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Efficient automated customer service for streaming with WhatsApp support: the Dm Streaming case

Dm Streaming has configured a friendly, consultative automated assistant for WhatsApp support, integrating a knowledge base and escalation rules for technical support.

SaaS and technical support Base de Conhecimento Automated support WhatsApp Streaming

Purpose and outcome: Improved customer support efficiency, with fast automated responses and the option for human assistance in complex cases, providing a consultative and satisfactory experience.

How Dm Streaming structured this operation on WhatsApp.

Dm Streaming offers streaming services with multiple profiles and accounts for platforms such as Netflix, Disney, Amazon Prime, HBO MAX, and others, serving customers via WhatsApp. Automate customer support to speed up responses, provide consultative assistance, and suggest products when appropriate, while keeping the option for human support in specific situations.

The assistant operates via WhatsApp, using a friendly, consultative tone and relying on a local knowledge base to answer questions. It has triggers configured to escalate the conversation to human agents when the customer requests it, expresses dissatisfaction, requests a special negotiation, or asks questions that require internal review.

01 Advisory automated support
02 Quick replies via knowledge base
03 Efficient escalation for human support
04 Email notifications for support team

The strategy of Knowledge base 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 automated support for a wide range of streaming services while maintaining support quality and the option for human interaction when needed. Set up an assistant with local knowledge base capabilities, WhatsApp support with a friendly tone, triggers for human escalation, and email notifications for follow-up.

How the flow of Knowledge base works on WhatsApp.

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

01
Client initiates contact via WhatsApp Entry point of the journey configured by the company.
02
Assistant responds with a friendly tone using a knowledge base Step connected to the objective and the conversation history.
03
Suggest products when applicable Step connected to the objective and the conversation history.
04
Escalates to a human for dissatisfaction, special requests, or complex inquiries Step connected to the objective and the conversation history.
05
Sends notifications and summaries by email to support Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear rules for human escalation

Effectiveness of a consultative tone for customer engagement

Local knowledge base value for response agility

Need for continuous monitoring for improvements

Evaluate integration with other digital platforms and expand the knowledge base to cover more products and frequently asked questions, as well as monitor user satisfaction for continuous adjustments.

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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