Traced wine

Each bottle carries a verifiable record of its origin, readable from a QR code on the label.

Reference image for wine provenance and bottle traceability

Situation and baseline

A small producer sells through importers and specialist retailers, while origin, lot and tasting details sit in spreadsheets and print collateral. Each export market adds evidence and labelling requirements.

The challenge

Make traceability useful without turning a marketing claim into an unverifiable guarantee or exposing sensitive supply-chain details.

Approach and timeline

  1. Diagnose

    Define claims requiring evidence, data owners and customer-visible fields; distinguish recorded facts from producer narrative.

  2. Design

    Model lot identifiers, harvest and production records, then test the link from package code to maintained source data.

  3. Integrate

    Create a fast multilingual QR destination with provenance, producer context and explicit limits on what is verified.

  4. Learn and refine

    Test scans and upkeep on a limited run, collect partner feedback and review each market's labelling rules.

Agents, automations and stack

A provenance service resolves bottle or lot identifiers to approved records. An assistant may draft translations from verified fields for human approval. A tamper-evident ledger is considered only when partner trust requires it; a blockchain cannot make inaccurate inputs true.

Deliverables

  • Claims and evidence register
  • Lot-to-bottle model, multilingual QR experience and correction process

Outcome indicators

  • Bottles with verified records

    Baseline: — Target: 180,000

  • Product-page QR visits

    Baseline: — Target: 7,200

  • Markets with compliant labels

    Baseline: 4 Target: 9

  • Observed price premium

    Baseline: — Target: +14%

How we measure

Verified bottles have complete, reviewed records. QR visits are unique sessions with bot filtering disclosed. Markets mean compliant live distribution, not leads. A price premium needs like-for-like net prices over a defined period and cannot be attributed to traceability without a comparison design.

Risks and guardrails

Publish only substantiated records, show update dates and limits, protect supplier identities where needed, and review privacy, labelling and alcohol-promotion rules per market.

What comes next

Review a full vintage and distribution cycle, measure partner adoption and customer understanding, and expand only if record upkeep remains reliable.

Related scenarios

Facing a comparable operating challenge?

We can map the workflow, establish a baseline and decide together whether automation is appropriate.

Discuss a workflow

Case studies info@mia17.com