Custom conversational AI for product discovery, order support, returns, and personalized recommendations. Powered by your product catalog, store policies, and the knowledge your best salespeople already have.
Keyword search fails when customers describe what they want in natural language. They leave frustrated without discovering products that match their intent.
Where's my order? How do I return this? Every purchase generates follow-up questions that overwhelm your support team during peak seasons.
Decision-tree bots that can't understand context or preferences drive customers to competitors who provide better digital experiences.
Your recommendation engine works in newsletters but goes silent when customers are actively shopping and asking questions.
In a physical store, a good clerk greets customers, points them to the right aisle, makes recommendations, answers questions, and helps them check out. Your online store deserves the same thing.
A chatbot that greets visitors, understands what they're looking for, walks them through your catalog, makes product recommendations, and helps them all the way through checkout. It turns browsers into buyers.
Already have enough traffic? A chatbot that handles the flood of questions that come after the sale: shipping, tracking, refunds, exchanges, and store policies. Your support team stops drowning in repetitive tickets.
Most stores need both. You can start with one and add the other later, or deploy a chatbot that does all of it from day one.
Understands natural language descriptions and browsing context to surface the right products. "I need a gift for my dad who likes hiking" becomes actionable.
Real-time order status, shipping updates, and delivery estimates pulled directly from your fulfillment system.
Guided returns flow with policy-aware responses. Initiates RMAs, suggests exchanges, and reduces return friction.
Uses your product specs, size charts, and fit details to give shoppers confident sizing advice and reduce size-related returns.
Re-engages abandoned sessions with contextual nudges, answers last-minute objections, and suggests complementary products.
Same AI across your website, mobile app, WhatsApp, and social channels. Consistent experience everywhere your customers shop.
Hi! Looking for something specific today? I can help you find the perfect item.
I need a birthday gift for my wife, she likes minimalist jewelry
Great taste! Based on our collection, here are three options she'd love:
The pendant looks perfect. Does it come in gold?
Yes! The Luna Pendant is available in silver, gold, and rose gold. The gold version is $99. Want me to add it to your cart with gift wrapping?
Every interaction draws from your real-time inventory, pricing, and product details. The AI understands what a shopper is looking for, not just what they typed.
A mid-market fashion retailer deployed ChatBotHouse across their online store. The AI handled the bulk of post-purchase questions (order tracking, return requests, shipping timelines), freeing the support team to focus on complex cases. Customers who engaged with the shopping advisor also showed higher conversion rates.
You can start with whichever solves your biggest pain point. If your support team is buried in "where's my order?" tickets, start with post-purchase support. If you want to help more visitors find the right product and convert, start with the shopping advisor. They're built on the same platform, so adding the second later is straightforward.
We integrate directly with your eCommerce platform (Shopify, WooCommerce, Magento, or custom) via API. The chatbot pulls live product data, pricing, inventory levels, and order status. When a product goes out of stock or a price changes, the chatbot knows immediately. We also ingest your store policies, FAQs, size charts, and any other content you want the bot to reference.
The chatbot has a conversation with the shopper to understand what they're looking for, then matches against your catalog based on product attributes, descriptions, and availability. A customer who says "I need running shoes for wide feet under $120" gets specific results from your inventory, not a generic search page. The bot can also ask follow-up questions to narrow things down, just like a knowledgeable store clerk would.
The common ones that eat up most of your support team's time: order tracking and delivery updates, return and exchange requests, refund status, shipping policy questions, and warranty or product care inquiries. The chatbot connects to your fulfillment and order management systems so it gives real answers, not canned responses. If a customer's order is delayed, the bot knows why and can explain the updated timeline.
Shoppers who get their questions answered while they're actively browsing are far more likely to buy. A lot of cart abandonment happens because someone has an unanswered question about sizing, shipping time, or return policy and just leaves. The chatbot catches those moments. It can also proactively engage visitors who seem stuck. Results vary by store, but retailers using conversational AI typically see higher conversion rates among visitors who interact with the bot.
Yes. This is one of the biggest advantages over human support teams. During peak seasons, your ticket volume might triple, but the chatbot handles thousands of conversations at the same time with no drop in quality. You don't need to hire and train seasonal staff just to answer "where's my order?" 500 times a day.
Because the chatbot pulls live inventory data from your store, it knows what's in stock right now. If a shopper asks about something that's sold out, the AI tells them honestly and suggests alternatives from your catalog that match what they were looking for. For discontinued items, it redirects to the replacement or closest equivalent. This turns a dead end into a sale instead of losing the customer.
Yes, particularly for size and fit-related returns. A chatbot that gives confident sizing advice before purchase, based on your actual product specs and size charts, catches the "I'm not sure which size" hesitation that leads to bracket ordering and returns. It also answers material, compatibility, and use-case questions that prevent "not what I expected" returns. We've seen retailers reduce return rates meaningfully by giving shoppers better information at the point of decision.
Yes. The chatbot knows your full product catalog and can suggest complementary items during the conversation. A customer buying running shoes gets asked about insoles, socks, or a shoe care kit. Unlike static "customers also bought" widgets, the AI tailors suggestions based on the actual conversation: what the customer said they need, their budget, and their preferences. Contextual recommendations during an active buying conversation convert at much higher rates than generic cross-sell banners.
A basic FAQ bot answers canned questions about shipping and returns. An AI shopping assistant understands your product catalog, has access to live inventory and pricing, and can have a real conversation about what the customer needs. It asks follow-up questions, compares products, gives sizing advice, and guides shoppers toward a purchase. It connects to your store backend, so it knows what's in stock, what's on sale, and what ships where. The difference is between a static FAQ page and a knowledgeable store clerk who knows every product on the shelf.
We'll build a working demo using your actual products, policies, and store content. See how the chatbot handles real shopping and support conversations before you commit.
No commitment. No sales deck. Just a real conversation about your use case.