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Friendly assistant that suggests products and hands off to human support when needed: the Amirh Sewing case

Amirh Sewing set up an assistant on Whatsplaid for automated consultative support, offering product suggestions and clear rules for escalation to a human.

Physical stores and retail Automated support WhatsApp Virtual assistant Trigger settings Consultative support

Purpose and outcome: Improved customer experience with efficient automated support that maintains a consultative, friendly tone while ensuring human assistance in critical situations, simplifying the purchase and local service process.

How Amirh Sewing structured this operation on WhatsApp.

Amirh Sewing is a women’s tailoring studio in Saudi Arabia, specializing in custom-made clothing and dresses with a focus on fashion and elegance, operating from a physical shop with local service. Automate customer support with a friendly assistant that can suggest products and escalate to human staff when needed, improving the in-store customer experience.

The assistant operates on WhatsApp with a friendly, consultative tone, asking essential questions such as email and suggesting products according to the conversation context. It has rules for handing over to human support in cases of explicit request, dissatisfaction, need for special negotiation, or questions that require internal analysis.

01 Friendly, consultative automated support
02 Personalized product recommendations
03 Efficient transfer to human support
04 Collection of essential data for follow-up

The strategy of Customer service automation 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 customers at a brick-and-mortar women's tailoring shop with a virtual assistant that provides personalized service, recommends suitable products, and recognizes when human intervention is needed. Implementation of the Whatsplaid assistant with configuration of multiple triggers for handoff to human support, collection of essential data, product suggestions, and communication via WhatsApp with pause and chat disabling when appropriate to avoid confusion.

How the flow of Customer service automation works on WhatsApp.

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

01
Customer initiates conversation via WhatsApp Entry point of the journey configured by the company.
02
Assistant asks essential questions such as email Step connected to the objective and the conversation history.
03
Suggest products when relevant Step connected to the objective and the conversation history.
04
Identify triggers for escalation to a human Step connected to the objective and the conversation history.
05
Pause and disable chat when necessary to avoid confusion Step connected to the objective and the conversation history.
06
Send summary and notify by email after service Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of clear handoff triggers to human

Consultative and friendly tone value for local customer service

Need to collect essential data for monitoring

Benefits of WhatsApp integration for direct communication

Monitor assistant performance and adjust triggers and responses based on customer feedback to further enhance the support experience and expand functionality as needed.

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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