About Catalogs
- Getting Started
- Bot Building
- Smart Agent Chat
- Conversation Design
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Developer Guides
Code Step Integration Static Step Integration Shopify Integration SETU Integration Exotel Integration CIBIL integration Freshdesk KMS Integration PayU Integration Zendesk Guide Integration Twilio Integration Razorpay Integration LeadSquared Integration USU(Unymira) Integration Helo(VivaConnect) Integration Salesforce KMS Integration Stripe Integration PayPal Integration CleverTap Integration Fynd Integration HubSpot Integration Magento Integration WooCommerce Integration Microsoft Dynamics 365 Integration
- Deployment
- External Agent Tool Setup
- Analytics & Reporting
- Notifications
- Commerce Plus
- Troubleshooting Guides
- Release Notes
A catalog essentially stores all necessary data about the products you plan to distribute on different platforms. It's a fundamental component in Conversational Commerce, operating as a place to keep your product data. This catalog's integration with Commerce Plus facilitates a smoother shopping process for customers. It includes not just product specifics, but also crucial data like product availability, price, characteristics, and more.
After you've created a catalog, it can empower various virtual assistant skills, enabling customers to interact seamlessly with your product catalog. Here are a few examples:
1. Natural language Product Search & Recommendation using Haptik's Commerce Engine: Leveraging the Catalog API, customers can use natural language queries to search for products, enhancing their shopping experience.
2. Product Feature Q&A: Customers can ask questions related to product features and attributes, thanks to the data supplied by the Catalog API as well as the product FAQ bank.
3. Answer queries based on Product Reviews: By feeding customer review data into the system, the Catalog API along with the Reviews API allows customers to learn about other buyers' sentiments about specific products.
Without the catalog, these transformative shopping experiences would not be possible, as the virtual assistant would lack the necessary product data to assist customers effectively.