An Intelligent Approach to Labeling & Artwork
Many organizations today are experiencing unprecedented demands from regulatory authorities and consumers alike for product labeling to be made clearer and more informative. As companies seek to continuously differentiate themselves in established markets as well as gain entry into new territories, the increase in both volume and complexity of product and market variations will have a direct impact on labeling.
This white paper outlines how using an intelligent rules engine to orchestrate, review, approve and distribute labeling content will help organizations handle market challenges more efficiently and cost effectively.
Quote from Whitepaper: At its simplest level, a rules engine consists of a set of rules that can act upon a number of ‘facts’ stored within a ‘fact model’. The accuracy and quality of any decision being determined by the data and facts stored within the application. In the context of labeling, a ‘fact’ may be a statement, symbol, image, phrase, barcode or any other component appearing on a label.