AI-Driven WhatsApp Chatbot Development for E-commerce
Budget: $250 – $750 USD
I'm seeking a talented freelance developer to create an AI-powered WhatsApp chatbot for our e-commerce retail store. This chatbot will not only handle product inquiries but also interact with our customers, providing them with seamless communication and support via WhatsApp.
Key Requirements:
Develop and Deploy WhatsApp Chatbot: Build and deploy a chatbot capable of responding to product inquiries and handling various customer queries through WhatsApp.
AI Integration: Use generative AI tools (e.g., AWS Bedrock or similar) to provide accurate and dynamic responses based on customer queries about products, shipping, and other store-related questions.
CRM Integration: Integrate the chatbot with a CRM that supports WhatsApp integration to track customer interactions, inquiries, and their stage in the buying process.
Database Management: Ensure that customer conversations and inquiries are stored securely and can be accessed for future reference. The bot should capture data related to the product inquiry, customer details, and buying stage.
Reporting and Analytics: Set up systems to track and report on customer interactions, session histories, and customer journey details, making it easy to follow up on leads and improve sales.
UI/UX Design: Ensure the interface (both chatbot and CRM backend) is user-friendly and easy for the team to interact with, including tracking sessions and managing customer details.
Key Responsibilities:
Develop and Deploy WhatsApp Chatbot: Build and deploy a chatbot capable of responding to product inquiries and handling various customer queries through WhatsApp.
AI Integration: Use generative AI tools (e.g., AWS Bedrock or similar) to provide accurate and dynamic responses based on customer queries about products, shipping, and other store-related questions.
CRM Integration: Integrate the chatbot with a CRM that supports WhatsApp integration to track customer interactions, inquiries, and their stage in the buying process.
Database Management: Ensure that customer conversations and inquiries are stored securely and can be accessed for future reference. The bot should capture data related to the product inquiry, customer details, and buying stage.
Reporting and Analytics: Set up systems to track and report on customer interactions, session histories, and customer journey details, making it easy to follow up on leads and improve sales.
UI/UX Design: Ensure the interface (both chatbot and CRM backend) is user-friendly and easy for the team to interact with, including tracking sessions and managing customer details.
Required Skills and Experience:
Proven experience in developing chatbots, specifically for WhatsApp, using the WhatsApp Business API or Twilio API.
Strong understanding of generative AI technologies and experience integrating AI into conversational systems (AWS Bedrock, GPT-based models, or similar).
Experience with CRM systems that support WhatsApp integration (e.g., HubSpot, Zoho, Salesforce, or similar).
Ability to integrate the chatbot with the CRM to log conversations, track customer inquiries, and categorize conversations by stage in the buying process.
Knowledge of database management for storing conversation data and session details.
Proficiency in backend development (Node.js, Python, or similar) for seamless integration and API usage.
Strong problem-solving skills and attention to detail.
Excellent communication skills and ability to work independently.
Project Scope:
Build and deploy the chatbot to handle product inquiries via WhatsApp.
Integrate the chatbot with a CRM for tracking interactions, customer inquiries, and sales funnel stages.
Key Requirements:
Develop and Deploy WhatsApp Chatbot: Build and deploy a chatbot capable of responding to product inquiries and handling various customer queries through WhatsApp.
AI Integration: Use generative AI tools (e.g., AWS Bedrock or similar) to provide accurate and dynamic responses based on customer queries about products, shipping, and other store-related questions.
CRM Integration: Integrate the chatbot with a CRM that supports WhatsApp integration to track customer interactions, inquiries, and their stage in the buying process.
Database Management: Ensure that customer conversations and inquiries are stored securely and can be accessed for future reference. The bot should capture data related to the product inquiry, customer details, and buying stage.
Reporting and Analytics: Set up systems to track and report on customer interactions, session histories, and customer journey details, making it easy to follow up on leads and improve sales.
UI/UX Design: Ensure the interface (both chatbot and CRM backend) is user-friendly and easy for the team to interact with, including tracking sessions and managing customer details.
Key Responsibilities:
Develop and Deploy WhatsApp Chatbot: Build and deploy a chatbot capable of responding to product inquiries and handling various customer queries through WhatsApp.
AI Integration: Use generative AI tools (e.g., AWS Bedrock or similar) to provide accurate and dynamic responses based on customer queries about products, shipping, and other store-related questions.
CRM Integration: Integrate the chatbot with a CRM that supports WhatsApp integration to track customer interactions, inquiries, and their stage in the buying process.
Database Management: Ensure that customer conversations and inquiries are stored securely and can be accessed for future reference. The bot should capture data related to the product inquiry, customer details, and buying stage.
Reporting and Analytics: Set up systems to track and report on customer interactions, session histories, and customer journey details, making it easy to follow up on leads and improve sales.
UI/UX Design: Ensure the interface (both chatbot and CRM backend) is user-friendly and easy for the team to interact with, including tracking sessions and managing customer details.
Required Skills and Experience:
Proven experience in developing chatbots, specifically for WhatsApp, using the WhatsApp Business API or Twilio API.
Strong understanding of generative AI technologies and experience integrating AI into conversational systems (AWS Bedrock, GPT-based models, or similar).
Experience with CRM systems that support WhatsApp integration (e.g., HubSpot, Zoho, Salesforce, or similar).
Ability to integrate the chatbot with the CRM to log conversations, track customer inquiries, and categorize conversations by stage in the buying process.
Knowledge of database management for storing conversation data and session details.
Proficiency in backend development (Node.js, Python, or similar) for seamless integration and API usage.
Strong problem-solving skills and attention to detail.
Excellent communication skills and ability to work independently.
Project Scope:
Build and deploy the chatbot to handle product inquiries via WhatsApp.
Integrate the chatbot with a CRM for tracking interactions, customer inquiries, and sales funnel stages.