Tag: Shopify integration

  • Fin for Ecommerce: The Shopify-native AI Agent transforming product discovery and sales

    Fin for Ecommerce: The Shopify-native AI Agent transforming product discovery and sales

    Today, I’m thrilled to share Fin’s next leap as a Customer Agent: ecommerce. When we launched Fin for Sales, Fin expanded further across the customer journey — and now we’re bringing that same intelligence to product discovery, checkout conversion, and post‑purchase support for Shopify merchants.

    Fin for Ecommerce is a new role purpose-built for Shopify merchants that combines shopping assistance and ecommerce support. Fin is already the best Agent for customer service, resolving over a million queries a week for 8,000+ businesses. Now, it also guides shoppers to the right product, addresses concerns in the moment, and converts browsing into buying — all in one fluid experience.

    Here’s what’s new and why it matters for conversion rate, average order value (AOV), and lifetime value:

    Black-and-white employee portrait beside the Avocado Green Mattress logo and a testimonial explaining that Fin asks about sleep position and firmness preferences to guide shoppers to the right mattress.
    A leading mattress retailer shares how Fin for Ecommerce acts like an expert associate—asking about sleep style and firmness, then recommending the best-fit product to boost confidence and drive conversions.

    Fin helps shoppers find the right product. It asks thoughtful questions, narrows options across large catalogs, and compares products based on what the shopper actually needs — like a great in‑store assistant, at scale.

    Fin helps increase order value. It recommends relevant add‑ons and higher‑value alternatives based on conversation context, keeps carts effortless to update, and guides shoppers smoothly into checkout when they’re ready.

    AI ecommerce UI with a Product Discovery card recommending three ski jackets—blue/green, orange, and yellow/cream—showing item names and prices on a dark green background with lime diagonal bands.
    See Fin for Ecommerce in action: a Product Discovery card curates three high-performance ski jackets with images, names, and prices, revealing how the customer agent guides shoppers and accelerates confident purchases.

    Fin handles support without losing the sale. Returns, refunds, and order changes happen in the same conversation; once resolved, Fin brings shoppers right back to browsing so momentum isn’t lost.

    Fin is integrated with Shopify. Connect your store and Fin syncs your catalog, order data, and APIs in minutes — no manual training or complex setup.

    Monochrome headshot beside a branded quote card for Ninja Transfers, highlighting Fin for Ecommerce performance: 10% of conversations convert to orders and average order value runs 20% above store AOV.
    A customer spotlight from Ninja Transfers shows Fin for Ecommerce boosting sales: 10% of support chats convert, with order values 20% above average—proof that an AI customer agent can drive revenue while improving service.

    In a great retail store, an attentive associate changes everything: they ask what you’re looking for, understand your preferences, answer the questions that matter, and walk you to checkout — and when you return, they remember you. That level of proactive, human‑quality assistance has never truly made it online.

    Most ecommerce still looks like it did a decade ago: filters, FAQs, and self‑serve flows that assume the customer already knows what they want. Ecommerce offers scale and 24/7 convenience, but it’s passive — it can’t understand a shopper’s intent and actively guide them to a product that fits.

    Chat interface titled Fin for Ecommerce helps a shopper change a jacket color, showing three Vertex Hybrid Jacket variants with prices, presented in a clean UI over a green abstract 3D background.
    Fin for Ecommerce acts like a customer agent—checking shipping status, surfacing in‑stock color variants, and updating the order in the same thread—turning a jacket mix‑up into a quick, seamless experience.

    Fin for Ecommerce changes that by bringing high‑quality shopping assistance to Shopify stores.

    "Fin doesn't just recommend products — it asks the right questions about sleep position and firmness preference, understands what the customer actually needs, and guides them to the right decision. It sells the way we sell." Anthony Navarro, Market Sales Manager at Avocado

    Black-and-white headshot next to an Avocado Green Mattress testimonial about Fin for Ecommerce, highlighting smooth support-to-sales handoffs, product and policy guidance, and customer resolutions.
    An Avocado Green Mattress customer experience leader shares how Fin for Ecommerce unifies support and sales—answering policies, selling products, and explaining the mattress break-in period—so shoppers get instant, agent-level help.

    Here’s how it works in practice. When a shopper says "I need a gift for my partner" or asks "what running shoes work for trail and road?," Fin doesn’t dump them on a search results page — it starts a conversation. It asks about preferences, incorporates live browsing context, surfaces the most relevant options, and compares them based on what the shopper cares about.

    This is powered by Fin Apex 1.0, the best-performing model for customer service, combined with a retrieval engine purpose-built for ecommerce. It handles vague, exploratory shopping questions and large product catalogs, helping shoppers find the right fit, faster.

