Software is eating the world and there remains plenty of eating in the Shipping, Ports 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.
Ports America, the Port Authority of NY/NJ, the world’s largest shipping line, Mærsk Line, and industry pioneering container terminal, the Red Sea Gateway Terminal, 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 $5,000 and direct access to key sponsor executives to explore real world applications.
The jury will pick the overall winner which will receive a $5,000 cash prize.
All participants will get an opportunity present their ideas to industry players with the hope of launching real world pilots.
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?
What happens when we live in a “completely transparent” world, when all data can be seen by everyone? Block chain might help in this new era. Distributed trust is the core of the block chain technology and most port inefficiencies could be solved by leveraging the power of trust. Could block chain technology be used for trade and distribution of energy taking the physical network boundaries into account? Could block chain technology be used for the trade of CO2 emissions? Or how would customs and the collection of taxes work in such an environment?
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?
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!
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?
Following the expansion of the Panama Canal, US ports will face substantially larger container vessels and this will change the entire dynamic of the port supply chain and beyond into the hinterland. Many other factors including legislation around container scanning (e.g. potential mandatory scanning of all containers) will greatly impact the supply chain from vessel arrives to port until cargo leaves the gate (or vice versa). This is bound to create bottlenecks and maybe with much greater severity than we see today. How can we create transparency and tools to anticipate and simulate the weakest link in the port supply chain so they can be proactively dealt with short and long term (without creating substantial manual data input and manual handling by the main stakeholders – e.g. through use of big data)?
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?
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).