Liam Fuller’s AI-powered retail startup Source has been gaining a lot of attention lately, not only because of its $1.4 million funding round but also because of what it stands for. Fuller, who is only eighteen, has created a procurement tool that solves a frustrating inefficiency that retailers have long accepted. Smaller stores frequently rely on manual ordering, fragile spreadsheets, and disorganized email threads to survive while larger chains invest tens of millions to improve their supply chains.
Fuller has created a tool that does more than just automate; it also thinks by utilizing what he refers to as “agentic AI.” Source has an incredibly user-friendly interface for reading unstructured retail data. It connects to what’s already in place—ERP systems, email inboxes, Excel files—instead of requiring businesses to completely overhaul their system and starts assisting customers in making more informed purchases. For lean teams attempting to handle extensive SKU lists without strong support, this is especially helpful.
Liam Fuller & Source
| Name | Liam Fuller |
|---|---|
| Age | 18 |
| Nationality | Irish |
| Company | Source (QuickFind AI, Inc.) |
| Company Type | Delaware C-Corp |
| Headquarters | Dublin, Ireland |
| Funding Raised | $1.4 million (Pre-Seed) |
| Known For | CartShare, Source, Youth Entrepreneurship |
| Key Partner | Yoan Gabison (CTO) |
| Accelerator | NDRC (Dogpatch Labs) |
| Website | www.sourceprocure.com |
Fuller talked about how he was shocked to learn that a pharmacy in Dublin managed 15,000 SKUs with only three employees during our conversation. This was not a unique instance. Another company, which handled yearly purchases totaling €100 million, continued to process all orders through email. These stories, which he collected from his previous CartShare pitch meetings, made it abundantly evident that a more intelligent backend was long overdue in the retail industry.
During the Stripe and OpenAI-supported Patch accelerator, his prior business, CartShare, a Shopify plug-in, came into existence. However, he discovered a much more profound inefficiency during CartShare’s outreach—a gap in retail operations that Source is currently working to close. Since connecting via Discord, he and his now-CTO Yoan Gabison have developed a system that is not only much quicker than conventional techniques but also gets more flexible over time.
Source establishes a centralized AI-driven hub for purchasing decisions by examining sales trends, stock levels, promotional cycles, and even outside variables like seasonal campaigns. Through a clear prompt box or suggested order module that human buyers can edit and approve with a single click, it highlights lost opportunities, forecasts future demand, and even recommends suppliers. It’s a very powerful configuration, particularly for mid-sized companies attempting to balance expansion and operational demands.
Fuller made a side trip to Australia in April, where he met Paul Bassat of Square Peg, a co-founder and early-stage investor in several unicorns, in person. Fuller is “technically sophisticated with commercial instincts that are rare at any age,” according to Bassat, who met him. The deal, which was completed in a matter of weeks, was more than just money; it was approval from a well-known venture capitalist.
Building Source was never about pressuring retailers to demolish what they had created, according to Fuller. The goal was to finally get the current systems to cooperate. Because of the platform’s incredibly transparent plug-and-play API integrations, shops without a full-stack IT team face few obstacles. Users were particularly pleased with Source’s ability to reduce the time it took to make decisions from hours to minutes during pilot testing.
Source is currently getting ready for a US rollout and a move to Silicon Valley by the end of the year thanks to strategic alliances. Beyond being merely symbolic, Fuller’s action is in line with a clear goal: he wants to establish a new benchmark, not merely improve retail procurement. Source is moving in the right direction by expanding his engineering team by twofold and integrating into America’s tech hub.
It’s not just the technology that makes this so innovative. It’s how the buyer’s day is transformed by Source. Buyers can now rely on AI-powered recommendations crafted from historical and real-time data, rather than sifting through Excel cells and cross-checking email threads. It feels more like rediscovering bandwidth than it does like automating work. It’s extremely valuable for lean retail teams.
Small retailers experienced increased pressures during the pandemic, including fluctuating supply, a lack of workers, and changing consumer preferences. Access to systems that could keep up, however, was limited. Fuller saw an opportunity for design in this contrast. Smaller chains were drowning in inefficiencies as enterprise giants used software that cost tens of millions of dollars. With its accessibility-focused design, Source comfortably fills that void.
Better forecasting, fewer order errors, and a noticeably greater sense of control have all been reported by pilot customers. For them, Source serves as a second brain in addition to saving time. It assists users in anticipating rather than responding. Early adopters are already pushing for wider adoption because of this cognitive shift, which is fueled by machine learning and improved by real-world feedback.
Source’s story is further complicated by the fact that it is headquartered in Dublin, which is becoming known as Europe’s tech corridor. It was developed using knowledge acquired on pharmacy floors and café counters rather than from Silicon Valley’s oversaturated ecosystem. Source has an advantage because of this ground-up approach. It’s made for people who have too many tabs open and not enough time, so it’s not just another enterprise SaaS tool.
Source is more than just a platform when viewed through the prism of retail transformation. It’s a sign. It demonstrates how the current generation of AI, particularly its founders like Fuller, are tackling long-standing issues with newfound realism. For the sake of disruption, they are not pursuing it. They are locating underutilized systems, streamlining them, and restoring confidence via openness and functionality.
Apps, checkouts, and mobile loyalty are examples of dazzling frontend tools that have influenced retail over the last ten years. However, Source emphasizes that the true power is in changing the backstage experience of buyers. For many small retailers, being able to place the right order at the right time is not just operational; it’s existential. And that’s what makes Liam Fuller’s strategy so dependable in the dynamic market of today.