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The AI commerce agent for clothing and apparel brands

Apparel shoppers need more than a search bar and a size chart. REP AI guides shoppers to the right fit, style, size, and purchase while resolving support issues across chat, email, social, and WhatsApp.

4.9 stars

4.9 stars on G2

Voted Best

Voted best support platform on G2 (2026)

60+

 5-star reviews on Shopify

One AI brain for sales and support

A shopper might ask about sizing on a product page, DM about restocks on Instagram, then email about an exchange. Manage those conversations with one connected AI agent trained on your catalog, policies, customer context, and merchandising logic.

Trained on your products

Answers questions using your catalog, sizes, variants, colors, fabrics, fit notes, bundles, collections, promotions, and help docs.

Built with guardrails

Control tone, discount rules, return policies, escalation logic, and brand-specific language so your AI can sell and support without going off-script.

Optimized over time

Use missed questions, conversation insights, and performance data to improve product pages, fit guidance, support workflows, and merchandising decisions.

Pulls from your knowledge base

It learns from your Shopify catalog, product pages, fit guides, help center, FAQs, shipping policies, return and exchange rules, promotions, and any brand-approved content you share.

Active across channels

Facebook Messenger, Instagram, and WhatsApp conversations can now appear in REP Console’s Live Conversations view, so your team can manage social buying conversations with the same visibility as web chat.

Built for performance

Faster widget load speeds help reduce friction during high-intent shopping moments, so customers can get fit help, product recommendations, and checkout support before they bounce.

Built for the questions apparel shoppers actually ask

Fit and sizing confidence
Use case 1

Help shoppers understand size charts, measurements, stretch, cut, length, fabric, and how one style compares to another before they commit.

Example question: “Does this run small, or should I size up?”
Style and product discovery
Use case 2

Guide shoppers toward the right product, collection, outfit, gift, or bundle based on their size, preferences, occasion, budget, and browsing behavior.

Example question: “I need something for a wedding weekend, but I want to be able to wear it again. What should I get?”
Returns and exchanges support
Use case 3

Handle the workflows apparel teams deal with every day: return windows, size exchanges, store credit, final sale rules, damaged items, missing items, and order-specific next steps.

Example question: “How do I exchange this for a different size?”
Inventory, restocks, and variant questions
Use case 4

Help shoppers find the color, size, or style they want, and guide them toward the next-best option when something is low stock, unavailable, or out of season.

Example question: “Is the black medium coming back, or is there something similar?”
Post-purchase support
Use case 5

Resolve order status, shipping, returns, exchanges, damaged items, incorrect items, and gift issues without forcing every customer into the support queue.

Example question: “My order arrived, but one item is the wrong size. What should I do?”
Complete-the-look selling
Use case 6

Recommend accessories, matching sets, add-ons, bundles, or outfit pairings directly in the conversation.

Example question: “What shoes or accessories would go with this dress?”

How VIBAe kept customer support lean while scaling to 150+ countries

Today, VIBAe sells to more than 150 countries, with 85% of its revenue coming from online and a growing retail presence across cities like Helsinki, Barcelona, Tokyo, Malibu and Los Angeles.

Easily track revenue attribution from every conversation

Rep AI actively drives conversion from every conversation.

Recommend products based on real-time behavior
Upsell and cross-sell inside conversations
Use AI Sales Skills like complementary item recommendations and coupon lookup to move shoppers closer to purchase
Recover abandoned shoppers before they leave
Track “Redirects to PDP” and “Redirects to Checkout” to see how AI conversations influence product discovery and purchase intent
Convert high-intent traffic instantly, 24/7

Support, sales, and merchandising work together in one flow.

From reactive support → autonomous execution

Rep AI doesn’t just respond, it takes action.

