OUR TEAM Matteo Thomas DESIGNER Simone DEV - SA CEOXu Fabian MicheleDEV DESIGNER DEV - SA
ADVISORS Giorgio PatriniMSc Computer Science @ Politecnico Milan, PhD Machine Learning @ NICTA Sydney Edoardo Canetta Rossi Palermo Law @ Bocconi and Berkeley, Corporate Lawyer @ Studio Chiomenti, Milan Nicola Gatti, PhD Professor @ PoliMI, Computer Eng. Currently Recruiting MSc Comp. Eng. interns for the project
So, the problem:Finding the best way to get from point A to point B
GETTING AROUND IS A MESS ?
Is it really door to door?
GETTING DATA 20 out of the 35 biggest European metropolitanareas don’t have standard formats (e.g., GTFS) or APIs Our platform can get data from anywhere (ok, maybe not this one... at this time :)
Innovative + traditional transportation, instant e-ticketing
COMPETITION FEATURES / PLAYERUser preferences optimizationAPI accessInnovative transportationE-ticketing interfaceNon-standard data (PDF, XLS...)Medium-long distance trip-planning
PRIVATE WE’RE BETA: LIVEREADY TOLAUNCH.
SCALING - ITALY 0 20 40 60 80 North CenterData coverage (%) South Islands 39 million covered in 6 months (~65%) + Market opportunity Transit data
WHAT’S NEXT? top 80%coverage layer (external?) apps integration KEY HIRES - 1 front end developer - 1 mobile developer - 3 dev interns (through Nicola)
REV MODEL/API: PULL VS PUSH “Pull” Markets area [t0] As we grow, the area expands Maps/ Expected sales effort Search Eng. CTM Travel booking Online reviews Istant deals “Push” Markets area [t0] Value proposition consistency
OR, JUST LINK IT FOR FREE!There are a lot of physical addresses on the internet. We can help showing how to reach them. With a link, or with our API. (and we get free trafﬁc!)
THE FUTURE: PLATFORMThe best way to get from A to B can be used in a lot of ways. More than we’ll ever know.
REVENUE MODELS/2 E-TICKETING API with E-Ticketing services (e.g., GlobeSherpa, Masabi), % on commission PAID LISTINGS Private transportation companies (i.e. taxi, airport shuttle) can input their data
REVENUE MODELS/3GEO-LOCALIZED ADVERTISING Locally targeted mobile display ads CTR: 5% to 8% typical mobile display ads CTR: 0.6%
EXIT STRATEGY We’ll leverage on the Maps/Expected sales effort Search B2B relations we’ll have built Eng. Yahoo Maps Bing Apple Maps CTM GMaps Travel booking Midas Expedia Salesforce (CRM) Online Venere reviews Trivago Kayak Yelp Istant TripAdvisor deals Google Local CitySearch Groupon/CityDeal Value proposition consistency