.

The e-commerce giant also started allowing shoppers to use Rufus searches for brand-name products on the Amazon app as a gateway to other retailers. If Amazon doesn’t carry a desired item in its store, a “Shop Direct” button will take them to the website of a place that does.

Google’s AI Mode price tracker also includes a “buy for me” option that automatically makes a customer’s purchase through Google Pay when the price is right. The feature is available for products sold by Wayfair, Chewy, Quince and some Shopify merchants, and Google expects to keep adding more stores, the company said. sellers.

Google also expanded its web browser with an automated AI call feature that phones local businesses on behalf of customers looking for information or specific products. Google’s program discloses to the store that it’s an AI caller, and stores can choose not to participate, the company said.

Google said it’s applying the feature initially to specific product categories: toys, health and beauty, and electronics. Target and Walmart declined to comment on whether this type of service would be part of their future plans.