Every Shopper Gets a Fitting Room Advisor
Online clothing shopping has a sizing problem, a style problem, and a confidence problem. Mika solves all three by having the conversation your website cannot.
Returns eat margins. The #1 reason for clothing returns is wrong fit. A conversation before purchase prevents returns after.
The Clothing & Apparel Website Problem
Size Charts Do Not Solve Sizing
Your size chart says Medium is 38-40 chest. The customer measures 39 and wears a Large in another brand. Size charts provide data but not advice. The customer needs someone to say 'this brand runs small, size up.'
Style Guidance Cannot Be Automated With Filters
'I need something for a casual outdoor wedding in September' does not map to any dropdown filter. The customer needs someone who understands dress codes, seasonal fabrics, and what 'casual' actually means for a wedding.
Returns From Poor Fit Destroy Margins
Online apparel return rates are significantly higher than in-store returns. Each return costs you shipping, repackaging, and potential markdowns. A 5-minute conversation about fit before purchase prevents a return that costs you $15-30 in logistics.
Shoppers Want Outfit Coordination, Not Individual Items
A customer buying a blazer also needs a shirt and shoes to go with it. Your product pages show related items in a carousel that nobody clicks. The customer needs someone to say 'this blazer pairs well with these chinos and this belt.'
What Mika Does for Clothing & Apparel
Every feature is designed for how clothing & apparel customers actually shop and buy.
Fit Guidance
Mika asks about body type, usual sizes in other brands, and fit preference (slim, regular, relaxed). Using the sizing notes you configure, it recommends the right size and flag items that run large or small.
Occasion-Based Styling
Mika understands context. 'Business casual for a tech company' gets different suggestions than 'cocktail party in December.' It filters your catalog by formality, season, and style.
Outfit Assembly
When a shopper picks a top, Mika suggests complementary bottoms, accessories, and shoes from your catalog. Cross-selling happens naturally in conversation, not in an algorithmic carousel.
Fabric and Care Questions
'Is this machine-washable?' 'Will this wrinkle in a suitcase?' Mika answers material and care questions from your product data, removing uncertainty that blocks purchases.
Return Policy Transparency
Online clothing buyers want to know the return policy before they commit. Mika shares your return window, exchange process, and any conditions (tags must be attached, etc.) clearly and immediately.
Restock Notifications
When a shopper's size is out of stock, Mika captures their email and size for a restock notification. This turns a dead end into a future sale.
Real Questions Your Customers Ask
These conversations happen on clothing & apparel websites every day. Without Mika, every one ends with the customer leaving.
"I normally wear a 32 waist in Levi's, what size should I get in your jeans?"
Brand-to-brand sizing comparison is the most practical question an apparel shopper can ask. If your knowledge base includes fit notes ('our jeans run one size small, size up'), Mika provides genuinely useful advice.
"I have a job interview next week and need a complete outfit"
Full outfit request with a deadline. Mika asks about the industry, dress code, and budget, then suggests a coordinated outfit from your catalog: blazer, shirt, pants, and shoes.
"Is this dress see-through? The photos make it hard to tell"
Fabric transparency concerns are real and cost sales. If your product descriptions include opacity/lining notes, Mika shares them. Honest answers build trust and reduce returns.
"What should I wear to a wedding in Mexico in April?"
Destination and climate context. Mika factors in weather (warm), dress code (wedding formal or casual?), and your catalog to suggest appropriate options.
"Do you have this sweater in tall sizes?"
Size availability question. Mika checks your catalog data and answers instantly. If the tall size is not available, it can suggest similar styles that come in extended sizes.
"I bought a coat last month and a button fell off, what do I do?"
Post-purchase issue. Mika shares your warranty/repair policy and captures the customer's details for follow-up. It does not process returns but connects the customer to resolution.
Conversations Informed by Psychology Research
Mika is not a generic chatbot with your product list attached. Every conversation is informed by psychology research on how people make purchasing decisions, continuously refined to guide shoppers from browsing to buying without ever feeling pushy.
Reads Shopper Intent
Mika identifies whether a visitor is browsing casually, searching for something specific, or ready to buy. Each conversation adapts to where the shopper is in their decision process.
Builds Trust Naturally
Shoppers buy from businesses they trust. Mika builds trust through helpful, honest recommendations instead of aggressive sales tactics. Visitors never feel sold to, they feel guided.
