Efficient automated support integrated with Shopify: the Khazana Central case
Khazana Central set up a Whatsplaid assistant for automated customer service and post-sale support integrated with Shopify.
Purpose and outcome: Assistant configured for automated customer service with a professional tone, able to answer questions, assist in completing purchases, and provide post-sale support, ensuring an improved customer experience and efficient support integrated with Shopify.
How Khazana Central structured this operation on WhatsApp.
Khazana Central is an online product store on Shopify, based in Pakistan, that sought to optimize customer service and after-sales support via WhatsApp. Automate customer service to answer inquiries and provide efficient after-sales support, reducing the need for human intervention and improving the shopping experience.
The assistant is configured to handle the first step of customer interactions with a professional, direct tone, answering questions and directing to human support in specific cases. It uses the Sales Advisor module to look up products and assist with purchases, and the Post-Sales Support module for information about orders and deliveries, both integrated with Shopify. The assistant also interprets images, audio, and links sent by the customer.
The strategy of AI for sales applied to the company's objective.
See how challenge, setup, and features connect to transform conversations into a customer service, sales, marketing, or support operation.
Provide efficient automated support that answers common questions, assists with the purchase process, and delivers post‑sale support while maintaining quality and professionalism, and ensuring proper escalation to human agents when necessary. Configuration of the Whatsplaid assistant with active Sales Consultant and Post‑Sale Support features, integration with Shopify for product and order lookup, definition of transfer rules to human agents for cases of dissatisfaction, special requests or complex questions, and interpretation of media sent by the customer.
How the flow of AI for sales works on WhatsApp.
Follow the steps used by the company and understand where AI, data, and the team fit into the journey.
Next steps for this operation.
Importance of direct integration with the e-commerce platform for real-time data queries
Need for clear rules for transferring to human support to maintain quality
Value of media interpretation to enrich WhatsApp support
Monitor the assistant’s performance, adjust transfer rules for human support based on customer feedback, and explore enabling additional features to expand automation and personalization of support.
Want to set up a similar operation on your company's WhatsApp Business?
Use this use case as a reference to combine AI agents, company data, automations, and human oversight according to your operation's goals.