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Case studyLaibel Case Study

Laibel, Benchmark's AI-powered artwork compliance validation platform, replacing manual, line-by-line packaging review for a 25+ market FMCG portfolio.

Industry
FMCG / Consumer Packaged Goods
Headquarters
Amsterdam
Laibel Case Study
70%
Faster artwork review
Key Metrics Measured after
rollout
0%
Faster Artwork Review
0%
Label Discrepancy Detection Accuracy
0%
Fewer Rework and Reprint Cycles
0%
Faster Time-to-Market
0%
Validation Runs in Structured Audit Trail
Background

An FMCG company outgrowing manual artwork review across 4,000+ SKUs and dozens of markets.

A leading Europe-based FMCG company with a diverse portfolio of packaged foods, beverages, and personal care brands operates across 25+ markets in Europe, the Middle East, and Asia.

The company manages more than 4,000 active SKUs, supported by a network of 12 manufacturing sites and multiple co-packing partners.

Every product it ships carries regulated, multilingual packaging—ingredient declarations, allergen statements, nutrition panels, barcodes, and market-specific legal text—making artwork accuracy a business-critical function.

A single undetected error on pack can trigger costly reprints, product recalls, and regulatory penalties.

Yet the company's artwork review process remained almost entirely manual, relying on line-by-line human checks that could not keep pace with the volume, speed, and compliance demands of its expanding portfolio.

The client's packaging operations sit at the intersection of marketing, regulatory affairs, and supply chain.

Each product launch, reformulation, or label change generates multiple artwork versions across languages and markets, with region-specific regulatory requirements layered on top.

The company's quality and regulatory teams were responsible for verifying every artwork against approved copy documents and master data before print release—averaging several hundred artwork approvals per month during peak launch cycles.

As SKU counts and market coverage grew, the manual review model became a bottleneck: slowing launches, straining teams, and exposing the business to compliance risk.

Background
FMCG / Consumer Packaged Goods
Amsterdam
Challenges faced & defined solution

6 real bottlenecks. 6 matching fixes.

Every operational bottleneck reported was matched to the workstream(s) that resolved it.

The challenge

Manual, Line-by-Line Artwork Review

Quality teams compared artwork files against approved copy documents visually, a slow and fatigue-prone process that consumed days per SKU.

Defined solution

AI-Powered Artwork Compliance Validation

Laibel automatically validated packaging artwork against approved copy documents and master data, flagging discrepancies in text, ingredients, allergens, nutrition information, claims, and regulatory content.

Review by Exception

Instead of reading every line, reviewers focused only on the deviations Laibel surfaced - transforming a days-long check into a targeted, minutes-long review.

The challenge

High Risk of Undetected Errors

Dense label content—ingredients, allergen declarations, nutrition panels, claims, and legal text—made it easy for discrepancies to slip through, risking recalls and reprints.

Defined solution

AI-Powered Artwork Compliance Validation

Laibel automatically validated packaging artwork against approved copy documents and master data, flagging discrepancies in text, ingredients, allergens, nutrition information, claims, and regulatory content.

The challenge

Multilingual and Multi-Market Complexity

Packs carried content in multiple languages with market-specific regulatory requirements, multiplying the review effort for every artwork.

Defined solution

Multilingual & Multi-Market Validation

The platform validated content across languages and market-specific label requirements in a single pass, ensuring consistency on every regional pack.

The challenge

Version Proliferation

Frequent artwork revisions made it difficult to confirm that only approved changes were introduced between versions and that no unintended edits crept in.

Defined solution

Version Comparison & Change Detection

Side-by-side artwork comparison highlighted every difference between versions, confirming that approved changes were implemented and no unintended edits were introduced.

The challenge

Barcode and Symbol Verification Gaps

Barcodes, recycling marks, and mandatory symbols were checked manually, with no systematic validation of accuracy or print-readiness.

Defined solution

Barcode & Symbol Verification

Automated checks validated barcode accuracy and the presence and correctness of mandatory symbols and marks on every artwork.

The challenge

No Structured Audit Trail

Review outcomes lived in emails and marked-up PDFs, making it hard to demonstrate compliance or trace who verified what, and when.

Defined solution

Structured Audit Trail & Reporting

Every validation run, finding, and reviewer decision was logged, producing audit-ready compliance reports for internal QA and regulatory inspections.

The Impacts

Real, measurable improvements in review speed, accuracy and audit readiness.

Faster Artwork Approval Cycles

Automated validation and review by exception compressed artwork review from days to hours, accelerating product launches and label changes.

Reduced Compliance Risk

Systematic detection of label discrepancies significantly lowered the likelihood of non-compliant packs reaching print and market.

Fewer Reprints and Rework Loops

Errors were caught before print release, cutting the cost and delay of artwork rework and reprint cycles.

Consistent Quality Across Markets

Multilingual, market-aware validation ensured every regional pack met the same compliance standard.

Audit-Ready Governance

A complete, structured validation history strengthened the company's position in quality audits and regulatory inspections.

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