P.PIP.0595 - Final Report - valuation of traceability data in the Lamb supply chain through to custom

Summary

This project aims to identify and understand the data gaps along the complete supply chain from farm, carcase and product, and to use the standardised Australian Guide to Implementing Food Traceability (AGIFT). It will support the integration of these data sets from the MLA data, into a commercial supply chain and undertake analysis and exploration of potential value propositions and use cases, which can subsequently be built upon further.

Objectives

This project will contribute to the ISC 2025 strategic priority 3 by demonstrating a way that the integrity system data can add value through the supply chain. The project will inform and draw data from the NLIS API into the GMP system, and combine it with both MSA grading and MLA consumer insights to produce a more desirable product. Essentially, this project will demonstrate an effective use of, and getting more value from, data.

Other outcomes from this project include:
• Informing ISC on where API enhancements may be required, as well as connecting the traceability platform to the MLA Data Platform. This will include identifying and describing any gaps in the existing data and outlining viable solutions which ISC could implement to address these gaps. Gaps needs to be considered and assessed for industry wide impact vs individual supply chain impact.
• Providing a digital, accessible, low-cost, economically-scalable and authentic traceability platform for proving brand claims to in-market customers (may include animal welfare, MSA) and which enhances integrity systems in Australia.

Key findings

The ISC’s API provides third party vendors with a rich and broad API surface, which enables various use cases and serves various business and commercial requirements, however, due to the currently outdated technology choices, integration can be difficult from the perspective of third-party software vendors. The utilisation of a Simple Object Access Protocol (SOAP) interface, provides a significant challenge, as this protocol has issues when seamlessly linking to most modern web frameworks.

Benefits to industry

At completion of the project, Gundagai Meat Processors (GMP) will have a traceability platform using the AGIFT naming conventions, and MLA will have a case study for industry to use and recommendations on how traceability can be adopted by the Australian red meat industry.

MLA action

Publish final report on MLA R&D website.

Future research

No future research in this area in the near future.