And your parking problems disappear

Ver: IoT May 12 2016

caroom.fi

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What is the problem?

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”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

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What is the ‘Caroom’ problem?

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WHERE do I find my optimum parking spot WHEN I need it?

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Caroom’s solution

Focus on discovering that special spot, for …

WHEN you need it.

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Product flow elements:

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Note: currently being modified

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Predictive elements:

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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)

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Putting it all together

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Current vacancies + expected vacancies delta + travel time + navigation

= clear recommendations (where, when, why) {sub categories; public, private, P&R, visitor, street}

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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)

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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

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A final thought….

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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

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Thank you…Questions? Concerns? Comments?

caroom.fi

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