bKash · Nagad · Bank transfer
bKash payment verification, automated
ByteFlow AI Labs automates payment checking for Bangladeshi businesses. When a customer sends a bKash, Nagad or bank-transfer screenshot on WhatsApp, the workflow reads it, matches it to the order, catches duplicates and confirms the customer — and sends anything unclear to your team. It runs on your own server and never moves money.
The problem
Many Bangladeshi businesses confirm orders by checking payment screenshots by hand — opening each image, finding the transaction ID, searching the spreadsheet and replying. It is slow on busy days, easy to get wrong, and a reused screenshot can slip through.
What it does
What the workflow does
Reads payment screenshots
Extracts the amount and transaction reference from bKash, Nagad and bank-transfer screenshots customers send on WhatsApp.
Matches the order
Checks the amount and reference against your order ledger — a Google Sheet or your own database.
Catches duplicates
Flags a screenshot or transaction reference that has already been used for another order.
Confirms the customer
Sends an automatic confirmation or a clear rejection message on WhatsApp, using wording you approve.
Escalates the unclear ones
Anything that doesn't fit your rules goes to a staff member with the screenshot and order details attached.
Keeps a record
Every check is logged against the order, so you can see what was approved, rejected or escalated, and why.
Who it is for
- Facebook and Instagram shops
- E-commerce stores
- Digital product sellers
- Coaching and course providers
- Travel agencies taking advances
- Any business confirming orders on WhatsApp
Any business that confirms orders by checking payment screenshots.
Built and running
Built and delivered
What you get
A documented workflow you own
Validation rules agreed with you, duplicate detection, customer messages, an exception route to staff, failure alerts, documentation and a recorded walkthrough.
Client project
Nova Digital Store
A 69-node n8n workflow verifies WhatsApp payment receipts with OCR and duplicate detection, replacing manual checking.
How a project works
From call to automatic checks
- 01
Free 30-minute call
We look at how you take orders and payments today and where checking slows you down.
- 02
Agree the rules
Together we write down what counts as approved, rejected or needs a person.
- 03
Build and test
We test with a set of your real receipts and orders before anything goes live.
- 04
Launch and support
Documentation, a recorded walkthrough and 30 days of post-launch support.
Questions
Common questions
How does bKash payment verification automation work?
The customer sends a payment screenshot on WhatsApp. The workflow reads the amount and transaction reference, matches them against your order records, checks for duplicates, and replies with a confirmation or rejection. Unclear cases go to your staff.
Does it connect directly to my bKash or Nagad account?
No. It verifies the screenshot details against your own order records. It does not log in to your payment accounts and never moves or releases money.
Can it approve payments on its own?
Only within rules you approve. Anything outside those rules — a mismatched amount, an unreadable screenshot, a reused reference — is sent to a person to decide.
What if a customer sends the same screenshot twice?
Duplicate detection flags a screenshot or transaction reference that has already been used, so the same payment cannot confirm two orders.
Does it work with bank transfers too?
Yes. Bank-transfer screenshots are handled the same way, as long as the amount and reference are visible.
Where does it run?
On your own server, built with self-hosted n8n, so you own the workflow and the order data.
Show us how you check payments today. We'll show you what can be automated.
Free 30-minute call, no commitment. A person from our team follows up after you send the form.
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