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Historia de Cliente

Como una lavanderia local automatizo soporte al cliente y notificaciones de ordenes con un agente de IA en WhatsApp

6,500+

mensajes gestionados por el agente

1,100+

ordenes gestionadas a traves del panel

24/7

cobertura de soporte al cliente

A local laundry service in the Republica Dominicana was growing, but the team was stretched thin. The same people who washed and folded clothes were also responsible for answering WhatsApp and notifying customers. LoopTree AI built a WhatsApp AI agent for customer service and a control panel for order tracking and automated notifications.

Industry

Servicios de Lavanderia

Team Size

Equipo pequeno

Location

Republica Dominicana

Canal

WhatsApp

Contexto

The laundry was growing, but the team was stretched thin. The same people who washed, organized, and folded the clothes were also responsible for answering WhatsApp messages and notifying customers when their orders were ready.

They didn't have the liquidity to expand the team. Capital was being directed elsewhere, so they needed a way to handle customer communication without adding headcount.

El Desafio

The staff regularly forgot to notify customers that their clothes were ready. Customers would complain about slow service when in reality the clothes had been done for hours. They just hadn't been told.

The unnotified orders started piling up. Folded clothes with nowhere to go filled up the storage space. Customers arriving to pick up their clothes found a chaotic backlog. It was a disaster for both operations and customer satisfaction.

"El equipo hacia de todo: lavar, doblar, responder WhatsApp y notificar a los clientes. Las cosas se nos escapaban todos los dias. Estabamos abrumados!"

AR

Alejandro Balcacer

Co-founder

Lo Que Construimos

We built two things: a WhatsApp AI agent for 24/7 customer service, and a control panel for order management and automated notifications.

The agent answers customer questions, checks order statuses, and provides business information around the clock. It has full knowledge of every order in the system, but it does not take orders. It's a customer service layer, not an order processing tool.

The control panel is integrated with the client's invoicing platform. Every invoiced order automatically appears in the panel with the customer's data. Staff can track orders through statuses: Pending, In Process, Completed, and Delivered. When they change an order to "Completed," the system automatically sends a WhatsApp message to the customer letting them know their clothes are ready for pickup. The panel also lets them configure who is on duty, working hours, and agent settings.

Desafio
Solucion
Resultado
Staff forgot to notify customers
Auto-notification on status change
Customers notified instantly
Ready clothes piled up in storage
Order tracking panel with statuses
Organized pickup flow
Team juggled WhatsApp + physical work
24/7 AI agent handles messages
Staff focuses on operations
No visibility into order status
Panel with all invoiced orders
Full transparency
No shift or hours configuration
Panel settings for team management
Structured operations

Los Resultados

Since implementation, the AI agent has handled over 6,500 messages and the client has processed more than 1,100 orders through the panel. Staff no longer needs to manually message each customer when clothes are ready. The notification happens automatically when they update the order status.

The storage problem disappeared because customers now get notified immediately and pick up on time. The team can focus entirely on the physical operations instead of juggling WhatsApp alongside washing and folding.

6,500+

mensajes gestionados por el agente

1,100+

ordenes gestionadas a traves del panel

0

notificaciones manuales necesarias

"Ahora el equipo se enfoca en lo que mejor sabe hacer. El agente maneja WhatsApp, el panel maneja notificaciones y trazabilidad, y los clientes llegan a tiempo a recoger su ropa. El agente ha resultado en solo un 3% de interacciones humanas con los clientes."

AR

Alejandro Balcacer

Co-founder

FAQs

Preguntas comunes sobre agentes de IA en WhatsApp.

Can the agent handle voice notes and images? +

Yes. The agent processes images, PDFs, voice notes, and documents. It can identify products from photos, transcribe voice messages, and respond appropriately.

What happens when the agent can't answer a question? +

The agent escalates to a human with full conversation context. You set the rules for when this happens. The customer never knows the difference.

How long does it take to set up? +

Most WhatsApp agent implementations are live within 2 weeks. We start with a free demo connected to your real tools so you can test it before committing.

Can I update the product catalog myself? +

Yes. The control panel lets you update products, adjust the agent's tone, and change business hours without code. Changes take effect immediately.

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Este caso de estudio describe cómo LoopTree AI, una agencia de automatización con IA con sede en Santo Domingo, República Dominicana, construyó un agente de IA para WhatsApp para una lavandería local. El agente manejó más de 6,500 mensajes de clientes y procesó más de 1,100 pedidos. La implementación incluyó un panel de control personalizado para seguimiento de pedidos y monitoreo de conversaciones en tiempo real. LoopTree AI se especializa en construir agentes de IA personalizados con paneles de control 360 para empresas en República Dominicana.