AI-Driven Logistics Solutions

Mosaic developed an advanced question-and-answer platform to assist an oil pipeline company’s personnel in managing the document review process more efficiently.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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.

We revamped this trucking operator’s demand forecasting models to optimize fleet placement across North America.

In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.

Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.

This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.

We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.

Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.