1 / 17

Bringing big data to cargo transport to improve capacity utilization

Bringing big data to cargo transport to improve capacity utilization. www.transmetrics.eu. We solve capacity optimization in transport. Global cargo transport industry: € 2 Trillion+ revenues Unused (empty) capacity: Over 50% unused, transporting empty space (Davos forum)

eurydice-charis
Download Presentation

Bringing big data to cargo transport to improve capacity utilization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. We solve capacity optimization in transport 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

  3. Main reasons for empty space in cargo transport 25% 25% Long-term trade imbalances (e.g. China – US) Hard to solve with technology Empty Space 50% We solve this half by predicting short–term demand Short-term Irregularity in shipping demand

  4. Main controllable reason for empty space: Short-term irregularity in shipping demand A real life cargo trade lane, Friday departures 2011 - 2012 150% 100% 0%

  5. Shipping demand depends on external factorsIf these are known, future volumes are predictable Commodity Prices Exchange Rates Weather Ship port calls Seasons Social Sentiment Public Holidays Competitor problems Product launches Consumer Sentiment Customs Blockages Political Events Stock prices

  6. Past proof of concept One of our customers has achieved 80 % correct forecasts with their own efforts using 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

  7. Targeted impact If we achieve results similar to other predictive analytics case studies: -15% cost = 4x profit Today, cargo transport companies have 2-3% profit margin

  8. Targeted impact Synergy Economy - Ecology Transport companies increase profit by running less vehicles = Less CO2 emissions, less carbon fuel use

  9. Our predictive algorithms will be packaged in a cloud-based, subscription product Cloud, SAAS product Predictive Model Prediction empty space next 6 weeks Shipping History Deal with empty space Signals (weather, holidays, ...)

  10. We will sell our product as a cloud service, on a monthly subscription fee based on usage Monthly Subscription 5,000 – 50,000 EUR Based on usage: per truck per flight per container per ton of cargo per ton-kilometer A Global B Regional C Small companies

  11. Our competition offerings are inferior for cargo transport companies Supply Chain Optimization Share capacity Cost Solution fit Very expensive Poor match for transporters Trust issues Low prices Challenge

  12. Our team is experienced, and covers all bases Team (full time) Co-founders • Marta Stefanova • MBA Logistics • External data • Dimitar Kamenov • Web developer • External data • AsparuhKoev • Serial Entrepreneur • Exit to VMWare • Anna Shaposhnikova • Business to business sales • Experienced networker • Tim Koroteev • Marketing • Web presence Team (part time) • Rado Nikolov • 20 years programmer • Math background • Dr. Nina Daskalova • PhD statistics • Predictive Analytics • MilenNedev • Machine Learning • Alex Petkov • 20 years programmer • Transport data expert • JafarJafarov • Sales • GeorgiBaldjiev • Machine Learning

  13. Our advisory board is staffed with captains of industry Willem Mulock Houwer Former VP Carlo Ortelli Former Head of Ops Programs Marc Huybrechts President, European association of freight forwarders Louis Verbeke Managing Partner BE Prof. Dr Willy Winkelmans Founder, Honorary Dean

  14. We are in R&D pilot mode with world’s largest transport company, and two others Early 2014 Today Accelera-tion Pilots R&D mode (free of charge) Seed round Productize Sell Subscription

  15. 20 interested companies in our future pipeline

  16. We have had major recognition in start-up forums this year Started with EU funding March 2013 Winner of 30,000 EUR, EIT ICT Labs outreach competition Top 8 Pioneers Festival Top 12 Tech All Stars Finalist European Venture Summit Top 21 Webit congress

  17. Currently looking for 1. VC for seed round early 2014 2. Mentors in predictive analytics Thank you very much! Contact: info@transmetrics.eu

More Related