Every online retailer knows the drill. Someone buys a product, initiates a return, then floods customer service with tracking questions. The cycle burns money—industry estimates suggest return rates that vary widely by category, with some sectors seeing substantial portions of revenue flowing back through the returns pipeline, a figure that has held stubbornly steady even as e-commerce has matured.
Pango, a Stockholm-based startup that emerged from Y Combinator, thinks the problem isn't returns themselves. It's that most retailers are still managing post-purchase operations the way they did a decade ago: duct-taping together separate platforms for shipping, tracking, returns, and support tickets.
The company's pitch is deceptively simple. What if all of that—the carrier negotiations, the "where is my order?" emails, the return label generation, the decision about whether to offer an exchange instead of a refund—ran through a single system that could make decisions on its own?
It's a bet that has drawn backing from Heartfelt VC and a handful of Scandinavian investors, along with endorsement from Y Combinator partner Gustaf Alströmer. Whether it can actually deliver on the promise of "agentic" operations—Silicon Valley's latest term for AI that acts without constant human supervision—remains an open question. But Pango's founders believe the post-purchase chaos represents one of the last major workflow problems in e-commerce that hasn't been properly solved.
Unifying the Messy Middle
Steve Rahimi started building e-commerce businesses at 17. His co-founder, Łukasz Reszczynski, abandoned a molecular biology PhD to write code. Reszczynski had previously built a configurator that powered over $1.5 billion in product quotes—the kind of tool that sits quietly in the background of complex B2B transactions.
The two decided the post-purchase experience needed similar rethinking. Most merchants, they found, were using AfterShip for tracking, Loop or a competitor for returns, ShipStation or EasyPost for labels, and then manually reconciling everything when something went wrong. Each system maintained its own data model, its own API, its own version of what had happened to a given package.
Pango's platform attempts to collapse that stack. One API connects to what the company claims is over 100 carriers, plus warehouse management systems like ShipHero and e-commerce platforms including Shopify, WooCommerce, and Magento. The system selects carriers based on real-time rates, tracks packages with normalized data across providers, flags delivery exceptions, and processes returns—all while maintaining what the company describes as a unified data layer.
The "agentic" label refers to decisions the system makes autonomously: whether to escalate a delayed shipment, when to auto-approve a return, how aggressively to nudge a customer toward an exchange rather than a refund. Pango claims sub-200 millisecond API response times and 99.99% uptime, though those are company-stated figures that are difficult to verify independently.
Early Adopters, Modest Proof Points
Switch Nails, a Shopify merchant selling press-on nails, published results after implementing Pango's returns module. The case study, released over the summer, highlighted shifts in customer behavior and reduced service volume—though it stopped short of publishing hard numbers on return rate reductions or revenue impact.
Pango's broader marketing materials claim the platform can reduce return rates by up to 30%, lift checkout conversion by 5 to 8%, and cut delivery-related support tickets by 70%. Those figures are company-stated and lack third-party verification. Still, the startup has signed Swedish brands including Eytys, Understatement, and Sundaze, according to its website.
The five-person team closed a pre-seed round of SEK 5 million in early 2026, led by Heartfelt VC with participation from SSE Business Lab, Wave Ventures, and Karaoke Club. Angels included e-commerce operators Johan Licke von Sydow, Marc Verschueren, and Anders Signell. Total funding reached just over $1 million, according to company announcements.
In a sign of local government interest, Swedish Migration Minister Johan Forssell visited Pango's office on Götgatan in Stockholm, one of those ceremonial stops that signals official approval without necessarily translating into policy support.
A Crowded Field of "Agentic" Solutions
Pango is hardly the only company racing to attach AI agents to e-commerce operations. Narvar, a well-established player in post-purchase customer experience, launched NAVI—described as an agentic assistant—earlier this year. ClickPost rolled out AI-priced returns insurance, using machine learning to assess risk by SKU and zip code. Shoplazza introduced "Athena," positioning it as an AI admin for back-office workflows.
Even Loop Returns, which raised a $65 million Series B in 2021, has added AI features designed to steer customers toward exchanges instead of refunds. The terminology around "agentic" has become nearly unavoidable in pitch decks.
Pango's founders argue their advantage lies in architecture. Competitors, they say, built tracking tools first, then added returns management, then layered AI on top of legacy systems. Pango designed for autonomous decision-making from the outset, which in theory should make the AI more effective—though proving that in practice will require more public data than the company has released so far.
The Economics of Returns
Perhaps the real question isn't whether Pango's technology works, but whether it addresses a problem that merchants are willing to pay to solve. Returns have always been a cost center. They tie up inventory, burn warehouse labor, and generate mountains of customer service inquiries. But they're also essential to online shopping; consumers won't buy apparel or footwear without the safety net of easy returns.
U.S. e-commerce sales reached $326.7 billion in the first quarter of this year, accounting for nearly 17% of total retail. As that share grows, the post-purchase experience becomes a larger lever. A retailer processing 10,000 orders a month with a 25% return rate is handling 2,500 returns—each one a potential point of friction, cost, and lost revenue if the customer opts for a refund instead of an exchange.
Pango's bet is that turning those returns into exchanges, or preventing returns altogether through better delivery transparency, can flip the economics. Whether AI agents can actually pull that off—or whether the technology is still too blunt an instrument for the nuanced reality of customer service—is the kind of question that only scale can answer.
The platform is available now through Shopify's app store and via direct API integration. Pango offers a free trial and volume-based pricing; actual rates require a conversation with the sales team. The company claims SOC 2 Type II compliance and says it's pursuing ISO 27001 certification, the kind of security credentials that enterprise clients increasingly demand.
For now, Pango remains a small team in Stockholm making a familiar startup wager: that a better data model plus the right application of AI can displace entrenched incumbents. The e-commerce infrastructure wars have produced plenty of winners—Stripe, Shopify, Klaviyo—and even more companies that never quite found product-market fit. Where Pango lands on that spectrum will depend on whether merchants believe post-purchase operations are broken enough to rip out and replace.
