Bringing big data to cargo transport to improve capacity utilization 1.

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Bringing big data to cargo transport to improve capacity utilization www.transmetrics.eu 1

Transcript of Bringing big data to cargo transport to improve capacity utilization 1.

Bringing big data to cargo transport to improve capacity utilization

www.transmetrics.eu1

We solve capacity optimization in transport

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Global cargo transport industry: € 2 Trillion+ revenues

Unused (empty) capacity: Over 50% unused, transporting empty space (Davos forum)

Impact of unused capacity: Staggering financial cost, burning oil, producing CO2, traffic jams

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Main reasons for empty space in cargo transport

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Long-term trade imbalances(e.g. China – US)

Hard to solvewith technology

We solve this half by predicting short–termdemand

EmptySpace50%

Short-term Irregularity in shipping demand

Main controllable reason for empty space: Short-term irregularity in shipping demand

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A real life cargo trade lane, Friday departures 2011 - 2012

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Shipping demand depends on external factorsIf these are known, future volumes are predictable

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Ship port calls

Weather

Public Holidays

Exchange Rates

Social Sentiment

ConsumerSentimentCustoms

BlockagesPoliticalEvents

Seasons

CommodityPrices

Product launches

Stock prices

Competitor problems

Past proof of concept

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One of our customers has achieved

80 %correct forecasts

with their own effortsusing just 2 external

factors

Our goal is to increase this to at least

90 %by a fine-tuned algorithm using large numbers of

external factors

Targeted impact

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Today, cargo transport companies have

2-3% profit margin

If we achieve results similar to other predictive

analytics case studies:

-15% cost=

4x profit

Targeted impact

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Synergy Economy - Ecology

Transport companies increase profit by running less vehicles

=Less CO2 emissions, less carbon fuel

use

Deal with empty space

Prediction empty spacenext 6 weeks

Our predictive algorithms will be packaged in a cloud-based, subscription product

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PredictiveModelShipping

History

Signals(weather,

holidays, ...)

Cloud, SAAS product

We will sell our product as a cloud service, on a monthly subscription fee based on usage

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MonthlySubscription

5,000 – 50,000 EUR

Based on usage:per truckper flightper containerper ton of cargoper ton-kilometer

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Global

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Regional

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Small companies

Our competition offerings are inferior for cargo transport companies

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Cost

Solution fit

Supply Chain Optimization

Very expensive

Poor match for transporters

Share capacity

Trust issuesLow prices

Challenge

Our team is experienced, and covers all bases

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Asparuh Koev

•Serial Entrepreneur•Exit to VMWare

Anna Shaposhnikova

•Business to business sales•Experienced networker

Rado Nikolov

•20 years programmer•Math background

Co-founders

Alex Petkov

•20 years programmer•Transport data expert

Team (full time)Marta Stefanova

•MBA Logistics•External data

Jafar Jafarov

•Sales

Tim Koroteev

•Marketing•Web presence

Dimitar Kamenov

•Web developer•External data

Georgi Baldjiev

•Machine Learning

Milen Nedev

•Machine Learning

Dr. Nina Daskalova

•PhD statistics•Predictive Analytics

Team (part time)

Our advisory board is staffed with captains of industry

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Carlo OrtelliFormer Head of Ops Programs

Willem Mulock HouwerFormer VP

Louis VerbekeManaging Partner BE

Prof. Dr Willy WinkelmansFounder, Honorary Dean

Marc HuybrechtsPresident, European association of freight forwarders

We are in R&D pilot mode with world’s largest transport company, and two others

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Accelera-tion

Pilots R&D mode

(free of charge)

Seed round

Productize

Sell

Subscription

Early2014Today

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20 interested companies in our future pipeline

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We have had major recognition in start-up forums this year

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Top 21 Webit congress

Top 8 Pioneers Festival

Top 12 Tech All Stars

Finalist European Venture Summit

Started with EU funding March 2013

Winner of 30,000 EUR, EIT ICT Labs outreach competition

Currently looking for

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1. VC for seed round early 2014

2. Mentors in predictive analytics

Thank you very much!

Contact: [email protected]