Every custom Amazon order carried a buyer-uploaded design that had to be turned into a print-ready file by hand and matched to the right production method, a slow step that did not scale across five print processes. Hiral is an event-driven platform that ingests orders, routes each SKU, generates press-ready print files, and hands the job to the factory, fully unattended.
Hiral turns manual, per-order artwork prep into a fully unattended print pipeline. Every custom Amazon order carries a buyer-uploaded design that used to be turned into a print-ready file by hand, matched to the right production method, and handed to the factory, a slow, error-prone step that did not scale across five print processes and dozens of product types. Qbatch built an event-driven platform that watches ShipStation and Amazon for new orders, pulls each buyer's artwork, and uses a SKU rulebook to decide how every item is produced. It generates the print files, converts them to press-ready PDFs, uploads them to AWS S3, and updates ShipStation so the factory's Linx system can pick up the job. Failures self-heal through automatic retries, and anything that still breaks is reported to the team on Slack in real time, letting the operation scale order volume without adding art-prep labor.
Qbatch delivered a Python platform orchestrated with Dagster, using jobs, ops, sensors, and schedules behind a QueuedRunCoordinator and daemon so the whole loop runs event-driven and unattended. Sensors ingest orders continuously from the ShipStation REST API by tag and from the Amazon SP-API over LWA OAuth, then a SKU rulebook routes each item to its production method, style, color, and size. A graphics pipeline built on CairoSVG, Scribus, pikepdf, PyPDF2, img2pdf, Pillow, and svgutils turns artwork into press-ready PDFs across five print methods and more than fifteen product types, stores them in AWS S3, and writes packing-slip data back to ShipStation for the factory's Linx system. Automatic retries with backoff self-heal transient failures, real-time Slack alerts surface anything that still breaks, and automated log cleanup keeps the pipeline running 24/7.
Qbatch builds AI-native systems, workflow automations, and modern digital products for ambitious teams.