Introduction
Kraken is a digital enterprise solution for the Dry Bulk Shipping industry that combines cutting-edge data and cloud technologies with years of shipping expertise. Their different modules aim to employ technology as an enabler to automate & eliminate repetitive, mundane and laborious processes involved in the shipping business.
The stakeholders that manage vessel and cargo schedules are challenged to navigate the multitude of variables- from fluctuating freight rates and availability to voyage itineraries, cargo types, and sanction lists, and need to consider exposure, profitability, efficiency, timeliness, and their business’s broader needs.
My focus,
Charter scheduling
Out of the 4 modules of the platform, Kraken wanted to further its innovation by introducing a scheduling module
The stakeholders that manage vessel and cargo schedules are challenged to navigate the multitude of variables- from fluctuating freight rates and availability to voyage itineraries, cargo types, and sanction lists, and need to consider exposure, profitability, efficiency, timeliness, and their business’s broader needs.
GOAL
To systematically sort through a vast array of permutations and identify the ‘best fit’ for schedulers' business requirements
The Problems
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Schedulers continuously balance many variables to match cargoes and vessels optimally.​
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Scheduling is often handled via manual or spreadsheet-based scheduling workflows​
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With manual processes, they become prone to high stress and human error and make it impossible to consider every possible permutation.
GOALS
Identify
Identify the best possible decisions for business requirements
Adapt
Adapt unforeseen events and last-minute changes
Consider
Consider every permutation possible
The approach
After initial discussions with the team, we agreed to design in layers. The idea was to start with the basic task scenario of the platform and then begin adding the complex deciding factors over this basic layer
Organizing information
Interaction design explorations
The final designs
Base screens
Scheduling combinations
Other supporting flows
