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deck 171130
Predicting demand for vehicle-sharing services
Axeleo 171201
Balancing supply and
demand is a pain in the
vehicle-sharing industry.
There is a problem
Axeleo 171201
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
Accurately predicting demand
is a competitive edge
They care because…
deck Axeleo 171201
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
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
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
Our first catch
We operate for ofo starting January 1st 2018
deck Axeleo 171201
Our future clients
Cars B2B
Cars B2C with drivers
Cars P2P
Software
Scooters
BikesCars B2C no drivers
Axeleo 171201
Our Business Model
€0,5 / month
€4 / month
€10 / month
Axeleo 171201
Our potential target
€180M
€125M
€60M
2018
€220M
€280M
€1Bn
2022
€365M €1,3Bn
Axeleo 171201
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
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
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
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
Our End Game
Make predictions for every
transportation operator worldwide
Axeleo 171201
Jean-Baptiste Prunel
+33 6 95 43 04 91
jeanbaptiste@poleon.co
Axeleo 171201

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Poleon Pitch deck

  • 1. deck 171130 Predicting demand for vehicle-sharing services Axeleo 171201
  • 2. Balancing supply and demand is a pain in the vehicle-sharing industry. There is a problem Axeleo 171201
  • 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. Accurately predicting demand is a competitive edge They care because… deck Axeleo 171201
  • 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. 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. 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. Our first catch We operate for ofo starting January 1st 2018 deck Axeleo 171201
  • 9. Our future clients Cars B2B Cars B2C with drivers Cars P2P Software Scooters BikesCars B2C no drivers Axeleo 171201
  • 10. Our Business Model €0,5 / month €4 / month €10 / month Axeleo 171201
  • 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. 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. 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. 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. Our End Game Make predictions for every transportation operator worldwide Axeleo 171201
  • 17. Jean-Baptiste Prunel +33 6 95 43 04 91 jeanbaptiste@poleon.co Axeleo 171201