Built for e-commerce stores that want smarter product discovery, better shopper guidance, and a more conversion-focused buying experience.
Supported Store Types
Beauty
Fashion
Pet Supply
Electronics
Home
Wellness
Most e-commerce stores still make shoppers search like it's 2015.
Customers do not always know the exact product name, category, filter, or keyword to use. They describe what they need in natural language, but traditional search bars and rigid navigation often fail to understand them.
Shoppers express needs, stores expect keywords
“I need a lightweight sunscreen for oily skin” is not the same as typing “sunscreen” into a search bar.
Product discovery becomes harder as intent becomes more specific
The more detailed the shopper’s request is, the more traditional search and filters struggle.
High-intent shoppers leave before finding the right product
Friction in discovery leads to lower engagement, weaker conversion opportunities, and lost revenue.
Kshaf turns product discovery into a guided conversation.
Instead of forcing shoppers to search, filter, and compare on their own, Kshaf understands what they mean, asks the right questions when needed, and recommends relevant products from the store's actual catalog.
Guided Product Discovery
Shoppers describe what they want naturally, and Kshaf turns that intent into meaningful product recommendations.
Catalog-Grounded Answers
Kshaf recommends from the store's real product catalog, not from generic internet knowledge.
Smart Follow-Up Questions
When a shopper's need is broad, Kshaf asks targeted questions to refine the recommendation.
Conversion-Ready Product Results
Recommended products appear directly in the conversation with product cards, comparison options, and buying actions.
From shopper question to product match in seconds
The Shopper Asks Naturally
“I need a gentle cleanser for dry skin that works well in winter.”
Kshaf Understands the Intent
Kshaf identifies:
- Product type
- Skin type
- Shopper need
- Usage context
Kshaf Refines When Needed
“Do you prefer a foaming cleanser or a creamier texture?”
Kshaf Recommends the Right Products
It displays:
- Relevant products
- Why each product matches
- Price
- Product actions
The Shopper Asks Naturally
“I need a gentle cleanser for dry skin that works well in winter.”
Kshaf Understands the Intent
Kshaf identifies:
- Product type
- Skin type
- Shopper need
- Usage context
Kshaf Refines When Needed
“Do you prefer a foaming cleanser or a creamier texture?”
Kshaf Recommends the Right Products
It displays:
- Relevant products
- Why each product matches
- Price
- Product actions
Built to understand products, not just messages
Kshaf gives shoppers a more intelligent way to explore a catalog while helping stores create a stronger discovery and conversion layer.
Natural Language Product Search
Let shoppers describe what they need instead of forcing them to guess keywords.
Catalog Intelligence
Kshaf understands product names, attributes, descriptions, tags, prices, and category structure.
Conversational Filtering
Shoppers refine their needs through dialogue instead of clicking through complicated filters.
Product Comparison
Kshaf helps compare multiple products based on relevant differences.
Bundles and Routine Building
It can help shoppers build sets, routines, or complementary product combinations.
Storefront-Native Shopping Experience
The chat works inside the buying journey, not as a disconnected chat window.
Kshaf is not a generic chatbot with product links attached.
It is a commerce-specific AI layer designed to understand catalogs, guide product discovery, and help shoppers move from need to purchase.
| Generic Chatbot | Kshaf |
|---|---|
| Gives broad responses | Gives product-specific guidance |
| May suggest irrelevant items | Works from the store catalog |
| Answers questions | Guides product discovery |
| Separate from the shopping flow | Built into the buying journey |
| Limited commerce logic | Designed for recommendations, comparison, and conversion |
Everything a high-intent shopper wants to ask
Product Discovery
“I need a moisturizer for oily skin that feels light under makeup.”
Need-Based Recommendations
“What laptop works well for design work and travel?”
Product Comparison
“What is the difference between these two serums?”
Bundle and Routine Building
“Build me a complete skincare routine under 300 SAR.”
Cross-Sell and Upsell
“What should I use with this shampoo?”
Gift Guidance
“I need a gift for a 12-year-old who loves science.”
Designed for category-driven e-commerce
Kshaf can be adapted to product categories where shoppers need guidance, comparison, or recommendations before making a decision.
Beauty & Skincare
Example:
“I want a sunscreen for oily skin with a lightweight finish.”
Fashion
Example:
“Find me shoes that work with a beige summer outfit.”
Pet Supply
Example:
“I need food for an indoor cat with a sensitive stomach.”
Electronics
Example:
“I need headphones for work calls and long battery life.”
Home & Furniture
Example:
“Show me compact dining tables for small apartments.”
Wellness & Personal Care
Example:
“Help me find a simple daily self-care routine.”
A better shopper experience. A stronger product discovery engine.
Help Shoppers Find Products Faster
Reduce the distance between a shopper’s need and the right product.
Improve Engagement Inside the Store
Turn passive browsing into active, guided interaction.
Unlock More Conversion Opportunities
Better discovery creates stronger paths to product views, add-to-cart, and purchase.
Make the Store Feel Smarter
Deliver a more modern, helpful, and differentiated shopping experience.
Connect Kshaf to your commerce stack
Kshaf is designed to work with modern e-commerce businesses, whether they use a ready-made platform or a custom storefront.
Shopify
WooCommerce
Salla
Zid
Magento / Adobe Commerce
Custom API
Headless Storefronts
Connect your catalog
Product data, categories, and pricing.
Configure the experience
Tone, product logic, chat behavior.
Deploy it on your store
Place Kshaf where it supports discovery best.
Learn from shopper conversations
Use interactions to understand demand, gaps, and product intent.
Pricing
Choose the plan that fits your store today.