The critical importance of fabric optimisation

Unprecedented volatility, increasingly fragmented order books and a move to on-demand production, is driving greater complexity and margin pressure in the fashion supply chain. With fabric typically accounting for 50-70% of garment cost and wastage in the cutting room stubbornly high in the face of more styles and lower MOQs, the need for fast, accurate estimation of fabric consumption at the buying stage, and planning and execution of cutting is critical to increasing productivity, reducing fabric wastage and protecting margins.

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Improve productivity

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Reduce fabric wastage

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Increase margins

Man wearing protective glove cutting fabric with fabric rolls in the background

Why change?

Automate and optimise business critical processes

The largely manual and disconnected systems used to manage the complex (and often incomplete) variables which determine fabric utilisation are labour intense and inaccurate resulting in lost time and excess fabric wastage. Manufacturers need to automate and optimise these business critical processes, producing production grade markers and cut plans to drive accurate fabric estimation at the buying stage, with seamless CAD integration, and automate the entire cut order planning and execution process, with real time visibility and reporting.

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Fabric consumption

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Cut planning & order execution

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Real time KPIs & reporting

Typical business benefits

Automating and optimising the estimation of fabric consumption, together with cut planning and execution, drives significant, measurable and sustainable improvements in operational and financial performance. Typical business benefits include:

2 − 0 %

Reduction in fabric cost

0 %

Automation of fabric buying & cutting planning processes

0 %

Fabric tracking

Fabric optimisation solutions

Fabric buying, cut planning and execution solutions for optimised fabric utilisation

IntelloBuy and IntelloCut leverage AI and Big Data analytics to automate and optimise fabric buying through the accurate estimation of consumption, and cut planning and execution, with real time cutting room KPIs and visibility of progress against plan.

IntelloCut and IntelloBuy are fast to implement, intuitive to use and proven to deliver significant and measurable improvements in delivery performance, productivity and quality, supporting a typical return on investment of less than 12 months.

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Optimise and automate fabric buying

IntelloBuy allows manufacturers to accurately estimate fabric consumption at the buying stage.  This allows manufacturers to buy the correct amount of fabric for their orders, reducing fabric costs and increasing margins.

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Automate cut planning and execution  

IntelloCut is designed to give control over fabric usage in the cutting room by optimising key processes, including the generation of cut plans, lay plans and allocation, end bit usage and management, as well as tracking and reporting.

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Take action to embed sustainable practices and processes at the heart of your business

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What our customers say

Delivering real results

5 Song Hong employees looking at a laptop on cutting table in garment factory
#FabricOptimisation

IntelloCut helps Song Hong to reduce 60% of fabric planning time

“IntelloCut helped us with decreasing 60% of the time required for making a cut-plan. Besides, it pointed out the difference between the Production Consumption and Achieved Consumption, which provided us with a picture for consumption adjustment for the next orders respectively.”

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Female Epyllion employee looking at blue and yellow garments in garment factory
#FabricOptimisation

Epyllion Group reduces fabric buying cost by 2% with IntelloBuy

“IntelloBuy has helped us to automate 70% of the total fabric booking activities which has resulted in easier management of the booking data and delivery of accurate fabric booking consumption.”

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Man wearing safety glove cutting colourful fabric with a cutting machine
#FabricOptimisation

Hoodvian Group automates fabric planning and tracking with IntelloCut

Manually filled lay slips were replaced by system-generated digital lay slips, which reduced the team’s manual effort and saved time. Consequently, the factory team was able to automate 70% of their processes.

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