This document discusses a technology company that analyzes daily rate, demand, and review data from online travel agencies to develop business intelligence software solutions for the hospitality, travel, and real estate industries. It gathers massive amounts of global property and customer behavior data to provide market intelligence reports, dynamic pricing software, and other tools to help investors, property managers, and other customers estimate returns on investment, improve hotel feasibility studies, and maximize profits from hotels and home rentals.
2. Gathering daily rate, demand &
reviews from major OTA(s) incl.
Booking.com, Expedia & Airbnb
Analyzing property & traveler
behaviors of travelers in daily
snapshots of big-data via ML
Developing the state-of-art BI
software to solve problems of
hospitality, travel & real-estate
Opportunity
Massive amount of global property & customer behaviour data that is crucial for
hospitality & real-estate industries, is daily available from online travel agencies
Value Proposition
3. Long-term IaaS & PaaS agreements with hospitality, travel & real-
estate technology companies e.g. SnapShot & LivingRooms
Market intelligence reports & business intelligence software for
hotel & apartment investors, managers & consultants
Business Model
Became a finalist in Accor
Hotels yield management &
pricing strategies challenge
Achievements
Developed the only hotel yield
management software, which
doesn't require internal data
Became already profitable with
monthly guaranteed revenue
from IaaS/PaaS contracts
4. Global daily OTA demand & revenue data
of hotels in property or geolocation level.
Heatmap shows the best locations in a city
to invest in hotels or Airbnb properties
Global OTA Revenue
RomeParis Barcelona
5. Helping Real-Estate & Hotel
Investment Companies for
Estimating ROI for Real-Estate
Better Hotel Feasibility Studies
Maximizing B&B / Hotel Profits
Forecasting Unconstrained
Demand for Dynamic Pricing
of Hotels and Airbnb Rentals
<
Global Airbnb Revenue Data
BNB-Data.com
6. Potential Customers
& Go-To-Market Plan
Market Intelligence Reports
Global Historical Rate & Demand
Property Performance Estimation
Market Future Demand Forecast
Dynamic Pricing SaaS for Airbnb
Real Estate & Hotel Investors
Property Management Companies
Airbnb & Hotel Revenue Managers
Consultants, Academic Researchers
z
7. Guest Review Analysis
Personalization of
hotel offers regarding
priorities of travellers
Guest Review Analysis
for Destinations, Hotel
Chains and their Brands
Summarizing positive
& negative aspects of
hotels for travellers
Helping hoteliers to
understand what makes
guests (un-) happy!
9. Board & Advisors
Founder of DAI-Labor, Semper-Tech, GT-ARC;
Founding Member of Deutsche Telekom Labs
Order of Merit from German Federal Republic
Prof. Dr. Sahin Albayrak
Prof. Dr. Cihan Cobanoglu
McKibbon Endowed Chair Professor of the College of
Hospitality and Tourism Leadership (CHTL) at USFSM
Director of the M3 Centre for Hospitality Technology
Prof. Dr. Aytul Ercil
Founder of VISTEK ISRA-Vision, VISPERA, REBUSLABS,
BU-PAM, SU-VPALAB; EUREKA Innovation, Endeavor
Entrepreneur & Veuve Clicquot Entrepreneur Awards
Kamer Ali Yuksel
Founder of OTA Expert, CTO of LivingRooms;
Machine-Learning & AI Researcher, worked
at Deutsche Telekom & Microsoft Research,
Family Business in Hospitality & Real-Estate
10. Fundraising
- MVP & Team Improvement
-Sales & Marketing Budget
-Blog, PR, SEO, SEM & PPC
Need $500K for 10%
-Attending Industry Events
-Launching New Products
detailed in following slides
11. A Problem of Hospitality & Travel Industries
Perishable supply of hotel rooms overweighs the elastic demand of travellers
New generation
of travellers are
cost sensitive
Hotels & Airbnb properties
requires dynamic pricing
for maximizing their profits
13. Target - Rome, Barcelona, Istanbul, New York,
Dubai, London, Amsterdam, Prague, Berlin, Paris
Competitors 10% of
160000+
uses RMS
Most are members of
International chains
Rest use Excel-sheets
and instinct for pricing
No affordable solution
for independent hotels
No solution using both
Hotel and Airbnb data
Competitor Demand &
Review Comparison
14. TopHotel.Deals
Hotel Metasearch Engine
Helps travellers to select best area to stay in by visualizing
the relative touristic value of locations using a heat-map
Scores hotel offers by their cost-utilities, personalized
w.r.t. priorities of travellers and only shows the Top-10
Daily selects best hotel offers from each city to optimize
search engine & social media marketing for conversion $4B Target
Market of
Affiliate
Commission
8% from
Hotel and 3%
from Flight
Bookings
Innovative meta-search engine for
easily finding the best hotel deal!
15. AI-based Virtual Travel Concierge that responds hotel
requests over SMS, E-mail, Twitter, Facebook & Slack.
Just text your when, where and how much to Alex for
booking the best hotel deal in just couple of seconds!
Cost-Sensitive, Frequent, Last-minute, Bleisure Travellers;
Millennials who don’t want to be bombarded with choices
Don’t search for hotels,
because #AlexFinds
Tracks prices & notify travellersOffers only most advantageous Reduces time of hotel booking