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Industry Segment

Food & Beverage

Farm-to-table integrity depends on knowing a product's real origin — verification protects both consumer safety and provenance claims.

Batch Traceability
1 in 6
Packaged food & beverage batches flagged for tamper/mislabel risk in unverified channels
4.2M+
Illustrative monthly batch-traceability scans across participating brands
Key Focus Areas

Key Focus Areas

Batch-level origin and harvest-date metadata tied to each code for provenance claims.
Cold-chain and shelf-life data embedded in the Digital Product Identity record.
High-throughput QR generation suited to fast-moving beverage and packaged-food lines.
Retailer-side bulk verification tools for high-volume stock intake.
Consumer-facing scan flows that surface farm-to-table sourcing stories, not just a pass/fail result.
Alert routing to food-safety and regulatory teams when a flagged batch is detected.
Illustrative Counterfeit/Tamper-Flag Rate by Category
Spirits & Wine 80% Dairy 44% Packaged Snacks 34% Edible Oils 60%
Risk AreaWhy It MattersVerification Touchpoint
Spirits & wine counterfeitingHigh resale value makes refilled/relabeled bottles commonBottle-neck QR scan at retail & bar intake
Dairy mislabelingShort shelf life raises safety stakes of a mislabeled batchCold-chain scan checkpoint at distribution
Origin/organic claim fraudPremium pricing depends on verifiable sourcing claimsConsumer-facing scan at point of purchase
Packaged goods tamperingTamper events can trigger large-scale recallsSeal-integrity scan at retailer stock intake
Batch recall targetingFast, precise recalls limit safety exposure and costRegulatory alert routing on flagged-batch scan
Why It Matters

The Stakes for Food & Beverage

Food and beverage counterfeiting and mislabeling is as much a safety issue as a brand issue.
Provenance claims (organic, single-origin, regional) are only as credible as the verification behind them.
Fragmented distribution networks make manual authenticity checks impractical at scale.
Fast, accurate recalls depend on knowing exactly which batches reached which shelves.

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