Female Founder Turns a Million-Dollar Data Entry Problem Into a Simple AI Solution

"Why did nobody think of this by now?" Narmeen Kazmi asked herself after discovering her textile client spent millions per year on manual data entry. Working with a huge client supplying Pretty Little Thing and Boohoo, Narmeen watched teams waste time fetching data, organizing spreadsheets, and manually entering purchase orders. In this episode of Lead with AI, Dr. Tamara Nall speaks with Narmeen, Founder and Project Manager at Datrix, about building an AI-powered system that automates data entry by connecting directly to Gmail, reading purchase orders and receipts, and intelligently matching information to your database schema. The platform features a unique sticky-note dashboard UI designed for quick insights rather than lengthy reports, works with any retail business receiving orders via email, and deliberately avoids reinforcement learning to protect client data privacy. Narmeen reveals why she stopped searching for existing tools and built her own MVP during a hackathon, explains the vector-based matching process that doesn't require training on your data, and predicts simple solutions like Datrix will change the world more than flying cars. For anyone drowning in paperwork, manual data entry, or order processing chaos, Narmeen explains how AI can turn messy inboxes into organized databases automatically.

Want to automate your data entry chaos? Visit Datrix to join the waitlist and discover how AI can eliminate manual purchase order processing, organize receipts automatically, and turn email chaos into clean database entries.

For more insights on how AI is transforming business and society, subscribe to the Lead with AI podcast, where we explore the frontiers of artificial intelligence with the innovators who are shaping its development.

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Connect with Narmeen Kazmi: LinkedIn: @Narmeen-Kazmi | Website: Datrix.App