Travel & hotels

Steps in this industry’s terms · 5 steps

1. 01

   Complete trip constraints

   Input

   Traveler requirements, budget and dates

   Output

   Budget, timing and preference list

   • Trip intake and constraint extractionNatural-language intake + hard constraints and missing fields
   • Mobile planner and travel pulse workspaceEditable intake and shortlist + plan status views
2. 02

   Gather accommodation candidates

   Input

   Budget, timing and preference list

   Output

   Source-linked hotel candidates

   • Streaming travel conciergeConversational intake + tool search and candidate cards
   • Streaming mobile AI conciergeIncremental conversation parsing + mobile candidate views
3. 03

   Build and compare itineraries

   Input

   Source-linked hotel candidates

   Output

   Itinerary draft and version differences

   • Versioned itinerary planning and replanningConstraint-based plan assembly + version diffs and replacement records
4. 04

   Traveler approves changes

   Human review

   Input

   Itinerary draft and version differences

   Output

   Traveler-selected itinerary version

   Decided byAssigned reviewer or requesting user

   • Mobile planner and travel pulse workspaceEditable intake and shortlist + plan status views
   • Versioned itinerary planning and replanningConstraint-based plan assembly + version diffs and replacement records
5. 05

   Refresh quotes and execution data

   Input

   Traveler-selected itinerary version

   Output

   Refreshed quotes, task state and new changes

   • Resumable planner execution runtimePersisted plan tasks + refresh, cancellation and resumption

Steps in this industry’s terms · 4 steps

1. 01

   Collect and stage supplier records

   Input

   Permitted supplier data, legacy catalog and canonical fields

   Output

   Staged hotel and voyage data with provenance

   • Travel master and inventory synchronizationUpstream record staging + import audits and snapshots
   • Cruise itinerary, fare and ship crawlingBrowser batch collection + structured details and progress
   • Legacy data and provenance migrationLegacy record mapping and import + orphan and completeness checks
2. 02

   Resolve places and accommodation

   Input

   Staged hotel and voyage data with provenance

   Output

   Canonical entities, details and aliases

   • Multi-provider cruise catalog normalizationNested source data normalization + relational tables and error reports
   • Hotel catalog and media ingestionQueued supplier catalog ingestion + media and price caches
   • Canonical geography, hotels and POIsHeterogeneous name resolution + canonical entities and aliases
3. 03

   Check tags and fact gaps

   Input

   Canonical entities, details and aliases

   Output

   Classification results and missing amenity facts

   • Semantic hotel taxonomy assignmentVersioned taxonomy rules + source-linked tag assignments
   • Grounding coverage and repair planningFact coverage checks + targeted enrichment tasks
4. 04

   Editor reviews added facts

   Human review

   Input

   Classification results and missing amenity facts

   Output

   Accepted catalog facts and sources

   Decided byAssigned reviewer or requesting user

   • Web-grounded destination and hotel researchEntity fact research + structured provenance snapshots
   • Destination and hotel grounding cardsEntity-based fact retrieval + fit reasons and evidence

Steps in this industry’s terms · 5 steps

1. 01

   Align order and channel tables

   Input

   Hotel orders, stays, traffic and prior weekly reports

   Output

   Business tables with scope and attribution

   • Dashboard table extractionAuthorized dashboard table extraction + scope and source metadata
   • Authenticated warehouse query adapterAuthorized query submission and polling + normalized result tables
   • Partner attribution mapping and quality checksSource mapping joins + ownership conflict flags
2. 02

   Compare stays and source windows

   Input

   Business tables with scope and attribution

   Output

   Stay trends and channel comparisons

   • Hotel demand, order and traffic analyticsTime, region and entity aggregation + trends and window overlaps
   • Inbound hotel cohort timepoint metricsWorkbook entities joined to historical values + period summaries
   • Booking lead-time and stay-pattern analysisTime-grouped records + lead-time and cycle comparisons
3. 03

   Find unusual hotel segments

   Input

   Stay trends and channel comparisons

   Output

   Exception candidates and low-base caveats

   • Hotel campaign spike detectionCurrent versus historical windows + anomaly candidate evidence
   • Order-to-traffic anomaly diagnosticsSegmented metric drilldowns + scope differences and divergence
4. 04

   Editor checks explanations

   Human review

   Input

   Exception candidates and low-base caveats

   Output

   Reviewed explanations and unresolved causes

   Decided byAssigned reviewer or requesting user

   • Campaign and holiday evidence enrichmentChanges aligned with calendar candidates + source review queue
5. 05

   Archive the report and follow up

   Input

   Reviewed explanations and unresolved causes

   Output

   Bilingual weekly report and continuing items

   • Ranked findings and weekly follow-upAnomaly impact ranking + prior finding follow-up
   • Bilingual weekly hotel performance reportsAligned period comparisons + archived bilingual weekly reports

Steps in this industry’s terms · 4 steps

1. 01

   Locate matching hotel offers

   Input

   Rate screenshots, hotel links and stay conditions

   Output

   Offer sources and screenshot collection records

   • Hotel platform URL discovery and mappingEntity name to page matching + regional parameter caching
   • Multi-OTA live rate collectionMulti-site quote collection + condition normalization and failure diagnostics
2. 02

   Read room, price and conditions

   Input

   Offer sources and screenshot collection records

   Output

   Room, date, occupancy and price candidates

   • Multi-image OTA rate extractionPaired screenshot field recognition + structured comparison records
   • Booking URL field extraction and provenanceLink parameter extraction + field-level provenance and confidence
3. 03

   Align meals, taxes and cancellation

   Input

   Room, date, occupancy and price candidates

   Output

   Comparable room prices and benefit state

   • Normalized rate snapshots and historyComplex quote field normalization + deduplicated snapshots
   • Hotel benefit evidence and comparisonSide-by-side benefit facts + commitment status distinction
4. 04

   Advisor checks and compares tradeoffs

   Human review

   Input

   Comparable room prices and benefit state

   Output

   Reviewed differences and items requiring repricing

   Decided byAssigned reviewer or requesting user

   • Hotel and rate decision supportCost, flexibility and benefit ranking + explained tradeoffs