MARITIME & TRANSPORT
16-18 JUNE, 2017
Join us to disrupt Maritime in 48 hours!
Everything around Maritime, Shipping, Transportation and Logistics
New tech is eating the world and there remains plenty of eating in the Maritime and Logistics industry. Join 100+ participants with multiple backgrounds: (developers, business people, designers, domain experts, lawyers) for 48 hours of building prototypes, rapid fire market validation and business model invention.
INTTRA, Norden, DFDS and other partners are backing the event and will be leading the jury as well as participating with mentors.
The winning team will receive a cash prize of 25.000 DKK and direct access to key sponsor executives to explore real world applications.
25.000 DKK cash prize to the winning team,
also available in BTC or ETH
The jury will pick the overall winner which will receive a 25.000 DKK cash prize. The winning team can decide to accept the prize in either DKK or the equivalent in Bitcoin or Ethereum (exchange rules apply.) Some partners will also bring their own rewards.
All participants will get an opportunity present their ideas to industry players with the hope of launching real world pilots.
Topics and challenges
Suggested topics and concrete problems
Topic 1: AI – Automate and Improve?
How will supply chains be impacted by Chatbots, machine learning, Robotic Process Automation? Can we remove/reduce the amount of manual tracking, phone calls, and interactions through stored learnings and decision algorithms?
Topic 2: Open Data & Blockchain - Disrupt the Port
What happens when we live in a “completely transparent” world, when all data can be seen by everyone? Blockchain might help in this new era. Distributed trust is the core of the blockchain technology and most port inefficiencies could be solved by leveraging the power of trust. Could blockchain technology be used for trade and distribution of energy taking the physical network boundaries into account? Could blockchain technology be used for the trade of CO2 emissions? Or how would customs and the collection of taxes work in such an environment?
Topic 3: Crystal Ball – Predict the flow
Is there a benefit to predicting cargo flows across the entire supply chain instead of sequential handoffs? Truckers, warehouses, shipping lines, terminal operators all having real time predictions of arrival/departure of cargo to eliminate waste and improve utilization of assets. Can weather, holiday impacts, road traffic, retail inventory levels, GDP growth, rail traffic, all be combined to improve the visibility and planning of the supply chain or improvements in reducing waste? Is this possible? If so, how?
Topic 4: Tell me, what happened!
For optimization of maintenance processes, it is important to know what has – in reality – happened with the port infrastructure. The actual number of ships, trucks, and trains visiting the port with their actual loads have a high impact on what infrastructure needs to be maintained and when. Often this information appears to be missing. However, most datasets have hidden information that might be of value for maintenance. Alternatively, when specific information is missing, perhaps it can easily be created with the Internet of Things. We challenge you to tell us what happened in the port!
Topic 5: Disrupt the Port – Hackers Paradise?
We are thriving in an open world where everything is connected. Maybe we do not need to take a look in the far future to “disrupt the port”. The big question is: are we aware of what risks ports are facing? How cyber-resilient is the port and how cyber-resilient are the port-players? What would it take to “disrupt the port”, what would you do?
Topic 6: No waiting
Today many ports and terminals struggle with long lay-over time for containers that e.g. are imported and have to pass through several stages including waiting for and going through customs clearance, customer pickup and other related processes. This causes valuable capacity at the terminal and through the wider logistics chain to be occupied unnecessarily and incurs direct costs for operators, shippers and consignees. How can unnecessary idling of containers be avoided? Can new data sources be combined, predictive data or new applications, devices and sensor be utilized to solve this problem in a cost effective manner that is easily adopted by port and associated stakeholders?
Topic 7: End to end tracking
As market dynamics pressure for shorter and shorter product life cycles, managing stock levels becomes key to margin optimization and the industry trend leans towards lower stock levels with faster rotations. Companies order their merchandise in smaller volumes, while increasing the number of orders in order to create the flexibility necessary to respond to shifting consumer demand. This results in a noticeable increase in the demand for less-than-container load (LCL) cargo type. The challenge is to offer tracking from door-to-door (origin pick-up via a warehouse for loading into a container to final delivery at destination) with updated milestones along the way (manual and via EDI connection, tracking of carrier website).