Guides to Action
Every conversation has a natural arc that moves shoppers from curiosity to commitment. Whether the action is sharing contact info, booking an appointment, or visiting your store, Mika creates a path that feels organic.
Mika's conversation strategy is developed with psychology research and continuously refined. Visitors interact with an AI that feels genuinely helpful, not a script disguised as conversation.
Clothing & Apparel: Before and After Mika
The same customers, the same questions, completely different outcomes.
Why Online Clothing Stores Have a Conversation Problem
In a physical store, the fitting room advisor is the secret weapon. They tell you the jeans run small. They grab a different size without you asking. They suggest a belt that pulls the outfit together. That interaction is why in-store return rates are a fraction of online return rates.
Your website cannot do any of that. It shows photos, a size chart, and a 'usually ships in 2 days' badge. The customer guesses their size, orders two hoping one fits, and returns the other. That cycle costs you money, frustrates the customer, and fills your warehouse with opened-and-returned inventory.
Mika replicates the fitting room conversation online. It asks about fit preference, compares sizing to brands the customer already knows, and suggests coordinated pieces. The result is fewer returns, higher average order value, and customers who feel confident about what they ordered.
Retail Pricing
Plans built for retail stores with product catalogs. AI product search with photo cards, lead capture, and appointment booking included.
Starter
For stores getting started with product search in chat.
- ✓~100 conversations/month
- ✓Up to 500 SKUs
- ✓Product search in chat
- ✓Product cards with photos
- ✓Lead capture + email alerts
- ✓8 languages
Core
For growing stores with larger catalogs.
- ✓~250 conversations/month
- ✓Up to 2,000 SKUs
- ✓Everything in Starter
- ✓5 team members
- ✓Staff booking + waitlist
- ✓Custom brand colors
- ✓Auto follow-ups
Pro
For large catalogs and high-volume stores.
- ✓Unlimited conversations
- ✓Unlimited SKUs
- ✓Everything in Core
- ✓25 team members
- ✓Multiple locations
- ✓Full widget customization
- ✓Priority support
*Conversation estimates based on average usage. Actual capacity depends on conversation length.
Frequently Asked Questions
How does Mika know about sizing differences between brands?
You configure sizing notes in your knowledge base and product catalog. For example, 'Our denim runs one size small compared to Levi's' or 'This brand's Medium fits like a typical Small.' Mika uses your notes, not general sizing assumptions.
Can Mika suggest complete outfits?
Yes, if your catalog includes category tags (tops, bottoms, outerwear, accessories). Mika can suggest complementary pieces based on what the shopper is looking at. The suggestions come from your actual inventory.
Does Mika handle returns?
Mika shares your return policy and captures return request details (order info, reason, customer contact). It does not process returns or issue refunds. For the actual return, it directs the customer to your support process.
How does Mika handle plus-size or extended sizing questions?
Mika only references sizes that exist in your catalog. If you carry extended sizes, it includes them in recommendations. If a customer asks about a size you do not carry, Mika responds honestly rather than suggesting a different size that will not fit.
Will Mika recommend items the customer cannot afford?
When a customer provides a budget, Mika filters suggestions to that range. It does not upsell beyond the stated budget. If your catalog has nothing in their range, Mika is transparent about that.
Can Mika work with our loyalty or rewards program?
Mika can mention your loyalty program in conversations based on knowledge base content (e.g., 'We have a rewards program where you earn points on every purchase'). It cannot check point balances or apply rewards. It directs customers to your rewards portal for account-specific questions.
Explore More Retail Solutions
Mika adapts to every type of retail business.
Flower Shops
Most flower shop websites show arrangements in a grid and hope someone calls. Mika asks what the occasion is, what they like, and what they need it by. That conversation is the difference between a bounce and a sale.
Learn moreSalons & Spas
New clients check your website before they call. If your site cannot answer their questions or book an appointment right now, they move on to the salon that can. Mika handles both while you focus on the client in your chair.
Learn moreJewelry Stores
Jewelry purchases involve trust, education, and emotion. A product grid with prices does not build any of those. Mika has the conversation that turns a browser into someone who walks through your door ready to buy.
Learn moreFewer Returns Start With Better Conversations
Help every shopper find the right fit, the right style, and the right size before they order.
You Paid for This Traffic. Make It Count.
Every visitor that bounces is ad spend wasted. Mika turns your existing traffic into leads and revenue. Plug and play. Live in 5 minutes.