OptaCut

Additional features

Uses AI and big data analytics

Leverages advanced technologies to analyze historical data and patterns, providing accurate predictions for fabric consumption.

Suggests fabric consumption close to the actual value

Offers recommendations for fabric quantities that closely align with actual production needs, minimizing over-ordering and waste.

Simplifies and speeds up cut order planning

Streamlines the process of creating cut plans, reducing time and effort required.

Employs optimization algorithms for the best results

Utilizes advanced algorithms to identify the most efficient and cost-effective ways to arrange fabric for cutting.

Handles complex requirements through user-controlled settings

Allows users to customize the cut planning process to accommodate specific needs and constraints.

Minimizes end bits through intelligent allocation

Optimizes the allocation of fabric rolls to markers, reducing fabric waste and improving efficiency.

Generates lay slips/lay plans for faster and more accurate spreading

Creates detailed instructions for fabric spreading, ensuring accuracy and reducing errors.

Captures deviations during cutting for real-time adjustments

Allows for the identification and correction of any discrepancies or issues that arise during the cutting process.

Provides live cutting status with shortage details

Offers real-time information on cutting progress, including any shortages or discrepancies.

Offers various micro and macro reports for performance analysis

Provides a range of reports to track and analyze performance metrics at different levels of detail.

Tracks fabric usage and other KPIs

Monitors fabric consumption, production efficiency, and other key performance indicators (KPIs).