AI Email Data Entry Automation

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AI/MLFull StackAI Tooling

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About this role

PHP, Python, Data Entry, Software Architecture, Google App Engine, OpenAI, AI Chatbot, AI Automation · I need an end-to-end AI workflow that removes the manual data-entry burden created by incoming email. Each time a message lands in our inbox the system should:

• Parse the email, identify and validate all required fields (names, dates, order numbers, any custom tags we define) • Post those fields directly into our Google Sheet or database with zero duplication • Draft a clear, on-brand reply when the message is a routine inquiry so my team only has to skim and hit Send • Keep a timestamped log we can audit later for accuracy and compliance

I’m open to your choice of stack—Python, Zapier, Make, OpenAI, RPA tools, or a mix—so long as the result is reliable, explainable, and easy to extend. Integration happens exclusively through email for now; if we decide to add live chat or social channels later I’ll treat that as a follow-on milestone.

Acceptance criteria 1. Data captured from a test batch of 100 emails shows ≥98 % field-level accuracy. 2. Suggested replies reflect our brand voice and require no more than light editing in 90 % of cases. 3. Deployment instructions and commented code/docker files allow us to run the pipeline on our own server.

If this scope is clear,