PixelAutomate
Solution

Optimised fabric cutting

cutting does not fully use available remnants; defects and colour batches restrict order combining.

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Sector

C13.9 and C14 per product.

INDICATIVE NACE CODE

Process

fabric roll → spreading → scanning → cutting → labelling → sewing → remnant registration.

Problem

cutting does not fully use available remnants; defects and colour batches restrict order combining.

What the solution includes

defect scanner; QR remnant identity; cutting machine link; placement algorithm; inventory by material, colour and batch; MES/ERP link.

What changes

higher fabric utilisation and more parts from good remnants.

How the result is measured

What we measure
% used area of laid fabric
Baseline
markers and stores records
Target
AFTER DIAGNOSTICafter pilot markers
Evidence
cutting programme and remnant register.

Business effect

lower fabric cost and fewer unidentified remnants.

Component parts

Physical assets

ДМА — scanner and cutting machine

Software and integration

ДНА — algorithm and digital inventory.

Indicative investment

The concrete value is set per client after technical design and current quotations.

Who does what

PixelAutomate

EvroPixel builds the algorithm and inventory.

Required partners

cutting equipment supplier and textile constructor.

What to keep in mind

grain, pattern and colour-batch constraints; proof on real models; machine-software compatibility.

Link to a funding programme

Scope and clarifications

The intended result is verified with data from your process rather than assumed in advance. For a funded project, your SME is the beneficiary. PixelAutomate is the brand under which we work. The contracting company is identified in the quotation, contract, and invoice.

NEXT STEP

Start with the process you want to improve.

We will clarify the problem, the measurement, and the next viable step.

Book a Business Audit