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Assistente Whatsplaid melhora suporte pós-venda da Broto E Flor

Broto E Flor has configured a Whatsplaid assistant for post-sale support with human handover and product recommendation features.

SaaS and technical support Imagens, audios e links Post-sale support WhatsApp WPPMarketing Advisory assistant

Purpose and outcome: Improve the post-sales customer experience with faster, consultative, and personalized support, making it easier to resolve tickets and increasing overall satisfaction.

How Broto E Flor structured this operation on WhatsApp.

Broto E Flor, a company in the SaaS and technical support sector, sought to optimize its after-sales WhatsApp support to improve the customer experience and speed up issue resolution. Provide efficient, friendly, consultative after-sales support, with the ability to suggest products when appropriate and escalate to human agents in specific situations.

Assistant configured to operate on WhatsApp with a friendly, consultative tone, interpreting images, audio, and links sent, requesting essential information (email, phone, name) for support, and enabling triggers to transfer to human agents in cases of dissatisfaction, special requests, or complex queries.

01 Agile, consultative after-sales service
02 Image, audio and link interpretation
03 Automatic product suggestion
04 Efficient transfer to human support

The strategy of Multimodal AI 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, personalized after-sales support via WhatsApp by combining automation and human assistance to resolve questions and specific requests without compromising contact quality. Configure the Whatsplaid assistant with multimedia interpretation, mandatory data collection, human-transfer triggers, and product suggestion features, integrated with WPPMarketing for smooth, organized communication.

How the flow of Multimodal AI works on WhatsApp.

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

01
Customer contacts via WhatsApp Entry point of the journey configured by the company.
02
Assistant interprets submitted multimedia Step connected to the objective and the conversation history.
03
Requests essential support information Step connected to the objective and the conversation history.
04
Suggests products when relevant Step connected to the objective and the conversation history.
05
Escalates to human support based on triggers Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear triggers for human support

Value of multimedia interpretation for comprehensive support

Need to collect data for personalization

Balance between automation and human support

Monitor assistant performance, adjust triggers and responses based on user feedback, and explore new integrations to expand support 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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