A DTC eyewear brand was losing customers at prescription verification, a manual, contractor-dependent step that introduced delays and errors, holding checkout conversion at 10%.
Every failed verification was a lost sale. Scaling the business meant either hiring more contractors or finding a way to automate a medically sensitive process with no tolerance for mistakes.
Devdash Labs built a custom prescription verification pipeline for a DTC eyewear brand, combining OCR for image extraction, Claude for medical validation, and LangGraph for workflow orchestration, running on AWS Lambda serverless infrastructure and integrated directly into the client’s Shopify checkout flow to trigger automated approvals or route exceptions for human review.
Checkout conversion improvement from 10% to 15% translates to an estimated $200K in additional annual revenue.
Manual prescription verification team replaced entirely by automated pipeline, saving $40K annually in contractor costs.
Full pipeline, OCR extraction, AI validation, Shopify integration, shipped from project start to working deployment in 4–6 weeks.
- How One E-Commerce Co Cut Processing Cost 84%Fractional AI · Retail & E-Commerce
- How One Gov Data Firm Cut Doc Time 6 Hours to 15 MinMachine & Partners · Government & Public Sector
- How Cando Rail Cut Risk-Assessment Time 83% With AIFractional AI · Transportation & Logistics
- How a Fintech Platform Pushed Fraud Precision to 99%Casper Studios · Financial Services