Automating Invoice Processing Using OCR with Lapso
About The Client
Lapso is an innovation-driven platform that has been designed to ease post-sales service and warranty management for retailers and companies. Lapso digitalizes core processes, bringing efficiency to backend manual processes, while its main feature provides hassle-free product registration by collecting information directly from invoices, enhancing speed and reliability for both the customer and the retailer.
Client Challenge
Before automation, the merchants that were using Lapso had to manually enter product information from each and every invoice in order to facilitate warranties. This was not just time-wasteful, but the procedure was prone to system slowdowns and data mismatches.
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Manual entry of data such as product name, model, purchase date, and invoice number
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Increased chances of human error leading to failed warranty activations
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Delays and frustration for end users and service agents
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Poor scalability as the number of transactions increased
Lapso needed a scalable, intelligent solution to eliminate this bottleneck and ensure smoother workflows across its growing user base.
Project Objective
The primary goal was to automate invoice reading using AI and OCR technology. The envisioned solution would extract, validate, and populate product data in real time, minimizing the need for human input while ensuring accuracy.
Solution Developed
IConflux delivered a tailored AI-based OCR engine that seamlessly integrated into the existing Lapso ecosystem. This allowed retailers to upload invoice files in multiple formats (PDFs, images, or mobile photos) and instantly extract all necessary information with high accuracy.
Core components of the solution included:

A robust OCR engine trained on diverse invoice templates

Layout detection and context mapping using Computer Vision

Real-time field extraction covering:

Customer name

Product name

Model Number

Purchase Date

Invoise Number

Error detection and data validation logic

Seamless API connectivity with the Lapso backend
Key Features
The implemented OCR system introduced a suite of productivity-enhancing capabilities:
Multi-format support
Compatibility with scanned images, PDFs, JPGs, PNGs, and photos
AI-driven adaptability
Learns from new data to improve extraction accuracy over time
Rapid processing
Extracts and populates data fields within seconds
Accuracy checks
Identifies inconsistencies and flags potential errors
Non-disruptive integration
Works within the existing Lapso environment without requiring workflow changes
Results & Impact
Usage of IConflux’s AI-powered OCR solution made remarkable additions to the business output of Lapso. One of the most significant outcomes was a 95% reduction in manual data input, thereby considerably decreasing the workload for the people in the retail industry and the probability of errors by humans.
In addition, handling invoices was rendered three times faster, enabling real-time activation of warranties and speeding the whole service flow.
This greater efficiency also led to a considerable decrease in the number of rejected warranty claims. With numbers taken off invoices now so precise, the mistakes previously at the root of unsuccessful warranty activations have decreased dramatically. This equated to increased customer satisfaction, with end users enjoying faster, more efficient service without the inconvenience of rejected claims or delay.
In addition, the system’s automation capabilities allowed for easy scaling of operations for Lapso. Regardless of the increasing number of users, no new manpower or administrative assistance was needed, thereby ensuring the solution was affordable and future-proof.
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