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Travel & Real Estate AI Agent (Business (Revenue Models (refferals,…
Travel & Real Estate AI Agent
Front-end
INPUT
Interactive Questionnaire
Storyboard
UX
OUTPUT
Heatmap
Choices of accomodation
Full travel plan (accomodation + transportation + visits)
Back-end
Parameters
Travel time
Car v.s. metro vs. bike or mix of all
Travel Cost
Safety (crime)
Nearby facilities (gym, pool, cinema, golf course)
Nearby accessibility (metro, bike stop)
Multiple Destinations and origins
Multiple individuals (trying to find middle ground)
All modes of transportation: train, metro, airplane
Data
Open Data
opendata.paris.fr
https://www.europeandataportal.eu/data/en/dataset
Private/Exclusive Partnerships
Our own generated data
webscraping
Field research
Online research
APIs
Google APIs
Accomodation
Permanent
Rental agencies
Real estate companies + agents
Temporary
Hotels
booking.com
Appartments
airbnb.com
Hostels
hostelbookers.com
Optimization
Algorithms
Genetic Algorithm
Particle Swarm Optimization
Business
Revenue Models
refferals
one time fee
ads
Partnerships with rental websites: airbnb, booking
Partners
Accomodation provider (look on left)
Public institutions (governments, cities, municipalities)
Competitors
Key Cities
Europe
Paris
London
Berlin
Asia
Shanghai
Singapore
Hong kong
USA
SF
LA
NY
Strategy
Which key city to start with ?
How to attract users ?
How to monetize the platform once critical mass is reached ?
How to avoid backlash from industry leaders ?
Design
Business
Name
Moto
Logo
Color Scheme
Platform UX
User interaction for seamless input of preferences
Beautiful output of results