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Assistente Whatsplaid otimiza atendimento e suporte pós-venda da Millex India

Millex India has implemented an automated assistant to streamline inquiries and support for agro-industrial machines.

Physical stores and retail Post-sales Support Automated support WhatsApp B2B Agroindustry

Purpose and outcome: Improved service agility and customer satisfaction, with efficient support and reduced need for human intervention in routine matters.

How Millex India structured this operation on WhatsApp.

Millex India is an Indian B2B platform that manufactures and distributes machines and parts for agro-industrial mills, serving companies and SMEs with door-to-door delivery and 24-hour support, and also exporting to various countries. Automate customer service to answer frequently asked questions, provide efficient after-sales support, and escalate cases that require human review.

The assistant has been configured to operate on WhatsApp with a professional and direct tone, answering questions about products and orders. It follows clear escalation rules to transfer to human support in cases of dissatisfaction, special requests, or complex technical issues, and it also sends notifications and summaries by email for follow-up.

01 24/7 automated support
02 Fast, accurate responses
03 Efficient routing to human support
04 Email notifications and digests

The strategy of After-sales support 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.

Serve a large volume of B2B customers with technical questions and specific needs quickly and efficiently, maintaining support quality and scalability. Implement the Whatsplaid assistant with configuration to answer questions automatically, post-sale support integrated with the e‑commerce platform, and rules to immediately escalate to human agents in critical situations.

How the flow of After-sales support works on WhatsApp.

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

01
Customer interacts via WhatsApp with an automated assistant Entry point of the journey configured by the company.
02
Assistant answers frequently asked questions in a professional tone Step connected to the objective and the conversation history.
03
Complex cases or dissatisfaction trigger human support Step connected to the objective and the conversation history.
04
System sends notifications and a summary of interactions by email Step connected to the objective and the conversation history.
05
Post-sale support accesses order and delivery information Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear rules for human handoff

24-hour support fee for B2B customers

Benefit of integration with e-commerce system

Need for a professional, direct tone in customer service

Expand integration with other modules to include sales consultant features and order analysis, and enhance the assistant's knowledge base for greater autonomy.

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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