Bringing big data to cargo transport to improve capacity utilization 1.
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Transcript of Bringing big data to cargo transport to improve capacity utilization 1.
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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25%
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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100%
150%
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
A
Global
B
Regional
C
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
A
B
C
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]