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Poleon Pitch deck

Kima Ventures

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Poleon Pitch deck

  1. 1. deck 171130 Predicting demand for vehicle-sharing services Axeleo 171201
  2. 2. Balancing supply and demand is a pain in the vehicle-sharing industry. There is a problem Axeleo 171201
  3. 3. Operators currently predict demand only with their historical data Unsolved for a reason Data is complicated Not our focus Lack of resources ” “ deck Axeleo 171201
  4. 4. Accurately predicting demand is a competitive edge They care because… deck Axeleo 171201
  5. 5. Our product "action": { "type": "add", "amount": 7 }, "location": { "id":"48905749999999834_2419800000000003", "northWest": { "lat": 48.90799999999983, "lng": 2.416400000000003 }, "northEast": { "lat": 48.90799999999983, "lng": 2.419800000000003 }, "southWest": { "lat": 48.905749999999834, "lng": 2.416400000000003 }, "southEast": { "lat": 48.905749999999834, "lng": 2.419800000000003 } }, "time_interval": { "begin": 1511478000, "end": 1511481600 } An API that makes real-time predictions about demand location Axeleo 171201
  6. 6. Data PredictionsPoleon’s AI • Client’s data • Weather forecasts • City events • Public transport • Traffic incidents • Mobile phones • […] • 250m x 250m precision • 1h granularity • 24-hour forecast • Plug & play API • Heat map We’ve cracked a solution deck Axeleo 171201
  7. 7. How it works Tool for operational teams Heat Map fed by our API 11 8Bikes to drop Bikes to collect 10 6 7 11 13 15 12 89 6 8 10 250m deck Axeleo 171201
  8. 8. Our first catch We operate for ofo starting January 1st 2018 deck Axeleo 171201
  9. 9. Our future clients Cars B2B Cars B2C with drivers Cars P2P Software Scooters BikesCars B2C no drivers Axeleo 171201
  10. 10. Our Business Model €0,5 / month €4 / month €10 / month Axeleo 171201
  11. 11. Our potential target €180M €125M €60M 2018 €220M €280M €1Bn 2022 €365M €1,3Bn Axeleo 171201
  12. 12. Our ecosystem Competitors Edge Increasing amount of proprietary data Lower price thanks to a unique database and algorithms Increasing performances due to more data and work on algorithms Consulting firmsGAFAs AI Cies Axeleo 171201
  13. 13. What we have done so far Sep 17 Interactive data map of Paris 1M data points collected per day Oct 17 Unidimensional automated predictions Product iterations Nov 17 1st landing page & API 1st contract signed with ofo Dec 17 Automated multi- dimensional predictions 5M data points collected per day Axeleo 171201
  14. 14. Jean-Baptiste Prunel CEO College 42 Advisor to the French Prime Minister for the “Digital Future of France” at 19 y.o. Mathieu Schimpl COO ENS Cachan HEC Ex-COO of “Monsieur Drive”, acquired by Criteo Raphael Cousin CTO College 42 UPMC Mathematics First to demonstrate that it’s not possible to cut a plane into 26 or 27 regions with 9 lines Our team Axeleo 171201
  15. 15. Roadmap Jan 18 Test & Learn for ofo Product beta Feb 18 Scoots and cars Test & Learn Bike product v1.0 Sep 18 Launch of Berlin Oct 18 First industrialized city opening in London June 19 11 cities US & EU Apr 18 Scoot & cars product v1.0 Axeleo 171201
  16. 16. Our End Game Make predictions for every transportation operator worldwide Axeleo 171201
  17. 17. Jean-Baptiste Prunel +33 6 95 43 04 91 jeanbaptiste@poleon.co Axeleo 171201

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