AI Chatbot for Fashion Stores
SleekAI pulls product data, sizes, materials, and stock straight from WordPress and WooCommerce so shoppers get real answers about what is actually on your racks - including the size 38 charcoal blazer and what to pair it with.
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Built for fashion shoppers
Fashion shoppers ask about fit, fabric, returns, and styling - in that order. SleekAI answers with the products and policies you have actually published, not made-up details. A shopper asking for the Acne Studios oversized blazer in size 38 gets a real stock confirmation, a price in the right currency, and a styling pairing with Toteme straight-leg jeans or Filippa K wool trousers - all in stock in their usual size.
Returns is the second-most-asked question, especially during sale season. SleekAI cites your real return policy (sale items 14 days for store credit, full-price 30 days for refund, tags attached) instead of hallucinating a generic 'we offer easy returns' line that creates a customer-service ticket later. The bot reads the policy page in your knowledge base and quotes it verbatim.
Different sections deserve different bots. A sale-only bot on /sale/ avoids cross-promoting full-price; a styling bot on category pages leans into outfit advice; a sizing bot on product pages drills into your size charts. Display conditions handle the routing without a custom code.
Workflow
How catalog data becomes useful styling advice
Connect WooCommerce
Upload size guides
Set display conditions
Log conversations
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A typical Fashion Stores conversation
Comparison
Why generic chatbots fail fashion retailers
Generic chatbot
- Doesn't know what's in stock right now
- Can't recommend real products from your catalog
- Invents sizes, materials, and prices
- Ignores your return policy and ships-from rules
- Treats every visitor like a first-time browser
SleekAI chatbot
- Reads WooCommerce stock, size, and price live
- Recommends actual SKUs from your catalog
- Cites your real return and shipping policies
- Different bots for menswear, womenswear, sale
- Logs every conversation for merchandising insight
Features
What SleekAI gives you for Fashion Stores
Catalog-aware product picks
Pulls product titles, variations, materials, and meta into the prompt so suggestions match what is actually on sale - including the shopper's usual size.
28+ display conditions
Show a sale-only bot on /sale/, a styling bot on category pages, a sizing bot on product pages. Each runs with its own prompt, knowledge base, and tone.
Upload size guides as files
Drop your size charts, brand sizing notes, and care instructions into the OpenAI Files vector store for accurate fit answers across EU, UK, US, and JP sizing.
Use cases
Where fashion stores use SleekAI
Outfit recommendations
Shoppers describe an occasion (work, wedding, weekend), the bot pulls matching pieces from your live catalog in their stated size and budget.
Size and fit guidance
Bot references your size guides and flags items that run small, large, or oversized - so a shopper does not order a size 38 blazer that fits like a 36.
Returns and exchanges
Answers the policy questions that clog your inbox during sale season - 14 days store credit on sale, 30 days refund full-price, tags attached.
The bigger picture
Why generic chat fails fashion retail specifically
Fashion retail is brand-specific in a way that breaks generic chatbots. A shopper asking about the Acne Studios oversized blazer expects you to know that size 38 in Acne sizing is roughly a US 4 to 6, that Drama Boxy is the specific style they probably mean, and that the charcoal colorway is the bestseller. A generic chatbot trained on the open web invents prices, suggests styles you do not carry, and confidently recommends a return policy that contradicts your actual page.
The problem is not raw model intelligence - it is grounding. Without your live WooCommerce data, your size charts in the knowledge base, and your return policy in the prompt, the model defaults to plausible-sounding fiction. SleekAI flips that.
Stock is live, sizes match the variations actually on the rack, and styling pairs come from products that are also in the shopper's size. Conversation logs surface the gaps - if shoppers keep asking for petite sizing on a brand you only stock in regular fits, the buyer's next order can fix that. The bot becomes a merchandising signal, not just a service deflector.
Questions
Common questions about SleekAI for Fashion Stores
Yes. SleekAI reads WooCommerce stock data live, so it only recommends variations that are available. If size 38 charcoal is in stock but 36 has sold out, the bot does not pretend otherwise. For shoppers in the wishlist mindset, it can flag 'size 36 is currently sold out, want me to note your interest?' instead of inventing availability.
 Yes. SleekAI supports multiple bots, each with its own system prompt, knowledge base, and display conditions. Menswear runs on /men/ with a different tone and a different sizing reference. Womenswear runs on /women/. Sale runs on /sale/ with cross-sell turned off. The 28+ display conditions handle the routing - no custom code required.
 Yes. Upload PDFs or text files into the OpenAI Files vector store and the bot retrieves the relevant section during a conversation. Brand-by-brand sizing tables (Acne runs large, Toteme runs true-to-size) are common - the bot pulls the row that matches the brand the shopper asked about, not a generic EU-to-US conversion.
 Yes. SleekAI was built around WordPress, so any product CPT including WooCommerce slots in via display conditions and context fields. Variations, attributes (size, color, material), stock status, and price all feed into the prompt automatically. Custom fields like 'fit notes' or 'season' can be added to the context bundle as needed.
 Yes. Every conversation is logged in WordPress so you can spot popular questions, sizes you do not stock that shoppers ask for, and gaps in your catalog. If 30 shoppers in a month asked for petite blazers on a brand you only stock in regular, that is a buying signal - not just a service log.
 Your own. SleekAI is bring-your-own-key for OpenAI, so you keep full control over costs, model choice (GPT-4.1, GPT-4o, GPT-4o-mini), and data. Usage hits your OpenAI account directly. There is no per-message markup or platform fee on top of the API cost.
 Yes. If your size guides include cross-region tables, the bot resolves a shopper's stated size into the brand's sizing convention. EU 38 to UK 10 to US 6 is a typical conversion; Japanese brands often size differently and the bot follows whatever your guide publishes rather than guessing.
 If your products carry a custom field for arrival date or pre-order status, the bot surfaces that. A shopper looking for the next Lemaire drop can hear 'the spring drop arrives April 30, want me to flag your email?' instead of getting a generic 'we will email when available' line that goes nowhere.
 Pricing
More than 1000+
happy customers
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
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