PixelAutomate
Solution

Portioning and food waste in ready meals

portions are corrected manually; deviations and residues are not linked to recipe and shift.

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Sector

C10.85 ready meals and related production activities.

INDICATIVE NACE CODE

Process

preparation → thermal processing → portioning → cooling → packaging → cold chain.

Problem

portions are corrected manually; deviations and residues are not linked to recipe and shift.

What the solution includes

checkweighers; tray-fill camera; portioner data; recipe–batch–shift; QMS weight and microbiology results.

What changes

less raw material and food waste per good portion.

How the result is measured

What we measure
kg food waste / 1,000 good portions
Baseline
weight report by shift
Target
AFTER DIAGNOSTICafter recipe analysis
Evidence
scales and production log.

Business effect

uniform portions, fewer manual corrections, more accurate cost.

Component parts

Physical assets

ДМА — portioning and packaging line, scales, cameras

Software and integration

ДНА — weight and recipe control.

Indicative investment

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

Who does what

PixelAutomate

EvroPixel builds the weight model and deviation logic.

Required partners

food technologist and portioning equipment supplier.

What to keep in mind

hygiene and cold chain; different targets by product family; exact КИД code confirmed.

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