Businesses have long struggled with how to move assets around the transportation network in the most efficient way. There are many variables to contend with: shifting demand, human error, traffic, fuel costs, weather, etc. Mosaic Data Science carries over a decade of experience designing and developing predictive analysis and decision support tools for NASA, the FAA, Boeing, Lockheed Martin, UPS, and FedEx. We provide world-class analytics consulting to transportation and logistics clients, applying cutting-edge machine learning and algorithm development techniques coupled with unparalleled domain knowledge.
Mosaic helped a North American provider of international freight forwarding services build an NLP solution that automates the tariff classification process, saving valuable resources and reducing risk while improving the customer experience.
This blog discusses the decision process for adjusting flight schedules in response to weather events using advanced analytics.
Mosaic applied our robust data analytics expertise across disciplines to develop novel, data-driven models that identify anomalous behavior for a leading aerospace government agency.
Mosaic brought its deep expertise in aviation to design and test effective machine learning models that would predict the arrival and departure assignments of flights, helping facilitate automated testing and deployment of advanced predictive decision-support tools.
Given a set of nodes & connections, which can abstract anything from transportation networks, connections between customers, knowledge graphs, or molecular structures to computer data, graph analytics provide a helpful tool to quantify & simplify the many moving parts of dynamic systems.
Mosaic helped a trucking and logistics operator optimize their machine learning deployment on Amazon Web Services (AWS). As an AWS Select Partner, Mosaic was well-positioned to deploy machine learning engineering and serverless architecture services that sped up model inference while performing a minor overhaul of the AWS architecture and code base organization.
Network science and simulation provide a robust framework for the study of network systems in all their complexity.
Mosaic built a computer vision solution to improve the process of a vehicle moving through an automated car wash.
Wielding the power of computer vision human action extraction to gain insights from video data presents an opportunity for logistics companies to make improvements for new and current customers.
Text data presents a tremendous opportunity to benefit all stakeholders of an organization – investors, employees, processes, and the all-important customer – if the organization can find a way to sift through this data in an automated way to extract key information and solve specific challenges. In that case, they could learn about their firm and start optimizing the way they operate.