POS-less loyalty: every paper bill becomes first-party data.
Members photograph their bill on WhatsApp or in-app; AI OCR verifies the store, items and amount, credits points instantly and turns offline purchases into structured, campaign-ready data.
<8s
bill verification
99.2%
fraud catch rate
0
POS changes needed
Section 01
The business problem
Malls and multi-brand environments cannot integrate with dozens of tenant POS systems. Without purchase data there is no loyalty, no attribution and no customer intelligence.
Why existing solutions fall short
- POS integration across 100+ tenants takes years and constant maintenance.
- Manual bill desks create queues and data-entry errors.
- Simple photo-upload tools cannot detect duplicate or doctored bills.
Section 02
How Fundle solves it
Fundle's receipt-scan engine reads any printed or digital bill, validates it against store, date, GST and duplicate checks, and converts it into SKU-level purchase data — powering coalition loyalty, offline attribution and tenant analytics with zero POS work.
01
AI OCR extraction
Store, date, bill number, line items and totals extracted from any bill format in seconds.
02
Fraud detection
Duplicate detection, tamper analysis, velocity checks and employee-collusion flags built in.
03
SKU-level intelligence
Line items map to categories and brands, enabling category-level campaigns and tenant insights.
04
Instant crediting
Points hit the member wallet within seconds, with a WhatsApp confirmation that keeps engagement high.
How it works
From data to outcome — the agentic workflow.
Snap
Member photographs the bill on WhatsApp or in the mall app.
Verify
OCR + fraud engine validate the bill in under 8 seconds.
Credit
Points issued instantly; SKU data lands in the CDP.
Activate
Purchase data powers segments, campaigns and tenant reports.
Business impact & ROI
100%
tenant coverage without POS
3.4x
more purchase data captured
−90%
bill-desk operating cost
Integrations
FAQ
Receipt-Scan Loyalty — questions buyers ask.
What about handwritten or thermal-faded bills?
The OCR model is trained on Indian retail bills including thermal prints; low-confidence bills route to a human review queue automatically.
How do you stop fraud?
Duplicate hashing, GST validation, store-timing checks, velocity limits and image-tamper analysis catch 99%+ of fraudulent submissions.
Can it run alongside POS integration?
Yes — integrated tenants earn automatically; non-integrated tenants earn via receipt scan. One programme, two capture modes.
Get started
See Receipt-Scan Loyalty on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.