    Modal titled Connect to Shopify with Shopify bag logo, showing a checklist to sync product catalog, understand live inventory, and learn store policies, plus a black Connect to Shopify button.
    Seamlessly connect Fin to your Shopify store. With one click, sync your product catalog, pull live inventory, and import store policies so your customer agent can answer questions and resolve orders faster.

    In practical terms, this is agentic AI meeting ecommerce: Fin plans, retrieves, and reasons through complex product questions and next best actions to move the shopper forward confidently.

    Based on the conversation, Fin recommends complementary or higher-value options, keeps carts easy-to-update, and guides shoppers into checkout when they’re ready.

    Black-and-white headshot beside a Groupsumi testimonial about Fin for Ecommerce, praising fast, high-quality support with minimal, non-technical setup and Shopify-based single source of truth.
    Customer testimonial from Groupsumi spotlights Fin for Ecommerce: rapid, high-quality support with minimal setup, powered by Shopify as the single source of truth, helping teams cut complexity and focus on growth.

    "Fin for Ecommerce is already driving meaningful revenue, with 10% of conversations converting to orders averaging 20% above our store AOV." Matt Satell, Director of Ecommerce, Ninja Transfers

    Fin for Ecommerce is built on the same AI platform that powers Fin for Service. Fin understands whether a conversation requires shopping assistance, support, or both, and moves between them seamlessly without the customer noticing.

    Black hero banner with the headline 'Add Fin to your' centered above a lime‑green 3D Fin logo on a dark background, a minimalist brand visual introducing Fin’s AI customer support agent.
    Meet Fin for Ecommerce, your always‑on customer agent. This bold hero invites you to add Fin to your store so shoppers get instant answers, higher confidence at checkout, and fewer support tickets.

    This means the same Agent that helps shoppers buy also handles the hard and complex post‑purchase work including refunds, exchanges, order changes, tracking, and shipping questions. It can make changes in real time, within the same conversation, using the same context and data.

    "The handoff between support and sales is so smooth I can't tell the difference without checking the filters. Fin talks policy, sells products, and references our mattress break-in period all in one conversation. It handles both the way our best agents would — but without the customer waiting to be passed between people." Kurt Dwiggins, Customer Experience Manager at Avocado

    Fin for Ecommerce is purpose-built for Shopify merchants. Connect your Shopify store and Fin establishes a live connection to your entire catalog – products, variants, content, and order data – ensuring every response reflects your latest inventory and shoppers only see what’s actually available.

    You can add the Messenger to your store and set Fin live in minutes without any manual training or technical expertise. When connected to Shopify’s API, Fin can handle even your most complex customer requests like tracking orders, processing returns, and updating subscriptions via Procedures. Fin automatically drafts Procedures for common ecommerce support queries based on your Shopify account and customized to your company policies.

    You review, adjust, and publish, allowing Fin to start handling real queries in minutes.

    "What surprised us most about Fin for Ecommerce is how quickly it delivers high-quality support with minimal, non-technical setup. Using Shopify as the single source of truth reduces operational complexity and allows us to focus on core business execution." Arnau Jiménez, Chief Technology Officer, GroupSumi

    Fin is now a Customer Agent, with multiple roles that work seamlessly across the customer lifecycle. When a single Agent can guide a shopper from "I need a gift for my partner" to checkout, and handle a return weeks later without losing context, that’s a fundamentally better customer experience. It’s one Agent that deeply understands your products and your customers, and supports them throughout their entire journey with your business.

    Leading ecommerce brands, including Avocado, WHOOP, Shutterstock, Flaviar, Carvana, Nuuly, MPB, Pure Electric, and Goodbuy Gear, already trust Fin to create standout experiences for their shoppers. I’m excited to continue expanding Fin’s roles as a Customer Agent and share more soon.

    Ready to see it in action? Visit fin.ai/ecommerce and add Fin to your Shopify store today.


    Inspired by this post on The Intercom Blog.


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  • February Fin Breakthroughs: Master complex workflows, natural voice, 2-minute Shopify, smarter ops

    February Fin Breakthroughs: Master complex workflows, natural voice, 2-minute Shopify, smarter ops

    Every update we shipped this month removed a specific constraint on what teams can do with Fin. In my world, the demo-to-production gap shows up as complexity, control, and confidence. Can the agent handle the query that actually matters? Will it sound right on a call? Can the team deploy it without filing an engineering ticket? Can managers understand what it’s doing? That’s the bar I hold us to.

    This month, we delivered answers to all four. Here’s how.

    Procedures and Simulations (0:51). The hardest problem in AI-powered customer service isn’t answering FAQs—it’s executing complex queries with real business logic and real consequences if anything goes wrong. Think billing refunds, multi-step flows, and actions that must be right the first time.

    We made it dramatically easier to build and manage Fin for those complex queries—without pulling in an engineer. You can author in natural language, test every step in simulation, and deploy with confidence.

