Inline inspection
Next pipeline engineers manually match anomalies from certain years to analyze the growth of the damage. The goal is to predict changes which may violate the integrity of the pipeline. The whole process is very laborious and tedious.
Using standard data science libraries in Python we were able to fully automate this task with unsupervised learning and predictive modeling. This will save hundreds of hours of work and enable pipeline engineers to spend more time on less monotonous projects.
Recommending the most relevant products in real time is the Holy Grail of data science in the e-commerce industry. Together with Sephora, we have met the challenge to improve online recommendations and increase the click-through rate (CTR).
LogicAI Team23 Nov 2022
GovTech Polska is using the competition formula to involve tech startups in solving state-scale technological challenges through Artificial Intelligence and Data Science. The central entity is the public sector, which reports challenges and looks for modern ways to solve them but the indirect beneficiaries are of course citizens.
LogicAI Team22 Nov 2022
Price is one of the most vulnerable parts of any online venture. Every store is trying hard to find that sweet spot where the price is both profitable and emphasizes the value of the product. Instead of going the hard way, Frisco, the Polish market e-grocery giant, decided to approach this in a smart way by leveraging the power of machine learning.
LogicAI Team22 Nov 2022