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Professional, straightforward automation in customer service: the Indumentariadl case

Indumentariadl has implemented an automated assistant on WhatsApp for professional support, with human escalation for specific cases.

Physical stores and retail Automated support WhatsApp Media interpretation Human routing

Purpose and outcome: Improved customer service efficiency via WhatsApp, with clear automated responses and appropriate escalation to human support, maintaining the desired professional and direct tone.

How Indumentariadl structured this operation on WhatsApp.

Indumentariadl is an Argentine brick-and-mortar retail store that sought to automate customer service via WhatsApp to improve experience and efficiency. Implement a professional, direct automated service to answer customer questions, with clear rules for escalation to human support when necessary.

The assistant automatically responds to customer inquiries sent via WhatsApp, interpreting images, audio, and links. In cases of requests for human assistance, dissatisfaction, special negotiation requests, or complex questions, the conversation is escalated to a human agent. The system sends email notifications and a summary of interactions for follow-up.

01 24/7 automated support
02 Professional and direct response
03 Image, audio and link interpretation
04 Escalation to human support for complex cases

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.

Automate customer service in a physical retail store while maintaining quality and professionalism, and ensuring human support when needed. Configure the Whatsplaid assistant with the media interpretation feature enabled to analyze media sent by customers, set transfer rules for human handling in specific situations, and send email notifications for service tracking.

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 sends message via WhatsApp Entry point of the journey configured by the company.
02
Assistant interprets content, including media Step connected to the objective and the conversation history.
03
Automatically answers questions with a professional tone Step connected to the objective and the conversation history.
04
Detects triggers for escalation to human support Step connected to the objective and the conversation history.
05
Sends notifications and a summary of interactions by email Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear rules for escalation to human support

Cost of media interpretation feature for better customer understanding

Need to maintain a professional tone to reinforce trust

Benefit of sending notifications to track the service

Evaluate integrating new modules to expand the assistant's capabilities and collect customer feedback for ongoing service improvements.

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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