caroom presentation may12-2016 - files.meetup.comfiles.meetup.com/13189262/caroom presentation...
TRANSCRIPT
/ 11
What is the problem?
2
”Banks tend to forget that most of us see lending as a means to an end,
not the end in and of itself.” Max Levchin
CEO Affirm ex CTO PayPal
/ 11
What is the ‘Caroom’ problem?
3
WHERE do I find my optimum parking spot WHEN I need it?
/ 11
Caroom’s solution
Focus on discovering that special spot, for …
WHEN you need it.
4
/ 11
Product flow elements:
5
Note: currently being modified
/ 11
Predictive elements:
6
Realtime data set: where / how many spaces total / how many used
Day / week / time of day / special conditions (positive) / special conditions (negative)
Original development in Knowledge Miner Algorithms based on minimum data requirements (currently 23 variables max) Initial testing utilised modified Monte Carlo simulation (5-10k iterations)
Statistical norms associated with accuracy of sample size and predicting outcomes (min size 384, av size 600)
/ 11
Putting it all together
7
Current vacancies + expected vacancies delta + travel time + navigation
= clear recommendations (where, when, why) {sub categories; public, private, P&R, visitor, street}
/ 11
Our roadmap…A: Public beta test in 2 sites (Q1-2 2016) B: Modifications from beta (Q2 2016) C: Public release of B2C app (Q3 2016) D: Limited beta of “reports” (Q3 2016) E: Expansion into 2nd group of cities (Q4 2016) F: Review from beta and refresh (Q1 2017) G: Review all products and economic returns H: Expansion into 3rd group of cities (Q3 2017)
8
/ 11
What we are doing now…Iterative testing and involving potential customers and partners as we test our predictions
Building further partnerships
Honing our business model and monetisation pathways
Raising more finance9
/ 11
A final thought….
10
Data driven companies can be both for-profit and for-people, and hopefully,
Caroom is one of many.
Amir Morris with apologies to Max Levchin