Foodservice & menus

Local menus.
A consistent view.

Make differently named menu items easier to compare without losing the context your market teams understand.

Local menus should retain their meaning.

Regional naming, translated descriptions, changing portion sizes, and different local category conventions make menus difficult to compare. Normalizing the structure should preserve the source wording and context rather than flatten every local difference.

A worked example.

Source wordingProposed shared structure
Thé glacé citron 0,5 LBeverages → Tea → Iced citrus tea → 500 ml
Iced citrus tea 500mlBeverages → Tea → Iced citrus tea → 500 ml

Independent illustrative records. A local reviewer must confirm that flavor, size, composition, and business meaning match. This example does not establish multilingual model accuracy.

Shape a menu-data pilot.

  1. Select a representative sample across the markets and languages in scope.
  2. Agree category, subcategory, product, and variant definitions.
  3. Assign market reviewers and establish an adjudication process for ambiguous cases.
  4. Measure completeness, reviewer agreement, and correction rates.
  5. Identify which comparisons the resulting structure can responsibly support.

Build the foundation for menu comparisons.

A shared product reference can support consistent category and menu-mix analysis. Sales reconciliation, restaurant and channel keys, campaign windows, and causal methods remain separate requirements for performance or effectiveness claims.

Start with a focused evaluation

Your data has a story.
Give it a shared language.

Start with the records that are hardest to compare. Define the taxonomy, review process, and success criteria for a focused pilot.

Start with your
data challenge.

Prepare a focused pilot brief. This form creates a local download only. Nothing is emailed, submitted, or stored on a server.

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