Silverware Develops Label Making App for Business Central Users

Silverware's app enables users to transfer barcode and label data to BarTender with one click.

FREMONT, CA: Phoenix-based software solutions provider, Silverware Inc. developed its newest application to provide customers with an efficient tool for accurately sending data for product label creation. Working with Seagull Scientific, the Silverware team created a first-of-its-kind app that connects Microsoft Dynamics D365 Business Central to Seagull Scientific's best-in-class labeling software, BarTender.

Silverware, founded in 1988, is headquartered in Phoenix and has an office in Seattle. The company specializes in cloud solutions, enterprise resource planning (ERP), solution design, implementation, and support for businesses throughout the U.S.

"Previously, the only option was to enter data manually," explains Sara Silver, president and solution architect for Silverware Inc. "We wanted to provide customers with an automated tool that not only increases accuracy and efficiency, it also offers flexibility and the ability to customize product labels with the information companies want and need to communicate."

Silverware BarTender Integration offers a tool for mapping data in Business Central to fields on the BarTender label. It is designed to streamline the process and provide businesses with full control over label design. Once information is mapped, and design is complete, labels will print from any page in Business Central.

The application supports the Essential and Premium edition of Microsoft Dynamics 365 Business Central and requires BarTender Automation Edition or higher. The company is currently offering new users a free one-month trial through Microsoft AppSource.

Silverware is a Microsoft Gold Partner and a Top 100 BSI VAR Star. Along with Silverware BarTender Integration, the company also developed Silverware QC designed to support a company's quality management strategy. The QC application allows users to drill directly into item details, identify overall production trends before an item becomes a finished good, and gives companies the data they need for continuous process improvement.