ParseFlow
Turn messy WhatsApp orders into structured fulfillment-ready
Most Pakistani e-commerce sellers still receive orders through WhatsApp.
Those orders are manually copied into spreadsheets, courier portals, and order management systems — wasting hours every week and creating fulfillment mistakes.
I built ParseFlow to solve that problem.
ParseFlow converts messy WhatsApp messages, Roman Urdu orders, and mixed-language conversations into structured fulfillment-ready order records in seconds.
Example:
"1 white medium shirt, 1 black small shirt COD Lahore"
↓
Customer Name
Phone Number
Delivery Address
Items
Size & Color
COD Status
Automatically extracted and ready for export.
Features:
✅ Roman Urdu & mixed-language parsing
✅ Multi-item order extraction
✅ Customer & phone detection
✅ Address parsing
✅ COD detection
✅ Size & color detection
✅ Order verification workflow
✅ CSV export
✅ Seller dashboard
Tech Stack:
Flutter + Firebase + Claude AI
Current Status:
• Android MVP completed
• Working demo available
• Source code available
Looking for:
• Early users
• Feedback
• Strategic partners
• Acquisition discussions
GitHub:
https://github.com/skylerlife5-bot/parseflow
Demo:
https://www.youtube.com/shorts/aYL2UNYPJwo
Built by Amir (Founder, Digital Arhat)
3 Comments
This is a useful problem because the pain is very specific: sellers are already taking orders on WhatsApp, but fulfillment breaks when those messages turn into messy spreadsheets.
I’d be careful not to position ParseFlow as “Roman Urdu order parsing” first, even though that is technically strong.
The seller probably cares more about:
“Turn WhatsApp orders into clean delivery records without copy-pasting.”
That makes the value obvious immediately.
For early users, I’d start very narrow: small Instagram/Facebook sellers in Pakistan taking COD orders manually through WhatsApp. Clothing sellers are probably the cleanest first segment because size, color, quantity, address, and COD all matter.
The first test should be simple: can 10 sellers send you real WhatsApp order screenshots/messages and say whether the parsed record would save them time?
Happy to put the tighter version in writing if useful. I’d map the first seller segment, outreach message, demo flow, and 7-day early-user plan.
Thanks Aryan. This is exactly the kind of feedback I was looking for.
I think you're right that the positioning should focus on the outcome ("clean delivery records from WhatsApp orders") rather than the underlying parsing capability.
I'm planning to validate it with a small group of WhatsApp-first sellers and iterate based on real order data.
Appreciate the thoughtful breakdown and suggestions. 🙌
Glad it helped.
The real leverage now is keeping the validation very narrow: one seller type, one WhatsApp order flow, one clear “does this save time?” test.
Drop your email and I’ll send over a tighter version. I can map the first seller segment, outreach message, demo flow, and a simple 7-day early-user plan without turning the thread into a full teardown.