Automating Order Processing and Lab Submission for a DTC Dental Retainer Company
Retainers for Life is a direct-to-consumer dental retainer company serving patients nationwide. Patients order through Weebly and Shopify storefronts, and the company coordinates production across multiple dental labs—each with its own submission requirements, folder structures, and file formats. Every order touches membership verification, arch-type validation, scan file preparation, and lab-specific routing before a retainer can be manufactured.
Each order required roughly 15 minutes of hands-on processing. Staff monitored Weebly and Shopify for new orders, cross-referenced membership data in a separate spreadsheet, manually entered details into a transaction form, evaluated hold conditions based on patient Q&A responses, and tracked progress through chat messages. On the lab side, PDF generation ran on a delay, files had to be moved into lab-specific Dropbox folders by hand, and scan files needed manual cleanup based on arch type. Across hundreds of weekly orders, the cumulative time cost was significant—and the manual handoffs created opportunities for misplaced files, missed validations, and inconsistent data entry.
Streamline built a two-phase automation pipeline using n8n, connecting RFL’s Weebly and Shopify storefronts, membership data, Dropbox file storage, and lab submission requirements into a single automated process.
Phase 1 automated order intake: the workflow detects new orders from Weebly and Shopify, normalizes patient data, matches against the membership database, classifies order type, evaluates hold conditions from Q&A responses, and writes validated records to a structured destination. The validation engine handles arch matching, flags patients whose teeth are still moving, identifies lapsed wear patterns, and routes ambiguous cases for human review.
Phase 2 automated lab submission. Once an order is validated, the system generates the submission PDF immediately and routes it—along with the correct scan files—to the right lab-specific Dropbox folder. Every routing decision is driven by data from the order itself: lab assignment, patient name, and order ID determine the exact folder path. After file placement, the system writes status values automatically that the labs read directly to begin processing—so the automation doesn’t just organize files, it triggers the downstream lab workflow. A verification pass confirms correct lab, correct folder, and correct files on every submission.
What took approximately 15 minutes per order now runs in under 5 seconds, end to end. Orders flow from Weebly and Shopify through validation, PDF generation, and lab routing without human intervention. Files land in the right folders, in the right format, every time—and the status values written by the system tell labs exactly when an order is ready to process. The full pipeline runs without a human in the middle.
A Phase 3 engagement—lab feedback tracking and reconciliation—has been scoped as a follow-on project. The n8n infrastructure, API connections, and validation logic from the current build are designed to support it. Phase 3 extends the system rather than rebuilding it.
