Ticket Manager

With the Ruckit Ticket Manager, trucking companies are able to take the hundreds of various paper tickets they recieve each week and, utilizing OCR and ML technologies, digitize those tickets in a far more efficient manner than the typical manual process, shaving down time spent getting tickets into a database from a days long process to minutes.

During a hackathon I proposed the idea of a 'bulk uploader' which ingested hundreds of tickets at a time, allowing users to bulk associate data using their existing Ruckit data (which continually updates if they decide to add new trucks/jobs/etc.), and the project was deemed efficient enough from all ideas proposed to be pursued as a legitimate product for the company. As development got underway, I spent a lot of time beefing up extra features that turned into core functionality, including a robust OCR pipeline which uses ticket context to detect ticket numbers, weights, and dates, as well as a direct to website scan pipeline which allows user to scan tickets directly from a scanner and see those scans show up on the website with the OCR results already populated.

Thanks to the intimate relationships we keep and maintain with our existing Ruckit customers, we were able to roll out the Ticket Manager in a fast and easy way to a select group who wanted it the most for their business. With this feedback loop in place we were able to get the product in people's hands in months instead of the years it might take otherwise, as well as gain valuable insights and feedback upstream in the development process that was able to shape our priorities upfront as opposed to being purely reactionary when it comes to implementing feedback.