Pango Wants to Run the Job Nobody in E-Commerce Wants
The Stockholm startup, part of Y Combinator's Summer 2026 batch, points AI agents at the post-purchase back office - deliveries, tracking, returns, refunds - and says it can run about 99% of it without a human.
There is a moment every online shopper knows and every online merchant dreads: the return. The dress didn't fit. The shoes ran small. A box goes back the way it came, and somewhere behind the scenes a human being has to figure out the label, the carrier, the refund, and the apologetic email. Multiply that by a few thousand orders a month and you have the least glamorous - and most expensive - corner of e-commerce. Pango was built to make that corner run itself.
Founded in Stockholm in 2025 by Steve Rahimi and Lukasz Reszczynski, Pango calls itself an "agentic operating system" for e-commerce back-office operations. In plainer terms: connect your store, your warehouse and your carriers, describe how you want deliveries and returns handled, and Pango's AI agents build the return portal, wire up the shipping options, and stand up a customer-service process - then run the whole thing. The company says roughly 99% of returns and shipping operations can run without anyone touching them.
01 / THE PROBLEMThe back office that ate the margin
E-commerce founders love the storefront. They obsess over the product photo, the checkout button, the ad creative. Almost nobody starts a brand because they enjoy reconciling carrier invoices or approving refunds one at a time. Yet as a store grows, that unglamorous work grows faster - and it rarely fits into a single tool. Deliveries live in one system, tracking in another, returns in a third, customer service in a fourth. The seams between them are where hours disappear and customers get lost.
Steve Rahimi knows those seams from the inside. He has been selling online since he was 17, with about seven years spent building and scaling e-commerce and tech operations before Pango. His co-founder Lukasz Reszczynski took a stranger route - an MSc in Astrophysics and the start of a PhD in Molecular Biology before software - and later built technology at Partfiniti that the company says powered more than $1.5 billion in product quotes. One founder lived the operational mess; the other builds systems that scale. Pango is the tool they say they wished existed.
02 / HOW IT WORKSDescribe the rule, get the workflow
Most operations software asks you to learn its interface. Pango inverts the ask: it wants a description. A merchant explains, in plain language, how returns, exchanges, shipments or claims should be handled, and the system assembles the portal, the delivery logic and the support agent to match. Technical integration, the company says, takes under an hour; full deployment lands in days rather than the months that enterprise logistics rollouts are known for.
The product line stretches beyond returns. There is delivery management and a "delivery promise" that optimizes the date and options a shopper sees at checkout, a transportation management system that shops for carrier rates, branded order tracking, warehouse pick-and-pack automation, and exchange automation that tries to turn a return into a second sale. Underneath sits a natural-language agent that merchants can simply ask about their operations.
03 / THE NUMBERSWhat merchants say changes
Pango frames its value in two directions at once: cutting the cost of operations and recovering revenue that returns usually bleed away. On the cost side, it points to a large drop in manual workload and fewer inbound "where is my order" tickets. On the revenue side, it leans on exchanges over refunds and smoother checkout.
There is a wider context worth noting. Fashion e-commerce - one of Pango's core segments - carries some of the highest return rates in retail, with a meaningful share of ordered items sent back. That is exactly the pressure that makes an automated, exchange-first returns flow valuable, and it is why Pango's early customer list skews toward apparel, footwear and beauty brands like Understatement Underwear, Eytys, Kukinos, GLAS and Switch Nails.
04 / THE MARKETOne platform against many point tools
The post-purchase category is not empty. Returns tools like Loop Returns, Returnly and AfterShip, tracking specialists like Narvar and ParcelLab, and shipping platforms like ShipStation each own a slice of the journey. Pango's argument is that the slices are the problem - that stitching four vendors together recreates the seams merchants were trying to escape. Its pitch is one agent-driven platform covering delivery, tracking and returns, instructed in plain English rather than configured screen by screen.
The sliver of manual work is the whole pitch: a returns desk that mostly doesn't need staffing.
05 / THE COMPANYFive people, thirty brands, one bet
Pango runs lean. The team is small - reported around five to eight people - which is itself a statement about agentic software: a handful of engineers building a system that runs operations for dozens of brands. The company is headquartered in Stockholm but incorporated as a Delaware C-Corp to scale in the United States, and its early backing reflects that dual footing: non-dilutive grant support from Sweden's innovation agency Vinnova, a $500,000 angel round in 2026, and a place in Y Combinator's Summer 2026 batch, with Gustaf Alstromer as partner. The company has reported 60% month-over-month growth in its early stretch.
What Pango is really selling is absence - the workflow a merchant sets up once and then stops thinking about. If it works at scale, the appeal is obvious: a growing brand can add orders without adding an operations team, and the messiest part of running a store quietly disappears into the background. Whether AI agents can hold that reliability across thousands of edge-case returns is the open question every customer is effectively testing. For now, the company's answer is the number it keeps repeating: 99%.