WhatsApp Sales Automation Bot
AI WhatsApp Agent for Fashion Retail Sales & Support
From 6-hour response times to 8-second replies — AI-powered WhatsApp sales for a 50,000-product fashion catalogue.
Who We Built This For
FashionHub MENA is a fashion retailer operating a catalogue of 50,000+ products across multiple categories. With a large share of customer inquiries arriving via WhatsApp — the dominant messaging channel in the region — the brand needed a way to handle high inquiry volume without the multi-hour response delays that were costing them sales.
What We Set Out to Build
FashionHub MENA's WhatsApp inbox had become a bottleneck rather than a sales channel — customers messaging about product availability, sizing, or order status were waiting hours for a reply, and many simply gave up and bought elsewhere. The brand needed an AI agent that could respond instantly while still feeling like a knowledgeable sales assistant rather than a generic chatbot.
The solution connects directly to the WhatsApp Business API and the retailer's 50,000+ product catalogue, allowing the AI agent to search, filter, and recommend products conversationally. When a customer asks about a specific item, size, or style, the agent pulls live catalogue data, suggests sizing based on the brand's fit guide, and can generate a direct payment link to complete the purchase without leaving the chat.
Order tracking is handled the same way — customers can ask "where is my order?" and get a real-time status update pulled directly from the fulfillment system, eliminating another category of inquiry that previously required human agents. The result is a WhatsApp channel that now drives meaningful sales volume instead of generating support backlog, with response times measured in seconds rather than hours.
Project Facts
Tech Stack
What Needed to Be Solved
FashionHub MENA was losing sales because of how slowly it could respond to WhatsApp inquiries — the brand's primary customer contact channel. With a 50,000+ product catalogue and response times stretching past 6 hours during peak periods, customers were abandoning purchase intent and buying from competitors who replied faster.
WhatsApp response times stretched to 6+ hours during peak periods, causing customers to lose purchase intent and abandon the conversation entirely
Staff had no fast way to search a 50,000+ product catalogue while replying to a customer in real time, slowing every product inquiry
Sizing questions required manual look-up against fit guides for each product, adding further delay to already-slow responses
Order status inquiries consumed significant staff time that could otherwise go toward new sales conversations
No way existed to complete a purchase directly inside WhatsApp — customers had to be redirected elsewhere, losing momentum at the point of intent
High inquiry volume during sales and seasonal campaigns overwhelmed the support team, multiplying response delays exactly when sales potential was highest
Inside the Platform
Every module is purpose-built to replace a standalone tool — unified in one workspace.
- Conversational search across 50,000+ products
- Filter by category, size, color & price
- Image-based product replies in chat
- Cross-sell and upsell suggestions
- Real-time stock availability checks
- AI-driven fit guidance per product
- Size-chart lookup conversationally
- Return-rate reduction via accurate sizing
- Brand-specific fit profile learning
- Multi-item sizing in a single chat
- Real-time order status inside WhatsApp
- Delivery ETA pulled from fulfillment system
- Automatic proactive delay notifications
- Return & exchange request handling
- Order history lookup per customer
- Direct payment link generation
- Cart building inside the conversation
- Abandoned cart recovery follow-up
- Discount code application in chat
- Order confirmation & receipt delivery
Everything in One Workspace
Instant WhatsApp Replies
AI agent responds within seconds to any inquiry, eliminating the multi-hour delays that were previously costing the brand sales.
Catalogue-Aware Search
Conversational product discovery across the full 50,000+ item catalogue, with filtering by size, color, category, and price.
AI Size Recommendations
Fit guidance generated from brand-specific size charts, reducing returns caused by incorrect sizing decisions.
Order Status Lookup
Customers get real-time delivery status and ETA directly inside WhatsApp, without needing to contact support separately.
In-Chat Payment Links
Generates direct payment links inside the conversation, letting customers complete a purchase without leaving WhatsApp.
Cart Recovery
Automated follow-up messages re-engage customers who started a purchase conversation but didn't complete checkout.
Cross-Sell Engine
Suggests complementary products based on what a customer is browsing or has previously purchased, increasing average order value.
Conversion Analytics
Tracks response time, conversion rate, and cart abandonment metrics to continuously measure and improve sales performance.
How We Built It
WhatsApp Business API Integration
Connected the WhatsApp Business API to the AI agent infrastructure, establishing the messaging backbone for all customer conversations.
Catalogue & Search Engine
Built the product search and recommendation engine on top of the 50,000+ item catalogue, enabling fast, conversational product discovery.
Sizing & Recommendation Logic
Developed the AI-driven sizing recommendation system using brand-specific fit guides to reduce sizing-related returns.
Order Tracking & Checkout Integration
Integrated real-time order tracking from the fulfillment system and built in-chat payment link generation for direct checkout.
Launch & Conversion Optimisation
Launched the agent across the full customer base, then iterated on conversation flows using live conversion and abandonment data.
Full Scope of Work
Integrated the WhatsApp Business API as the primary customer messaging channel for AI-driven sales conversations
Built a conversational product search engine spanning the full 50,000+ item fashion catalogue
Developed AI-driven size recommendation logic using brand-specific fit guides to reduce returns
Integrated real-time order tracking and delivery ETA lookups directly inside WhatsApp conversations
Built in-chat payment link generation enabling customers to complete purchases without leaving WhatsApp
Implemented automated cart abandonment recovery messaging to re-engage incomplete purchase conversations
Built a cross-sell recommendation engine suggesting complementary products based on browsing behaviour
Developed a conversion analytics dashboard tracking response time, conversion rate, and abandonment metrics
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