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.
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.
Decision processes in support of jobs that either cannot be or are very difficult to automate are frequently overlooked by out of the box software providers. One such process is the creation of optimal staffing plans for outbound teams loading cartons onto trucks.
Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.
Global external shocks are going to continue to happen, that is a fact of operating a business in today’s environment. As companies embrace data science in their decision-making processes, they are better positioned to deal with these disruptions, allowing them to manage a risk-optimized supply chain.
Computer vision is a powerful AI technique with vast business applications. In this white paper, Mosaic examines how to use machine vision for detecting airport layouts from the sky.
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
Mosaic helps a leading 3PL company apply machine learning to predict brokerage profit drivers.
Optimizing how airplanes take off is a perfect use case for fusing IoT and predictive analytics.
We examine how to apply ML & AI for the IoT use case of mining for aircraft performance insights.