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Efficient automated support with multimedia integration and ticket management: the Bilongo Manuel case

Bilongo Manuel set up a Whatsplaid assistant for professional automated customer service via WhatsApp, featuring multimedia capabilities and ticket management.

SaaS and technical support Automated support WhatsApp Multimedia interpretation Ticket management

Purpose and outcome: Professional automated service via WhatsApp with multimedia support and efficient ticket management, improving customer experience and optimizing the service workflow.

How Bilongo Manuel structured this operation on WhatsApp.

Bilongo Manuel is an Angolan company that sought to automate its customer support via WhatsApp with a professional, direct tone focused on answering questions and directing to human assistance when necessary. Implement an automated assistant that would respond to common inquiries, interpret multimedia content sent by customers, and manage support tickets, ensuring proper notifications and routing.

The assistant has been configured to operate on WhatsApp, interpreting images, audio, and links sent by customers. A ticket management module has been enabled with email notifications and summary delivery, as well as rules to route interactions to human support in cases of dissatisfaction, special requests, or complex questions.

01 24/7 automated support
02 Image, audio and link interpretation
03 Efficient ticket management
04 Notifications and email summary

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.

Create an efficient automated support system that can interpret different types of media and manage tickets without compromising support quality, ensuring correct escalation to human agents when necessary. Configure the Whatsplaid assistant with image, audio and link interpretation capabilities, enable the ticketing module with notifications and email summary dispatch, and set rules for handoff in specific situations.

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 text and multimedia Step connected to the objective and the conversation history.
03
Automatically answers questions Step connected to the objective and the conversation history.
04
Generates and manages support tickets Step connected to the objective and the conversation history.
05
Notifies team by email and sends summary Step connected to the objective and the conversation history.
06
Escalates to human support according to rules Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of multimedia interpretation to enrich service

Need for clear rules for handoff to human support

Value of notifications and summaries for efficient ticket management

Monitor the assistant's performance for fine-tuning, expand integrations as needed, and explore new features to further improve support.

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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