The industry is seeking some fresh eyes perspective on the old problems — that means you may own the next big idea. As such, you will be encouraged to shoot from the hip and share your thinking.
Challenge for DFDS
Intro: All large maritime and transport companies have millions of Euro tied up in physical assets like ships, trailers, warehouses, etc. To be competitive, it’s critical to maximize the utilization of existing assets within the individual organization and the supply chain as a whole.
Problem: For DFDS, a piece of the puzzle is to make available trailers visible across its European hubs. How could turn-around times be minimized? What are the critical sources of delay? Identifying current bottlenecks can help improve planning and forecasting for e.g. summer slowdown or Christmas spike.
Resources: The provided data will include route and geo-positioning information as well as business metrics which will allow groups to quantify the impact of the solution.
Challenge for NORDEN
Intro: Major oil companies impose rules for how tanker ships must be staffed. Each company’s requirement is different from the next, and also varies from vessel to vessel. Every time a different combination of captain/senior officer/engineer and their years of experience is required.
Problem: significant time is spent on the process of ensuring compliance in a manual and labour intensive process. Add to this that every single change to a single ship’s officer has trickle-down effects that impacts the rest of the fleet. The fact that the planning is manual makes predictions practically impossible, and solutions costly: adding 10 new tankers to the fleet can cost up to $4M. They believe a digital solution has huge potential both to optimize existing operations and to enable cost-effective growth. Besides – there are 5000 tankers in the world that face the same problem.
Resources: Historical crewing data will be provided as well as the bottom line impact for a very tangible business case. Be sure this is a very real (and annoying) challenge for all major shipping companies — maybe you have what it takes to crack it?
Challenge for INTTRA
Intro: around the world there are 20.000+ TEU ships arriving in ports. Terminals are optimizing how to handle massive (un) loading operations with a focus on what is happening on the yard. In many ports either railroad or barge optimization has been focused on — with less attention for trucks.
Problem: a piece of the puzzle is to make sure that a trucker arrives in a timeslot convenient for the terminal (as well as the trucker). Pre-announcement systems exist today but are very basic (e.g. an open calendar). What solution could we offer which gives incentive for the truckers to choose the most convenient timeslot for the terminal as well as an overview? And how to cope with the frequently changing ETA’s of the vessels, resulting in changes to the terminal planning and thus the ideal timeframes for truckers to arrive?
Resources: Ocean Schedules data, own data set in CSV/CLS form.
Most of the weekend is dedicated to your ideation and ‘hacking’ prototypes.
Top mentors will join to provide support and inspiration.
We touch base on our shared mission for the next two days. We will focus on unleashing industry-changing ideas coming. Fresh approaches to conceptualization are welcome.
Every participant gets to present an idea (or more) in 60 seconds. This is where your creative juices are needed. No idea is out of bounds or too ambitious.
Participants pick the best ideas and form teams around those.
Hackathon Day 1
Breakfast 8am – 9am then everyone gets to work. Lunch, dinner and energy breaks will also be provided. The occasional tribal dance or group stretch may erupt during the day.
Mentors will stop by throughout the day to provide support, guidance and inspiration. Use them as you see fit, they are serial entrepreneur and Maritime / Transportation / Logistics experts.
Hackathon Day 2
Breakfast 8am – 9am then everyone gets to work. Lunch, dinner and energy breaks will also be provided. Time will be set aside for pitch training, tech check and practice (on a voluntary basis).
Teams will make their final demos and presentations to the Jury.
The jury will decide on the overall winner and award the 25.000 DKK cash prize. Special prizes are known to appear as well.
Partners, mentors & jury
Industry experts & serial entrepreneurs volunteer to help you.
Mentors and partners