AI Automation for Reports & Interactions
Budget: ₹150,000 – ₹250,000 INR
About the Project:
We are an established retail/commerce business with a database of roughly 1 million customer purchase histories. We are seeking a senior Low-Code Automation Expert or Python Developer to design and deploy an autonomous AI Marketing Agent.
The goal of this system is to analyze customer buying histories, dynamically discover predictive product cross-sell combinations, draft highly personalized SMS/WhatsApp copy, and handle 24/7 interactive inbound customer replies.
Key Responsibilities:
Build a secure automated pipeline to fetch customer purchase data (batch or daily sync).
Integrate Claude AI (Anthropic API) as the processing engine to build predictive consumer profiles and generate personalized outreach copy.
Wire the pipeline to an official WhatsApp Business API gateway (e.g., Twilio, Wati, or Gupshup).
Build a clean, secure, and user-friendly web application dashboard (using Retool, Streamlit, or Make.com logs) so a non-technical business owner can easily track daily campaign metrics, gateway wallet balances, and opt-outs.
Strict Security & Data Protection Protocols:
Zero Real PII Access: You will be provided exclusively with anonymized dummy datasets (fake names/numbers) during the active development, configuration, and testing phases.
Real database credentials and master keys will remain private and will only be mapped by the client at production deployment.
A standard business Non-Disclosure Agreement (NDA) must be fully executed before starting.
Candidate Requirements:
Proven experience building production-grade LLM applications or workflows using Anthropic/OpenAI APIs.
Hands-on experience working directly with WhatsApp Business APIs or Twilio ecosystems.
Strong background in data management, automated scheduling (cron jobs/webhooks), and dashboard frameworks.
Excellent communication skills; able to clearly explain technical components to a non-technical stakeholder.
To Apply:
Please provide a brief summary of a similar automated marketing engine or data pipeline you have successfully built. Please include the specific tools you used and your estimated timeline for execution.
We are an established retail/commerce business with a database of roughly 1 million customer purchase histories. We are seeking a senior Low-Code Automation Expert or Python Developer to design and deploy an autonomous AI Marketing Agent.
The goal of this system is to analyze customer buying histories, dynamically discover predictive product cross-sell combinations, draft highly personalized SMS/WhatsApp copy, and handle 24/7 interactive inbound customer replies.
Key Responsibilities:
Build a secure automated pipeline to fetch customer purchase data (batch or daily sync).
Integrate Claude AI (Anthropic API) as the processing engine to build predictive consumer profiles and generate personalized outreach copy.
Wire the pipeline to an official WhatsApp Business API gateway (e.g., Twilio, Wati, or Gupshup).
Build a clean, secure, and user-friendly web application dashboard (using Retool, Streamlit, or Make.com logs) so a non-technical business owner can easily track daily campaign metrics, gateway wallet balances, and opt-outs.
Strict Security & Data Protection Protocols:
Zero Real PII Access: You will be provided exclusively with anonymized dummy datasets (fake names/numbers) during the active development, configuration, and testing phases.
Real database credentials and master keys will remain private and will only be mapped by the client at production deployment.
A standard business Non-Disclosure Agreement (NDA) must be fully executed before starting.
Candidate Requirements:
Proven experience building production-grade LLM applications or workflows using Anthropic/OpenAI APIs.
Hands-on experience working directly with WhatsApp Business APIs or Twilio ecosystems.
Strong background in data management, automated scheduling (cron jobs/webhooks), and dashboard frameworks.
Excellent communication skills; able to clearly explain technical components to a non-technical stakeholder.
To Apply:
Please provide a brief summary of a similar automated marketing engine or data pipeline you have successfully built. Please include the specific tools you used and your estimated timeline for execution.