Laundry WhatsApp AI Chatbot Integration
Budget / Salary₹600–1,500
TypeFreelance project
LocationRemote
Posted2 hours ago
My online laundry service already runs smoothly through our mobile app and a WhatsApp number that customers use for pickup-and-drop requests. What I am missing is a smart, always-on AI chatbot inside WhatsApp that can answer routine questions and free the team from constant manual replies.
Here is the core scope I need covered:
• The bot must instantly answer questions about our pricing and the range of wash, dry-clean, ironing, and express services we offer.
• It also needs to guide customers through scheduling a pickup or delivery slot, confirm the booking, and push the details back to our mobile-app backend so everything stays in sync.
• Payment handling is out of scope for now; the customer will continue to pay through existing channels.
The solution should plug into WhatsApp Business (using the official API or a provider such as Twilio), connect securely to our existing mobile-app database, and rely on a robust NLP engine—Dialogflow, Rasa, or a comparable framework—to understand natural language requests in both English and the local dialect we serve. I will supply sample conversations, price lists, and the current scheduling API endpoints for training and integration.
Deliverables I expect:
1. A working WhatsApp chatbot deployed on my verified number and linked to the production backend.
2. Training data and intent/entity configuration so my team can update responses later.
3. Basic hand-off logic to a live agent in case the bot cannot resolve a query.
4. Short setup and maintenance guide.
If you have previous experience launching WhatsApp chatbots for on-demand services and can demonstrate fast, accurate intent recognition, let’s talk about timelines and milestones.
Here is the core scope I need covered:
• The bot must instantly answer questions about our pricing and the range of wash, dry-clean, ironing, and express services we offer.
• It also needs to guide customers through scheduling a pickup or delivery slot, confirm the booking, and push the details back to our mobile-app backend so everything stays in sync.
• Payment handling is out of scope for now; the customer will continue to pay through existing channels.
The solution should plug into WhatsApp Business (using the official API or a provider such as Twilio), connect securely to our existing mobile-app database, and rely on a robust NLP engine—Dialogflow, Rasa, or a comparable framework—to understand natural language requests in both English and the local dialect we serve. I will supply sample conversations, price lists, and the current scheduling API endpoints for training and integration.
Deliverables I expect:
1. A working WhatsApp chatbot deployed on my verified number and linked to the production backend.
2. Training data and intent/entity configuration so my team can update responses later.
3. Basic hand-off logic to a live agent in case the bot cannot resolve a query.
4. Short setup and maintenance guide.
If you have previous experience launching WhatsApp chatbots for on-demand services and can demonstrate fast, accurate intent recognition, let’s talk about timelines and milestones.
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