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AI-Powered RX Transcription Application for Retail Eyewear
  1. case
  2. AI-Powered RX Transcription Application for Retail Eyewear

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AI-Powered RX Transcription Application for Retail Eyewear

coherentsolutions.com
Retail
eCommerce
Health & Fitness

Inefficient and Error-Prone Prescription Ordering Process

SpectraVision currently relies on manual transcription of customer-provided prescriptions by opticians, which is time-consuming (up to 23 minutes per complex order) and prone to human errors. This impacts operational efficiency and customer experience.

About the Client

SpectraVision is a leading eyewear brand with a large network of retail stores and a strong online presence, offering prescription glasses and sunglasses.

Project Objectives

  • Automate RX transcription to reduce manual effort and processing time.
  • Minimize transcription errors to improve order accuracy.
  • Enhance the customer experience through a faster and more efficient ordering process.
  • Enable seamless integration with existing point-of-sale (POS) and e-commerce systems.
  • Expand RX transcription capabilities to the online ordering channel.

Functional Requirements

  • Optical Character Recognition (OCR) for RX data extraction.
  • Support for diverse RX formats and layouts.
  • Data validation and error detection (e.g., expired RX, invalid values).
  • Correction logic to address transcription errors.
  • Integration with the client’s POS system.
  • Integration with the client’s e-commerce platform.
  • User-friendly iPad application for in-store use.
  • Secure storage and handling of PHI data.
  • Alerting system for potential issues (e.g., errors, expired RX).

Preferred Technologies

Artificial Intelligence (AI)
Optical Character Recognition (OCR)
Mobile App Development (iPad)
Serverless Architecture
Business Associate Agreement (BAA) compliant data storage

Integrations Required

  • SpectraVision Point of Sale (POS) System
  • SpectraVision E-commerce Platform
  • HIPAA-compliant data storage solution

Key Non-Functional Requirements

  • High accuracy (minimize transcription errors).
  • Scalability to handle a large volume of prescriptions.
  • Performance (fast processing time).
  • Security (HIPAA and PHI compliance).
  • Reliability (consistent operation).
  • Adaptability to varying lighting conditions and RX formats.

Estimated Business Impact

This project is expected to significantly improve operational efficiency by reducing prescription ordering time by at least 75%. It will also enhance customer satisfaction by providing a faster and more convenient ordering experience, and enable expansion into the online sales channel. The reduced errors will also lower fulfillment costs. The ability to analyze prescription data may also lead to valuable insights into customer preferences and trends.

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