Scaling a receipt-based loyalty program is nearly impossible when relying on manual staff reviews. Discover how retailers and mall operators are using mobile SDKs and AI extraction to provide instant reward credits, detect fraudulent submissions, and process thousands of receipts in seconds to drive higher customer engagement.
Running a receipt-based loyalty program at scale is an operational challenge. Whether customers are earning points for food court purchases, redeeming parking rewards, or qualifying for seasonal promotions, the process starts with a receipt - and validating that receipt manually does not scale.
AI-powered receipt OCR solves this. FormX extracts structured data from receipt images in seconds, powering automated validation for loyalty programs, cashback platforms, and rewards apps.
Receipt-based loyalty programs require customers to prove their purchases. The traditional approach involves customers submitting receipt photos, staff manually reviewing each receipt, verifying the store, date, and amount, then crediting points or rewards.
This manual process creates several problems:
Slow turnaround: Customers wait hours or days for points to be credited, reducing engagement with the loyalty program.
Staff overhead: Each receipt requires manual review - for high-traffic malls processing thousands of receipts daily, this requires dedicated teams.
Fraud vulnerability: Manual review makes it difficult to catch duplicate submissions, altered receipts, or fabricated purchases at volume.
Scaling limits: Seasonal campaigns and promotional events spike receipt volume, overwhelming manual processing capacity.
Customers photograph their receipt using your loyalty app. FormX's mobile SDK helps users take better photos with real-time document detection, live preview, blur detection, camera stabilization, and long receipt stitching for lengthy receipts.
FormX's receipt OCR API uses OCR, machine learning, and natural language processing to automatically extract important data from receipts, including line items with names, quantities, and unit prices. The auto extraction items include but are not limited to the fields available in the pre-built receipt extractor. Custom extraction items can be easily added on the portal.
Your platform validates the extracted data against program rules: correct store, qualifying purchase amount, valid date range, eligible products.
Points or rewards are credited immediately - no manual review required for qualifying receipts. Flagged exceptions route to staff for review.
FormX provides a mobile SDK for Android and iOS specifically designed for receipt capture in consumer apps.
Better input images mean better extraction accuracy and fewer failed validations.
For enterprise plans, FormX includes fraud and AI images detection capabilities. This adds an additional layer of protection against fraudulent or manipulated receipt submissions.
Combined with your own business rules (duplicate detection, amount thresholds, frequency checks), AI-powered fraud detection helps maintain program integrity at scale.
Customers upload receipts from any tenant store to earn points. FormX extracts receipt data including line items with names, quantities, and unit prices for automated validation and point crediting.
Validate food court or retail purchases to qualify for parking discounts. FormX extracts the receipt total and timestamp for automated eligibility checks.
Run time-limited promotions where customers earn cashback on qualifying purchases. FormX extracts line items to verify that purchased products match campaign requirements.
For operators managing multiple malls or retail locations, FormX handles receipts from different tenant stores with varying receipt formats - no template configuration required.
FormX processes each receipt in 4-8 seconds. Customers get near-instant point crediting instead of waiting for manual review.
92% extraction accuracy with proprietary pre-processing and post-processing. For amounts and dates on good quality images, accuracy exceeds 90%.
Process thousands of receipts per day without dedicated review teams. Staff focus on exceptions rather than routine validation.
Instant validation and reward crediting drives higher program engagement and customer satisfaction.
FormX's API-first architecture integrates directly into your loyalty platform backend. Send receipt images via API, receive structured JSON responses with extracted fields.
For platforms using no-code automation, connect FormX to your existing tools. Receipts uploaded to Google Drive or received via email can be automatically processed.
Connect with Google Workspace apps for automated data flow from receipt extraction to spreadsheet tracking and reporting.
Free Trial - $0 for 100 pages. Test receipt extraction with your actual receipt images.
Pay-as-you-go - $0.30 per page with no minimum commitment. Ideal for pilot programs.
Starter - $299/month for 3,000 pages. Suitable for single-location loyalty programs.
Enterprise - Custom pricing with volume discounts. Includes fraud detection, mobile SDKs, custom SLA, dedicated account manager, and private cloud deployment.
Receipt data includes customer purchase details, making security critical:
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Yes. FormX provides a mobile SDK for Android and iOS with real-time document detection, blur detection, camera stabilization, image quality checks, and long receipt stitching.
Yes. FormX's receipt OCR API extracts line items including the name, amount, quantity, and unit price of each item.
The mobile SDK includes long receipt stitching, which captures multiple frames as the user moves the camera along the receipt and stitches them into a single high-quality image.
70%+ field accuracy is typical. For amounts and dates on good quality images, accuracy exceeds 90%. Image quality has the biggest impact on accuracy - the mobile SDK's guided capture features help ensure good input quality.
Enterprise plans include fraud and AI images detection capabilities as an advanced feature.
Yes. Images are processed in-memory and disposed after extraction. All API calls are encrypted with HTTPS. FormX does not store uploaded images or use them for training unless explicitly requested.
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