An AI chatbot trained on your fashion catalog — every product, every size, every fabric. It handles size recommendations from M to 10XL, explains the difference between block print and bandhani, and finds the right Diwali outfit under a customer's budget. Hindi, English, Hinglish.
1,100+ products trained in live demo · M to 10XL size recommendations · Semantic search across full catalog · Hindi + English
Fashion ecommerce has problems that general-purpose chatbots were never designed to solve. Your customers don't ask simple questions — they ask nuanced ones that require real product knowledge.
A shopper types "I'm 5'4, 85kg, need something for a wedding under 2000" and your chatbot replies with a link to the FAQ page. Another asks about the difference between soft cotton and chanderi silk, and the bot suggests they "contact support." Meanwhile, 30% of your returns are because of wrong sizing — because there was no one to guide the customer through your M-to-10XL size chart before checkout.
Not a template. Not a decision tree. An AI chatbot trained specifically on your products, your size charts, your fabrics, and your brand voice.
When a customer says "festive outfit for mom, 6XL, under 1500," the AI chatbot searches by meaning — not keywords. It considers occasion, size, budget, and fabric all at once, across your entire catalog of 1,000+ products. No more dead-end category links.
The clothing brand customer support AI maps height, weight, and body measurements to your specific size chart. It explains which size fits and why — reducing the guesswork that causes 25-30% of fashion returns. Covers standard through plus-size, including extended ranges like 8XL and 10XL.
Block print vs. bandhani. Soft cotton vs. linen-cotton vs. chanderi. The fashion chatbot explains fabric properties, craft techniques, care instructions, and helps customers choose the right material for their climate, occasion, and preference. Knowledge that your support team shouldn't have to repeat 50 times a day.
Wedding, Diwali, office wear, casual — the AI chatbot for fashion ecommerce understands occasion context and recommends complete outfits. It suggests coordinating pieces (kurta + palazzo + dupatta), respects budget constraints, and filters by what's actually in stock in the customer's size.
Aramya sells women's ethnic wear — kurtas, kurta sets, dresses, and bottoms. We built an AI chatbot on their full catalog. Try it yourself.
No pitch deck, no 12-week onboarding. We build a working AI chatbot on your actual fashion catalog, send you the link, and let it speak for itself.
We analyze your full product catalog — every SKU, every size, every fabric, every price point. Colors, collections, occasion tags, size charts with measurements. The AI chatbot will know your catalog better than a new hire on day one.
Size recommendation logic mapped to your exact size chart. Fabric properties and care instructions. Brand voice calibration — warm and inclusive, not robotic. Returns policy, shipping, COD rules, store locations. Everything your support team handles, the chatbot handles too.
You get a live link within 48 hours. Ask real customer questions. Try edge cases. Try Hindi. Try asking for a 6XL Diwali outfit under 1500. If it holds up, we talk next steps. If not, keep the demo as a free reference — no strings attached.
Shopify chatbot embed, WhatsApp Business bridge, QA test set, weekly retraining schedule. Full go-live runbook. One-click uninstall if you ever want out. Your data stays yours — exportable at any time.
Yes. Our fashion AI chatbot includes a size recommendation engine that maps height, weight, and body measurements to your brand's specific size chart. It covers standard sizes through plus-size (up to 10XL in our Aramya demo) and explains the reasoning behind each recommendation, reducing size-related returns.
We use semantic vector search, not keyword matching. When a customer asks for "a Diwali outfit under 1500 in 6XL," the chatbot understands the occasion, budget constraint, and size requirement together — then retrieves the most relevant products from the entire catalog. This works across colors, fabrics, occasions, price ranges, and sizes simultaneously.
Absolutely. The AI chatbot is trained on fabric properties (cotton vs. linen-cotton vs. chanderi), craft techniques (block print, bandhani, ajrakh), care instructions, and occasion-based styling. It can explain the difference between fabrics, recommend outfits for specific events, and suggest coordinating pieces from your catalog.
You see a working demo within 48 hours of sharing your website — before any payment. Full deployment takes 10 business days, which includes catalog training, size chart integration, Shopify embed, WhatsApp bridge, and a QA test set. No 12-week onboarding.
Share your website. We build a working demo on your actual catalog — sizes, fabrics, and all. You test it, you decide. No call, no deck, no commitment.