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Whatsplaid Assistant optimizes Syes' customer service and after-sales support: the Syes case | Ropa Para Tu Talle

Syes has implemented a Whatsplaid assistant focused on automated customer service, sales consulting, and post-sale support integrated with e-commerce.

E-commerce Sales Consultant After-sales Support Atendimento Automático WhatsApp WPPMarketing

Purpose and outcome: Improved customer experience with quick responses and integrated support, streamlining the purchase and post-sale journey within the WhatsApp channel.

How Syes | Clothes in Your Size structured this operation on WhatsApp.

Syes is an Argentine online store specializing in clothing, operating on the WPPMarketing platform for online sales and customer service via WhatsApp. Automate customer service, answer questions about products, and provide efficient after‑sales support while maintaining direct contact via WhatsApp.

The assistant operates on WhatsApp with a professional, direct tone, answering inquiries and consulting products and orders on the e-commerce platform. It follows rules for escalation to human support in cases of dissatisfaction, special requests, or issues requiring internal review.

01 Efficient automated support
02 Personalized sales consulting
03 Integrated post-sale support
04 Quick replies via WhatsApp

The strategy of AI for sales 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.

Ensure an efficient automated service that answers questions and tracks orders without losing quality, with the option for quick human assistance when needed. Configuration of the Whatsplaid assistant with active features for Sales Advisor, After-sales Support and media recognition, clear rules for escalating to a human, and a professional tone in WhatsApp communications.

How the flow of AI for sales works on WhatsApp.

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

01
The customer interacts via WhatsApp with the assistant configured to answer questions and look up products. Entry point of the journey configured by the company.
02
The assistant accesses e‑commerce information to support orders and deliveries. Step connected to the objective and the conversation history.
03
Images, audio, and links you send are interpreted by the assistant for better understanding. Step connected to the objective and the conversation history.
04
Rules define when human assistance should be triggered. Step connected to the objective and the conversation history.
05
The assistant's tone is professional and direct, focused on clarifying and supporting the customer. Step connected to the objective and the conversation history.

Next steps for this operation.

Importance of integration with e-commerce platform for accurate information.

Value of clear rules for escalation to human support.

Effectiveness of a professional and direct tone in automated customer service.

Benefit of multimedia interpretation to enhance support.

Monitor the assistant's performance for fine-tuning, explore new integrations, and expand features based on customer feedback.

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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