// demand map
What people search for, in aggregate.
Every Fuzzy Sommelier text search is parsed into a structured intent. We never store the raw query, the IP, or any session identifier. Below is the aggregated view — a live example of what an OOMF Vibe Search pilot delivers as its Phase 3 deliverable.
queries logged
26
days active
4
countries
1
latest
2026-06-03
// k-anonymity: every chart below requires ≥10 matching searches before any slice is shown. Lower-frequency segments are hidden by design. See /privacy for the full privacy contract.
// top foods
What people are eating
// occasions
When they're eating
// max budget (user-set only)
What they want to spend
Only counts queries where the user explicitly chose a max budget. Claude-inferred budgets are excluded — clean demand signal.
// color preference
Red, white, or no preference
// geography
Where searches come from
// trend
Last 30 days
// for catalog owners
This is what your Demand Map would look like.
Fuzzy Sommelier is OOMF’s reference implementation. The same engine runs on your catalog as a 2-week pilot — text search + image search on the front, your own Demand Map on the back. Phase 3 of every pilot is reviewing this dashboard populated with your customers’ actual searches.