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WhatsApp assistant integrated with e-commerce for sales and post-sales: the Ku Roa eCommerce case

Ku Roa eCommerce has set up a friendly WhatsApp assistant that suggests products and provides after-sales support, connected to Nuvemshop.

E-commerce Sales Consultant After-sales Support WhatsApp Nuvemshop Assistente Virtual

Purpose and outcome: Improved customer interaction via WhatsApp, streamlining the purchase journey and post-sale support with personalized and efficient service.

How Ku Roa eCommerce structured this operation on WhatsApp.

Ku Roa eCommerce is an Argentinian online store specializing in electronics, audio and video, offering a variety of products for direct purchase via Nuvemshop. Increase sales through WhatsApp and improve the customer experience with consultative service and post-sale support.

The assistant on WhatsApp operates with a friendly, consultative tone, suggesting products according to the conversation and handling inquiries about orders and deliveries. It has rules to escalate service to human agents in cases of dissatisfaction, special requests, or complex questions. It also interprets media sent by customers to provide better support.

01 Consultative and friendly support
02 Personalized product recommendations
03 Efficient after-sales support
04 Escalate to human support when necessary

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, consultative service via WhatsApp to assist customers with purchases and inquiries while maintaining quality and responsiveness in support. Set up an assistant with multiple active modules: Sales Consultant to suggest products, Post-Sales Support for order and delivery inquiries, and media interpretation. Define clear rules for escalation to human agents in critical situations.

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.

01
Customer starts a conversation on WhatsApp Entry point of the journey configured by the company.
02
Assistant suggests products according to context Step connected to the objective and the conversation history.
03
Query order and delivery information Step connected to the objective and the conversation history.
04
Interprets images, audio and links sent Step connected to the objective and the conversation history.
05
Forward to human support in specific cases Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of direct integration with the e-commerce platform

Value of clear rules for human transfer

Consultative support benefit for online sales

Utility of media interpretation for support

Monitor assistant performance for fine-tuning, expand integration with other channels, and explore automations for special offers.

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.

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