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Professional assistant for sales and support in e-commerce: the Compranorte case

Compranorte has implemented an automated assistant with a sales consultant and after-sales support integrated with Nuvemshop.

E-commerce Sales Consultant After-sales Support Nuvemshop Atendimento Automático WhatsApp

Purpose and outcome: Assistant capable of answering questions and supporting the customer during purchase and after-sales, improving the user experience and optimizing support via WhatsApp.

How Compranorte structured this operation on WhatsApp.

Compranorte is an Argentinian online store that sells products using the Nuvemshop platform. They sought to improve customer service via WhatsApp by automating responses to common questions and post-sale support. Provide professional, direct automated assistance to answer questions, help with purchases and deliver post-sale support, with escalation to human agents when necessary.

The assistant has been configured to operate on WhatsApp with a professional tone. It has active modules for Sales Consultant to provide product information and Post-Sales Support to handle order and delivery inquiries. Escalation rules to a human include an explicit request, dissatisfaction, special requests, or questions requiring internal analysis.

01 24/7 automated support
02 Quick product lookup
03 Efficient post-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.

Automatically and efficiently assist customers seeking product information and order status, maintaining high-quality service and recognizing when to escalate to a human agent. Implement the assistant with dedicated sales and post-sales modules, a professional tone, and well-defined escalation rules for cases requiring human intervention.

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 initiates contact via WhatsApp Entry point of the journey configured by the company.
02
Assistant answers product questions using Sales Consultant Step connected to the objective and the conversation history.
03
Assistant checks order and delivery status via After-sales Support Step connected to the objective and the conversation history.
04
Handoff rules trigger human assistance in specific cases Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of specialized modules for different stages of the customer journey

Need for clear rules for transfer to human

Direct integration value with e-commerce platform for up-to-date data

Monitor the assistant's performance, adjust handoff rules based on feedback, and explore integration with new features to expand capabilities.

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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