    The workflow starts with AI drafting the procedure from your existing source material. You edit in natural language, with structured hooks to pull in live data, apply business logic, and add code for deterministic control where you need it. That’s how you handle multi-step flows with the precision that matters when things go wrong.

    Simulations are the test environment. Define a test case, pass in the data Fin would receive in a real conversation, and watch it work through each step. You see what Fin is doing, why, and whether it’s meeting the criteria you set. Full transparency at every point. I’ve run these end-to-end myself, and there’s a particular confidence that comes from watching it work before it goes anywhere near a customer.

    Two colleagues in a studio sit at a wooden table with laptops during a Fin Product Updates discussion; an overlaid quote highlights selling and supporting customers in under two minutes.
    A conversational moment from the February Fin Product Updates recap: two teammates trade insights with laptops open, while a bold pull-quote drives home the promise—Fin removes complexity to start selling and supporting in under two minutes.

    For a deeper look at Procedures and Simulations, head to fin.ai/procedures.

    Fin Voice: three major updates. When something’s off in chat, it can take a few exchanges to notice; on a call, it’s immediate. Pronunciation, noise handling, and tone all matter because they’re the customer’s first impression.

    Pronunciation rules (4:18). Fin has high out-of-the-box pronunciation accuracy, but it doesn’t know your brand—your product names, your industry terminology, the way your company uses certain words. Alihan Zinna, Staff ML Scientist, showed this with an IKEA example: without pronunciation rules, Fin mispronounced both “IKEA” and a product name; after adding rules, both were corrected and sounded natural.

    New natural voices (5:48). We’ve added 11 new voices tuned to a range of brand tones so you can choose one that sounds like it truly belongs to your company—not a generic AI assistant.

    Background noise reduction (6:28). People call from airports, shops, and busy offices. Fin now monitors background noise continuously and increases noise reduction when the environment demands it. No configuration needed. As Alihan put it, “This is one of those things customers really notice when it’s not working. The goal was to make it invisible. That’s what we built.”

    Video still of a presenter beside a laptop and the Fin Call Metrics dashboard, showing tiles for hold times, missed and declined call counts, outbound dialing time, and a monthly stacked bar chart.
    Catch up on February’s Fin Product Updates with a walkthrough of the Call Metrics dashboard—saved filters, hold‑time tiles, missed and declined call counts, and a monthly breakdown that helps support teams act faster.

    Shopify setup experience (8:21). Fin began as a Service Agent and is quickly becoming a Customer Agent—working across the whole lifecycle to support, sell, and guide, even before a customer has an issue. The revamped Shopify setup is a clear step forward.

    Shopify catalogs are complex—thousands of products, variants, and dynamic inventory—and connecting all of that to an agent has historically been painful. We removed the friction.

    Setup now takes three steps: first, connect your store. Second, install the Messenger directly in Shopify—no code, just a few clicks. Third, deploy Fin. Total time: under two minutes. We timed it live.

    What that unlocks is real. In the demo, a first-time snowboarder asked for recommendations. Fin searched the catalog, reasoned about attributes that matter to a beginner (there’s no “beginner” tag in the catalog), personalized suggestions by height and weight, and added a board to the cart.

    Even better, one customer updated their website copy to promote a sale. Fin immediately picked up the new context and began recommending sale items, nudging shoppers to add more to the cart to access a discount—no extra configuration required. It read the situation and acted.

    Presenter explains Fin's Holiday Office Hours feature beside a laptop, with a UI screen showing office hours, reply times, and holiday closures settings for customer support teams.
    See how the latest Fin update streamlines support scheduling. A product expert walks through Holiday Office Hours, showing how to set default hours, track response metrics, and add closures so teams stay consistent.

    Three steps, and you have a real-time shopping assistant that knows your store and sells on your behalf.

    Helpdesk improvements (12:31). Fin works with any helpdesk, but many teams consolidate to take advantage of our native Intercom helpdesk integration. We’ve shipped 19 helpdesk improvements in 2026 so far; two from this month stand out.

    11 new call metrics. Hold time, outbound dial time, missed and declined calls, call terminating party, and more. These give leaders the visibility to analyze workload distribution and call handling quality in detail.

    Holiday office hours. Teams no longer need to manually update office hours for every public holiday. This was the most upvoted request in our community, and we shipped it.

    Across the board, we removed the constraints that hold teams back: the complexity ceiling in automation, the quality ceiling in voice, the setup barrier in Shopify, and the operational overhead in the helpdesk.

    We closed out the month with a Star Wars–style crawl of 22 additional updates. All features mentioned here are live and available now. Explore more at fin.ai/updates. More to come—see you next month.


    Inspired by this post on The Intercom Blog.


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