Application of ai driven system for estimation of orders in the printing industry

Abstract

Printing enterprises face growing competition, rapid tech progress, and higher demands for efficiency and quality. In this context, fast and accurate order evaluation is essential for resource optimization, cost reduction, and competitiveness. Traditional methods − manual input, expert judgment, and classic financial models − are labor-intensive, inflexible, and poorly suited to today’s diverse technologies.
Intelligent information systems offer significant value by automating data analysis, revealing hidden patterns, and supporting informed decisionmaking. Their use streamlines production, lowers costs, and boosts financial performance.
Although many printing stages (prepress, color management, quality control) are automated, smart order estimation remains underdeveloped − creating bottlenecks, especially for small and medium print runs.
This article presents the adaptation of the Flex Estimate AI system for the printing industry. Initially designed for IT project evaluation, the system was enhanced with machine learning and data mining to deliver automated, transparent, and accurate order assessment. Its adoption improves planning, optimizes workflows, and strengthens business resilience during digital transformation.