Descriptions of products might vary depending on suppliers or country of origin. Improve inventory management using Natural Language Processing (NLP) algorithms that can extract the correct information from products, even from unstructured data. This can help forecasting the demand, suggesting similar products to customers, and organizing the stock.
Machine Learning algorithms can learn patterns from data and take into account diverse variables to suggest the best price for products. Customer evaluations, supply, demand, product attributes, and many other factors can be considered by the software to predict the best price.
Given the amount of customer data, machine learning techniques can provide useful insight on customers’ preferences and market trends. With advanced NLP techniques, we can offer your customers personalized recommendations and keep track of their sentiment towards products and services.
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 of consultation & discussion about your specific use case.
Not sure? Pick the first option.
Your dida-Partner:
Machine Learning Project Lead
I am new to Machine Learning
I have a project idea already