The EU packaging regulation applies from August 2026, the deforestation regulation from December 2026, and the FDA is expected to finalise front-of-pack nutrition labelling. Benchmark builds the software and AI that gets packs right at portfolio scale, starting with automated artwork and label review.
For heads of packaging, regulatory and quality, brand operations and digital in consumer goods.
Consumer goods companies are entering a period where several regulations touch the same physical pack inside the same eighteen months, and the review capacity behind that pack has not grown.
Replaces the 1994 Packaging Directive and applies uniformly across member states rather than through national transposition.
Applies to large and medium operators, with micro and small enterprises given until 30 June 2027.
Two obligations on two different clocks, one of them set by your customers rather than a regulator.
Teams that collect it separately for each regulation will do the work three times.
Packaging development cycles of nine to eighteen months are longer than some of the remaining compliance windows.
“Neither problem is solved by adding reviewers.
Artwork proofreading is line by line comparison work done under launch pressure, and the cost of missing something is a recall or a delisting rather than a correction.
Benchmark builds the systems, automates the checking that used to be a person reading every line, and deploys AI where the reviewer keeps the decision.
Ingredient and allergen declarations, nutrition panels and claim substantiation, with front-of-pack changes ahead and traceability data requirements arriving from retailers before they arrive from regulators.
Multi variant ranges, frequent reformulation and heavy regulatory text on pack, plus packaging data obligations across a large SKU count.
Claim heavy labelling under close regulatory attention, long SKU tails and short launch windows.
Product content, retailer feeds, ecommerce and D2C. The data carrier and Digital Product Passport direction turns product content from a marketing asset into compliance infrastructure.
Listed first here because it is the reason a consumer goods buyer arrives. Applied AI for artwork comparison, label checking and document extraction, deployed as accelerators rather than a blank page.
We build consumer goods applications end to end, from architecture through release. Twenty years of product engineering discipline applied to systems the business runs on daily.
One packaging data model has to serve several obligations at once. Deciding what that model looks like, and where it lives across PIM, ERP and artwork systems, is an architecture problem before it is a compliance one.
Regression coverage for commerce and operations platforms where a defect costs orders. FableRun generates and maintains suites so coverage keeps pace with release velocity.
Consumer platforms fail at the peak, during a promotion or a seasonal spike. We engineer for that peak, not the average.
Interfaces used every day by packaging, regulatory and trade teams. Design that removes steps from the review and approval workflow, which is where the time actually goes.
Six areas of consumer goods where Benchmark has shipped working systems, not slideware.
Where we go deepest, and where the product came from
Collect once, serve every obligation
Built for the promotion peak, not the average day
Exceptions as a designed path
Coverage that keeps pace with the release calendar
Incremental, with trading live
Artwork and label review that is manual, repetitive and unforgiving, on portfolios running to hundreds or thousands of SKUs.
Automated comparison of packaging artwork against approved content, flagging text, ingredient, regulatory and formatting differences so the reviewer works through exceptions rather than every line. Built to leave a record of what was checked and what was found, which is the same evidence a regulator or a retailer asks for later.
Explore LaibelSpecifications, supplier declarations and compliance documents that arrive unstructured, when the same data has to serve several regulations.
Intelligent document processing that extracts structured data from the formats brand and supply teams actually receive, including scans and mixed quality PDFs.
Explore XtractlyRegression testing that cannot keep up with the release calendar.
GenAI test automation that generates, maintains and executes suites, so coverage on commerce and operations platforms expands without adding headcount.
Explore FableRunWhether that is artwork sign off, packaging data spread across four systems, or a platform that has become hard to change, the first conversation is a working session, not a pitch.
