Online shopping should feel effortless, but for many customers, it’s anything but. On most ecommerce platforms, the search experience is dominated by faceted filters: category, brand, price, ratings, availability etc. These tools assume shoppers know exactly what they want and how to express it. But real-world intent is rarely that simple.
A customer looking for “a stylish, water-resistant backpack for weekend hikes” is forced to translate that idea into fragmented filters like material, size, price range, color etc. The process becomes tedious, and relevant options often remain buried. Static filters don’t capture nuance, and the journey from curiosity to checkout becomes a maze.
The result? Customer drops out and abandoned shopping carts.
Modern shoppers move fast and expect their shopping experience to keep pace. They’re not just browsing; they’re scanning, comparing, and pivoting in real time. Whether they’re hunting for the perfect gift or impulse-buying a trending gadget, they want to explore freely, refine quickly, and revisit options without retracing steps. But traditional faceted search wasn’t designed for this kind of agility. It’s rigid, mechanical, and tone-deaf to the subtle cues that drive real purchase decisions.
Flashfill.ai
introduces a smarter path forward.
Its suite of agentic AI tools—Filterly, Chatly, Notely, and Askly—reshapes product discovery into a fluid, personalized experience that mirrors how people actually shop:
🧠 Filterly provides intent aware search by listening to how shoppers describe what they need and automatically maps that language to structured filters. Whether the query is “a minimalist desk lamp for a small bedroom” or “eco-friendly sneakers under $100,” Filterly adapts to the complexity and context—surfacing products that match the spirit of the request, not just the keywords.
In the demo, a user enters a free-flowing query. Filterly converts it into structured search criteria, selecting filters on their behalf. The possibilities are endless, as a customer can type a simple query with 2-3 parameters or a very complex query which may cover wider range of filter values. Filterly adapts to match the user’s needs. Customers retain full control and can adjust filters at any time, combining intuitive search with flexible refinement.
💬 Chatly : acts as a digital shopping assistant, guiding users through multi-turn conversations. A shopper might start with “I need a gift for a 10-year-old who loves science,” then refine with “make it under $50 and not too messy.” Chatly keeps track, adjusts recommendations, and helps users explore without losing context.
In the demo, a user search journey experience is transformed as Chatly understands and infers its intent every turn. Chatly also provides smart context switches, and memory capabilites to re-start search where it was left at, providing continuity to customers.
📝 Notely transforms browsing into decision-making. Shoppers can save favorites, jot down notes, and compare items across sessions. It learns from preferences and helps narrow down choices—making the cart feel curated, not cluttered.
In the demo, customer is analyzing their favorite cruises based on various factors, comparing them to each other while also looking at relevant information like weather and local information and getting intelligent inputs and suggestions from AI.
📝 Askly empowers users to ask deeper questions like “What’s the capacity and electric consumption of this air purifier and is it energy efficient?” or “Is this jacket suitable for winter hiking?” It surfaces insights that typical specs and filters overlook, helping customers make confident, informed decisions.
In the demo, customer is asking exploratory questions which allows them to dig deeper asking complex questions that matter to them and uncovering insights which are sometimes difficult to find while adding context and relevant information to it.
Together, these agents form a cohesive intelligence layer that adapts to each shopper’s journey. Flashfill doesn’t just optimize ecommerce—it humanizes it. The result is a discovery experience that feels intuitive, responsive, and tailored to the customer’s intent.