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Engagement: WRAP

WRAP Food Loss and Waste Data Taxonomy

Tesseract Academy has been commissioned by WRAP to develop a Food Loss and Waste data taxonomy for its Food Programme and global Food Pact Network.

Status

This engagement is currently in delivery. The material below describes the measurement problem the work addresses. Design detail, outputs and results are held with the client and are not published here.

The Problem

WRAP's UK Food and Drink Pact (formerly the Courtauld Commitment 2030) asks the UK food industry to halve food waste by 2030, in line with UN Sustainable Development Goal 12.3. It unites organisations across the whole supply chain, from primary production through manufacturing and retail to hospitality and the household.

Signatories, and the wider international network of food pacts, report their food loss and waste using locally divergent definitions, product groupings and destination categories. The same physical tonne of waste can be counted under different labels in different countries, different reporting tools and sometimes different parts of the same business.

Without a shared, coded classification system that data cannot be reliably aggregated or compared. Progress against a headline target then rests on numbers that were never commensurable in the first place, and the failure is silent: the totals still add up, they just do not mean what they appear to mean.

Why It Is Hard

The international Food Loss and Waste Accounting and Reporting Standard is a conceptual framework. It settles what should be counted and why, but it is not something a reporting tool can execute. Turning a conceptual standard into implementable, machine-readable data infrastructure means resolving the boundary cases the framework deliberately leaves open, doing so consistently across jurisdictions with different waste regimes, and keeping the result platform-agnostic so that no signatory is forced onto a particular system in order to report.

It also has to survive change. Classifications drift as products, processes and regulations move, so the structure needs version-controlled governance rather than a document that is correct on the day it is signed off.

"Unlike consultancies that design taxonomies as static reference documents, we build structured classification systems as working data infrastructure, with machine-readable schemas, validation rules and hierarchical codes that can be implemented directly in reporting tools."

Dr Stylianos Kampakis, Managing Director, Tesseract Academy

Related open work

Our published, open-source work on the same problem class is available elsewhere on this site: the information loss in UK waste reporting study, and the wastewater data-quality demonstration.