TYROLIT Schleifmittelwerke Swarovski KG is an Austrian family business and member of the Swarovski Group. Since 1919, they have manufactured grinding, cutting, drilling, and dressing tools, as well as machines for the construction industry. Their incoming freight is large in size and it’s classified by complex serial numbers. This makes the manual registration of incoming goods difficult for both the delivering and receiving parties.
Does the Receipt of Goods Mean Paperwork and Potential Friction to You?
For industrial manufacturers, the receipt of incoming goods is a tricky process. It produces a lot of paperwork and requires a high level of precision when handling incoming data and information. In fact, the information managed in the process of incoming goods is essential in many ways: for freight registration, invoicing and payments, as well as for official controls.
Further, one of the biggest problems that arise is when incorrect goods are delivered. If this is acknowledged too late after the goods are already unloaded, it’s costly in time and resources for all parties involved.
How Industrial Manufacturers Manage Incoming Goods with OCR
TYROLIT has adopted the machine learning and optical character recognition technology of Anyline on the mobile devices of their workforce. This has removed the problems encountered during the complex and mistake-laden identification processes of receiving goods. This is the first case of integrating Anyline’s OCR into an SAP system combined with mobile iOS devices.
The Tirol-based manufacturing producer TYROLIT made a yearly profit of 670 million euros in 2017, making them a world-leader in the tool manufacturing industry. They receive goods from around the world and had managed them through manual data entry in their SAP system. This complex and mistake-laden process has now been simplified by Anyline and brought up to Industry 4.0 standards.
Digitization & Automation of Incoming Goods Receipt
TYROLIT found and implemented an efficient way to digitize the registration of incoming freight. This proves TYROLIT’s highly innovative spirit is in tune with the world of modern digitization and the smart use of mobile devices as work tools.
The process of cataloging incoming goods is greatly accelerated and mistakes are avoided with Anyline’s technology. Work is already in progress to see how this technology can be rolled out in other areas of the TYROLIT Group’s business. “We’re very pleased to have taken a new step in the integration of our OCR technology with a large Austrian family business like TYROLIT,” commented Lukas Kinigadner, founder and CEO of Anyline.
“Anyline is introducing another machine learning use case that brings an identifiable added value to an established company,” says Kinigadner. “We will continue to deliver solid AI technology implementations that deliver value and don’t just sound cool.”
A Smoother Delivery Process with Mobile Scanning
TYROLIT introduced mobile iOS devices as working tools with an OCR solution integrated into their SAP Fiori application. An SAP-Apple partnership, that began in early 2017, has led to SAP Fiori compatibility with native iOS programming language. OCR technology integrated into SAP Fiori and applied on iOS devices is a stable combination and allows you to send collected data directly to the TYROLIT SAP system.
With mobile data capture integrated into the mobile app, staff are able to easily scan lot numbers and automatically send the data to the central SAP system for further processing. The SAP response on whether the delivered goods were the expected ones is almost instant. This saves a lot of time. Further, the amount of redundant paperwork is reduced, the process is resolved quickly and mistakes are drastically reduced. It further eases official controls as the data is digitally stored.
“Anyline’s text recognition technology, through integration with SAP Fiori, helped us to make large improvements to our working processes. The process of collecting and sending information is fast, accurate, and reliable for our workforce. There are fewer manual mistakes and as a result, fewer false deliveries. The solution brings large improvements to our supply chain processes and has become a cornerstone of our digital transformation strategy.”