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WhatsApp assistant focused on inquiries and efficient human support: the Aura Design Bijou case

Aura implemented an assistant on WhatsApp to answer questions and route to human support when necessary, improving the customer experience.

E-commerce Automated support WhatsApp Virtual assistant Media interpretation WPPMarketing

Purpose and outcome: Improved customer experience with fast, clear responses and human support triggered at the right moments, ensuring greater satisfaction without inventing specific metrics.

How Aura Design Bijou structured this operation on WhatsApp.

Aura is an Argentine online store that sells jewelry via an e-commerce platform integrated with WhatsApp Marketing. Automate customer service on WhatsApp to answer frequent questions and ensure transfer to human agents in cases requiring special review or negotiation.

The assistant operates on WhatsApp with a professional, direct tone, answering only inquiries. Transfer to human support occurs when the customer requests it, shows dissatisfaction, asks for special negotiation, or asks questions that require internal review. The assistant also interprets images, audio, and links sent by the customer.

01 Automated responses to frequently asked questions
02 Human support triggered when needed
03 Image, audio, and link interpretation for enhanced support
04 Atendimento profissional e direto

The strategy of Customer service automation 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.

Ensure efficient, professional support for e‑commerce customers by answering common questions and correctly identifying when to escalate to human agents without overburdening the team. Assistant setup with a professional tone, specific handoff rules, use of media interpretation to better understand inquiries, and integration with WPPMarketing for support management.

How the flow of Customer service automation works on WhatsApp.

Follow the steps used by the company and understand where AI, data, and the team fit into the journey.

01
Customer sends message via WhatsApp Entry point of the journey configured by the company.
02
Assistant automatically answers questions in a professional tone Step connected to the objective and the conversation history.
03
Assistant interprets media sent for better understanding Step connected to the objective and the conversation history.
04
If necessary, service is handed over to a human according to defined rules Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear rules for escalation to human support

Professional and direct tone value for the e-commerce audience

Usefulness of the media interpretation feature to enrich support

Integration with specialized platform simplifies support management

Monitor assistant performance to fine-tune transfer rules and explore new integrations to expand functionality.

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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