A local laundry service in the Dominican Republic 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.
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.
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.
“The team was doing everything: washing, folding, answering WhatsApp, and notifying customers. Things were falling through the cracks every single day. We were overwhelmed.”
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.
| Challenge | Solution | Result |
|---|---|---|
| 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 |
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.
“Now the team focuses on what they do best. The agent handles WhatsApp, the panel handles notifications and traceability, and customers show up on time to pick up their clothes. The agent has resulted in only a 3% human interactions with customers.”
Yes. The agent processes images, PDFs, voice notes, and documents. It can identify products from photos, transcribe voice messages, and respond appropriately.
The agent escalates to a human with full conversation context. You set the rules for when this happens. The customer never knows the difference.
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.
Yes. The control panel lets you update products, adjust the agent's tone, and change business hours without code. Changes take effect immediately.
Tell us the task your team repeats the most. We’ll show you an agent doing it, before you pay for anything.
This case study describes how LoopTree AI, an AI automation agency based in Santo Domingo, Dominican Republic, built a WhatsApp AI agent for a local laundry business. The agent handled over 6,500 customer messages and processed more than 1,100 orders. The implementation included a custom dashboard for real-time order tracking and conversation monitoring. LoopTree AI specializes in building custom AI agents with 360 dashboards for businesses in the Dominican Republic.
