Container optimization is closely related to transport routing. Based on your requirements, we create planning tools to help you save on shipping costs. The research we do at ML6 on Transportation routing also applies on Container optimization and the skills and experiences are shared across both applications.
We help you come up with and deploy moonshot ideas.
Some examples below
Transportation is big. Thus, optimizing routing can create much benefits. These benefits are not only economical but also environmental. At ML6 we are providing solutions to decrease transportation costs by planning better. Next to our readily available solutions, we at ML6 are also doing research on this matter to improve the current solutions and create […]
Natural Language Processing engines enable tons of use cases. ML6 has identified four major use cases, being self-learning chatbots, content customization, entity extraction and reason-based sentiment analysis. ML6 has a very solid and extensive Natural Language Processing ecosystem given its wide set of use cases for a wide set of industries. Our ecosystem has an […]
After all, increasing your ecosystem by improving the acquisition – and retention rate of your suppliers, customers and investors is what makes your business strive. That is why listening to the market is a key process for a financial institution. ML6 excels in this type of engagements for a twofold reason. On the one hand, […]
Insurance companies have the one thing AI requires to be successful — data. Machine learning has the ability to make that data actionable. By reviewing data from closed claims, machine learning algorithms can identify both straightforward claims for automatic processing and complex claims that are more likely to require human intervention. By identifying commonalities in closed […]
Enhancing a financial institutions’ trading departments to improve their trading process is a key value – and money generator. Each trader has its own trading strategy, which is a combination of gut feeling and (simple) mathematical formulas (e.g., averaging, etc.). ML6’ approach is clear. Enabling a trading bot to incorporate various trading strategies and – […]
One of the key processes for a financial institution is identifying and detecting fraudulent transactions. Whether the financial institution wants to identify fraud in credit card transactions and/or investment deals, this is something we are doing at ML6 everyday. To today, ML6 has developed – and deployed already a set of self-learning fraud detection engines. […]
Security is one of the core value drivers of a financial institution. This comes in two flavours. On the one hand, a financial institution has a lot of personal – and security-sensitive information by working in an ecosystem with customers, investors and suppliers. On the other hand, trading – & investments agencies has its core […]
Personalized medicine is a game changer in the world of healthcare. By tailoring health recommendations and disease treatments to the individual’s medical history, genetics, diet, and more, we can improve patient care and reduce costs. This kind of personalization based on combination of big data sets is an area where machine learning shines. For a […]
Cardiologists make decisions for patient care from data, and they tend to have access to richer quantitative data on patients compared with many other specialties. As the amount of available patient-level data continues to increase and we continue to incorporate new streams of complex biomedical data into the clinic, it is likely that AI will […]