When Sound Oceanics’ potential clients wanted a quote for an offshore geophysical survey, they had to wait days for all the data to be collected and an initial survey plan to be drawn up.
But why did it take so long to create the survey plan? Mainly because there are many sources of data to be consulted and a specialist to match data on weather, geology, and vessels schedules in order to optimize the plan.
We all know: The faster we respond to potential customers, the greater the chance they will become real customers.
Sound Oceanics was not able to automatically generate a survey summary for potential customers, which was a major hurdle for the company. Since gathering and compiling all the information for the summary was not efficient and took the team many hours, the company needed a platform to work better with less effort and team involvement.
Our Dedicated Development Team spent 10 months developing an automated solution that allows users to create a survey summary within 30 seconds, including information about the survey location, design and implementation (costs and deadlines as well), and the acquisition window.
The technical challenge for this project was to create a data pipeline from scattered and unstructured sources, including climate, geology, and vessel schedule databases, and create a plan within seconds.
Founded in 2010, Sounds Oceanics offers full turnkey solutions for Geophysical, Geotechnical, Hydrographic and Met-Ocean surveys and operates globally.
The user experience of a business directly influences its revenue growth. The way a product makes users feel not only encourages the development of habitual behaviors but also enhances engagement. When prospects struggle to find what they are looking for, their conversion from visitors to customers becomes challenging.
Sound Oceanics’ product automation has shifted much of the day-to-day tasks from humans to machines, enabling the team not only to build higher-quality relationships with potential customers, but also to turn them into real customers. The American company took a big and safe step by relying on the power of innovation and offering customers a user-centric platform.
The technology chosen was Python, which was used to perform all the necessary data transfers and calculations. In addition to this programming language, the Django framework was also included in the project, which enabled the rapid creation of system management functions.