Meat Logic reaches commercial readiness for red meat processors

Meat & Livestock Australia has reported the development of a commercially ready Meat Logic decision-support platform, following pilot work integrating carcass measurement, production planning, yield, traceability and financial information within red meat processing operations.

The project, published on 14 October 2026, has brought together capabilities developed through the Advanced Livestock Technologies Measurement programme, including the Lamb Value Calculator, Carcass Optimisation Tool and an earlier Meat Logic prototype. Its objective is to provide processors with a coordinated system for using production and carcass data when making operating and commercial decisions.

Implementation at a pilot processing plant reduced administrative effort associated with production planning, reporting and reconciliation by more than 90%, according to the completed project report. The result concerns specific administrative activities at the demonstration facility, rather than an equivalent reduction in processing labour or total production costs.

Meat Logic now combines information covering production, labour, costing, yield, traceability and profitability in a single business intelligence environment. The platform is intended to address the fragmented records that can prevent processors from understanding how individual carcass characteristics affect their final manufacturing and commercial outcomes.

Red meat processing creates substantial quantities of information as livestock are slaughtered, measured, graded and converted into saleable products. Carcasses differ in weight, composition, quality and the presence of defects, requiring processors to make decisions about allocation, cutting and the recovery of finished products.

These decisions affect the relationship between raw material cost and the value of the products obtained. Two carcasses of similar weight may produce different quantities or combinations of cuts, while customer specifications can influence the commercial value of the resulting output.

Objective Carcass Measurement technologies provide information about measurable characteristics relevant to these decisions. Depending on the equipment and application, those characteristics can include dimensions, composition and attributes used to assess expected yield or quality.

Measurement data becomes more useful when it can be connected to the products recovered during processing. A predicted yield provides one reference point, but the actual result depends on cutting specifications, processing losses and how each part of the carcass is allocated.

Meat Logic integrates these information sources to support the comparison of planned and actual production. It also incorporates carcass hook tracking, allowing information recorded during earlier processing stages to remain associated with the relevant carcass as it moves through the operation.

Maintaining that relationship becomes more complicated when a carcass is divided into multiple cuts and individual products. A single incoming item can generate several output records, each with different weights, specifications and destinations.

Traceability systems must preserve the appropriate connections between those records. Accurate scanning, identification and weighing help establish which raw material contributed to each finished product, while errors at transfer points can compromise the information used for later reconciliation.

Traditional spreadsheet-based management can make this work difficult when information is copied manually from production records, quality systems and costing data. Differences in product codes, recording periods or measurement units may require additional checking before the records can be compared.

Automated integration can reduce repetitive administration by transferring compatible information between systems and applying consistent calculations. The benefit depends on the reliability of the underlying records and whether the connected applications use definitions that can be reconciled correctly.

The pilot reduction of more than 90% demonstrates the potential to reduce these administrative tasks substantially. It does not establish that every processing plant will achieve the same result, particularly where existing software, equipment interfaces and operating arrangements differ.

Production planning also involves deciding which carcasses should be allocated to particular products. An individual animal’s characteristics may make it more suitable for one cutting specification than another, depending on the required weights, product mix and expected recovery.

Linking carcass characteristics with current production requirements can improve the information available for allocation. Processors may then compare expected yield and commercial value against the available cutting capacity, labour resources and customer demand.

The relationship between yield and profitability is not always straightforward. Recovering more material by weight may not produce the highest commercial return if the additional output has a lower selling value or requires greater processing expenditure.

Combining yield records with costing and sales information allows these differences to be examined. Labour, production losses and the allocation of overheads can influence the margin associated with particular products, although the platform’s reporting accuracy remains dependent on the quality of the costs supplied to it.

Carcass defects and animal health observations introduce another information requirement. Recording these characteristics alongside production data can support product assurance and help processors analyse whether particular livestock attributes are associated with differences in processing outcomes.

Such analysis requires consistent classification of the observations and accurate identification of the relevant animals or carcasses. Data recorded using different assessment methods may need validation before it can be compared reliably across production periods or facilities.

The completed project reports improved transparency and decision-making at the pilot operation. Meat & Livestock Australia recommends wider commercial deployment and evaluation to establish how the platform performs in businesses with different equipment, livestock types and production arrangements.

Implementation will require connections with existing weighing systems, production management software, traceability records and other sources of operating information. Older equipment may not provide data through interfaces that can be integrated directly, while manually recorded information may need additional validation.

Consistent product identification is particularly important when multiple systems use different codes or terminology for the same cut or processing stage. Without reliable mapping between those systems, the combined records may produce misleading comparisons despite appearing complete.

The development programme also identifies predictive analytics, machine learning and scenario modelling as areas for future work. These capabilities could use historical measurements and production outcomes to support forecasting, but the October project report does not establish that advanced predictive functions have been validated across commercial processing operations.

Any future optimisation system will need to account for changing customer requirements, variations in carcass characteristics and the constraints of actual processing equipment. Recommendations based on previous production may require adjustment when the available material or operating conditions differ.

The Meat Logic project has established a functioning integrated platform and demonstrated a substantial administrative benefit at one pilot facility. Wider adoption will determine how consistently the system can improve planning, traceability and commercial decision-making, and whether the results can be reproduced across different red meat processing operations.