Intelligence · Component · planner-candidate-ranking

Planner candidate ranking and context

Working Synthetic data T2 · Vector Space & Ranking

What it does

Combine grounding, benefits, reviews, prices and availability into explainable stay candidates and city context cards.

Core pattern

Constraint and fact scoring + missing data and tradeoff explanations

Input
Trip constraints and available hotel facts
Output
Ranked hotels, pick reasons, tradeoffs and missing-data status

Key parameters

NameTypeDefaultValues
city———
budgetnumber00–1000000000
traveller_segment———
required_categories———
limitinteger201–1000

Maturity and limits

Working

Candidate API tests and explicit scoring/filter functions. Static source inspection only; no runtime, provider, deployment or test-pass claim.

No root license found; sourced travel facts require rights and freshness checks. Credentials and user travel data need protection; architecture docs include components not implemented here.

Used in pipelines

Not part of a pipeline yet; available as a standalone component.

Industry tags

  • Travel & hotelsSource-supported industry

    For work involving destinations, room rates and bookings, use constraint and fact scoring followed by missing data and tradeoff explanations.

  • Manufacturing & industryTransferable use

    For unified lookup of spare-part catalogs and equipment records, use constraint and fact scoring followed by missing data and tradeoff explanations.

Skills pack

Contract scaffold and deterministic mock

Download · 10KB

SHA-256 abbbdbb16298a49e2f58eafdf282a8d38529b87c9ee9c0b2262e3388673a8744

Related components

Skill pack download

You are downloading

Get the skill pack

Tell us who you are and the download starts right away. We read every request and follow up only about this capability.

Contact

We send the download link here as well.

Company address