With its ability to analyze huge amounts of data, Machine Learning algorithms can find the best delivery route. It can take traffic, weather conditions, fuel cost, and historical data into consideration to optimize routes and reduce delivery time.
Many different factors, like prices and fast changing customer behavior, can have an influence on demand. By combining historical and current data analysis, Machine Learning techniques can accurately estimate future demand. This allows you to respond rapidly to market changes. Logistics operations will therefore become smarter, ensuring product availability and improving planning.
Machine Learning can be used to lower inventory and operational costs. For example, computer vision techniques can aid warehouse management, by automating barcode scanning. It is also possible to use product’s dimensions and itinerary information to optimize load capacity and delivery routes.
We are a software company specialized in Algorithms and Machine Learning (ML) and most of our 30+ employees have a scientific background in Mathematics and Physics. We follow the developments in ML research and have multiple years of experience bringing this knowledge to customers and into production.
No Machine Learning task is alike. The data that is available and the requirements always differ and might not be captured by off-the-shelf software. From us, you get an individual solution. You own the code, the data and we integrate it into your current software environment.
We offer initial proof of concepts and the complete development of production software. Due to the experience and background of our team we can as well offer larger research projects.
In our Tech Lunch, we will give you 45 minutes of information on a ML topic of your choice.
In our ML Expert talk you will get 1 hour consultation & discussion about your specific use case.
Not sure? Pick the first option.
Your dida-Partner:
ML Project Manager
I am new to Machine Learning
I have a project idea already