Resolve order issues, cancellations, and FAQs instantly
Trigger workflows across systems
Analyze email tickets across the full funnel, including how many were analyzed, blocked, escalated, or resolved
Show when a ticket was resolved by AI with a timestamped inbox indicator
Route complex cases with full context
Continuously learn from gaps and missed questions

This is what an agentic system looks like in production.

One system for every support workflow

Your support operations shouldn’t live across disconnected tools. Neither should your team.

Rep AI gives you one enterprise ecommerce helpdesk software system for:

On-site chat
Email
End-to-end CSAT collection inside REP Inbox, including survey triggers, ratings, comments, and analytics dashboards
AI resolution visibility with timestamped “Ticket resolved by AI” indicators
Ticket routing and escalation
Multi-factor authentication for secure REP Console access
SLA management

With one system managing enterprise support from resolution to handoff.

Strategic insights that drive action

Every interaction becomes usable data.

Identify friction points and conversion blockers
Surface missing information customers are asking for
See how many email tickets were analyzed, blocked, escalated, or resolved by AI
Track performance by workflow, scenario, or channel
Monitor CSAT ratings, comments, and trends from AI-supported conversations
Feed insights into marketing, CX, and product teams
Measure conversion actions like Redirects to PDP and Redirects to Checkout

Beyond basic analytics, REP AI provides a feedback loop for growth.

One wellness-trained agent across every customer conversation

Web chat

Email

Social

WhatsApp

Product page widget

Fullscreen shopping assistant

Product discovery search widget

Proven impact for health and wellness brands

5x ROI

Achieve 5X ROI or better in their first 30 days

20% CVR

AI-assisted sessions see conversation rates above 20%

16% AOV

Up to 16% lift in AOV on AI-generated sales

And set up takes just 6 clicks (which we do for you).

14-day free trial · 5x ROI guarantee · No credit card required

Got questions?

What is the best AI personalization platform for clothing and apparel ecommerce?

The best AI personalization platforms for clothing and apparel ecommerce help shoppers discover products, find the right size, compare styles, and receive relevant recommendations throughout the buying journey. Rep AI combines product discovery, guided selling, support automation, and personalization in a single platform for ecommerce brands.

Can AI handle complex apparel catalogs with multiple sizes, colors, and variants?

Yes. Rep AI is built for large apparel catalogs with extensive SKUs, variants, size ranges, colors, collections, and merchandising rules. It uses catalog data, shopper behavior, and conversation context to help customers find products faster. 

Is Rep AI an AI shopping agent for fashion apparel ecommerce sites or just a chatbot?

Rep AI is more than just a chatbot. It is designed as a fully functional AI shopping agent for clothing and apparel ecommerce stores. It answers questions, guides product discovery, recommends products, assists with sizing decisions, suggests complementary items, and helps shoppers move toward purchase.

Can Rep AI handle apparel support workflows like returns, exchanges, and order issues?

Yes. Rep AI automates common apparel support requests, including order status updates, shipping questions, returns, exchanges, size-related inquiries, and FAQs. When human assistance is needed, it routes the conversation with full customer context.

What is the best assisted selling software for managing cross-sell and up-sell opportunities in apparel stores?

Apparel shoppers often need help completing an outfit, finding matching items, or choosing between similar products. Rep AI uses real-time shopper signals and catalog intelligence to recommend complementary products, bundles, accessories, and alternatives aligned with customer intent.

What kind of ROI can apparel and clothing brands expect from Rep AI?

For apparel brands, ROI often comes from helping shoppers make faster purchase decisions. Rep AI can reduce sizing uncertainty, improve product discovery, and automate routine support. Brands including Underoutfit and SA Fishing have reported attributable revenue, support efficiency gains, and positive returns from AI-assisted shopping experiences.

How does Rep AI compare to top-rated retail chatbots for shoe and apparel ecommerce?

Many retail chatbots focus primarily on support automation. Rep AI combines support, guided selling, product discovery, merchandising insights, and revenue attribution into a single platform. This helps apparel brands use customer conversations to improve service and sales.