SOLUTIONS
AI and Personalization, Aimed at Revenue
Generic stores treat every visitor the same. The best ones feel built for the person browsing them. We implement AI-driven recommendations, search, and personalization that move real numbers, and we're honest about where AI helps and where it's just expensive noise.
Personalization has a credibility problem, mostly because for years it meant a creepy retargeting ad stalking you across the internet. Done well, it's the opposite of creepy. It's a store that surfaces the product you were about to search for, remembers what you bought last time, and stops pushing things you'll never want.
AI made this genuinely useful and also genuinely overhyped, so a lot of our job is telling those two apart. We implement personalization where it earns its place, across recommendations, search, and content that adapts to real behavior, and we skip the gimmicks that demo beautifully and convert nothing. On Kravet's store that meant personalization and Algolia-powered search built around a large catalog, so shoppers found the right fabric faster instead of drowning in options. The test never changes. Does it help the customer and the numbers, or does it just sound impressive in a pitch?
Done well, personalization is the opposite of creepy. It's a store that feels built for you.
AI Product Recommendations
The "you might also like" row is the most familiar form of personalization and the most undervalued. Built with real intelligence instead of a static rule, recommendations adapt to what each shopper browses and buys, surfacing the complementary product or the next size up at the moment it's relevant. We implement recommendation engines through tools like Nosto, Rebuy, and Algolia Recommend, then tune them against your real catalog and margins, because a recommendation that keeps pushing a low-margin loss leader isn't doing you any favors.
Personalized Content Delivery
Personalization reaches well beyond the product grid. The homepage a first-time visitor sees can differ from the one a loyal customer sees, with banners, collections, and messaging matched to where someone is in their relationship with your brand. We set up content that adapts to behavior, location, and history, so your store stops shouting the same message at everyone and starts having a relevant conversation with each visitor instead.
AI-Powered Search & Discovery
Site search is where your highest-intent shoppers go, and a bad one sends them straight to a competitor. AI-powered search understands what people mean rather than just what they type, handling typos, synonyms, and natural-language queries, then ranking results by what's genuinely likely to sell. We implement and tune platforms like Algolia, Constructor, and Searchspring so your search bar becomes one of your best-converting features instead of a dead end shoppers abandon.
Predictive Analytics
The data your store already collects can tell you what's likely to happen next, if you ask it the right questions. Predictive models can flag which customers are about to churn, estimate lifetime value, and forecast demand so you're not guessing at inventory. We help you put that to work in the decisions that actually matter, like who to win back and what to stock, rather than letting it sit in a dashboard nobody opens.
Chatbot & Conversational Commerce
Modern AI assistants are a real step up from the scripted chatbots everyone learned to hate. Connected to your catalog and order data, they can answer genuine questions, recommend products, and check on an order without making a customer wait for business hours. We implement conversational tools like Gorgias AI and similar assistants with one firm rule, which is that the bot hands off to a human the moment it's out of its depth. Nothing burns trust faster than a chatbot pretending it can help when it plainly can't.
Dynamic Pricing Tools
Some businesses benefit from prices that respond to demand, inventory, or customer segment, the way airlines and hotels have priced for decades. We implement dynamic pricing where it genuinely fits your model, with the controls and transparency to keep it from going off the rails or alienating the loyal customers who notice. Used carelessly, dynamic pricing erodes trust quickly, so we build in the guardrails that keep it an advantage rather than a liability.
GEO / AI Search Optimization
Search is shifting from a list of links toward a direct answer, as more people ask ChatGPT, Perplexity, and Google's AI results what to buy instead of scrolling through ten blue links. Generative Engine Optimization is the emerging work of making sure those AI systems understand and recommend your brand. It overlaps with solid SEO, like clean structure, accurate content, and strong Core Web Vitals, and adds newer habits around clear factual product information and structured data that machines can read with confidence. This space is early and moving fast, so we're building practices for it as the landscape settles rather than promising certainty nobody can deliver yet.
Frequently Asked Questions
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It depends on your traffic and catalog, but even mid-sized stores tend to see real gains from better recommendations and search. We start where it pays off rather than personalizing for the sake of it.
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Not if it's done with restraint and transparency. We personalize from on-site behavior and stated preferences, not surveillance, and we keep it helpful rather than uncanny.
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It's the practice of making your brand understandable and recommendable to AI answer engines like ChatGPT and Google's AI results. It overlaps heavily with good SEO and is still taking shape.
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Usually not. Most of these tools integrate with your current platform, so we can add them without a rebuild. See our Technology Partners page for what fits where.
Put AI to Work Where It Pays
If you're curious about personalization but wary of the hype, that's exactly the right instinct. Let's find the places where AI earns its keep in your store and skip the places where it doesn't.