Digital twin for machine setup optimization
Using AI algorithms, a digital twin of the machine is generated, through which we can study the probability of success of a...
Use cases
Food
AI-powered Warehouse Reslotting Optimizer
An Artificial Intelligence-powered model is generated that considers all variables affecting both slotting and reslotting, providing the user with a continuous improvement...
Demand forecasting
By analysing data from various sources and using Machine Learning algorithms, the system can automate demand forecasting, thereby optimising procurement and purchasing...
In-aisle interaction analysis with Computer Vision
By leveraging computer vision technologies, we can extract information related to in-store habits. By combining it with campaign information, we can generate...
Social Media Sentiment Analysis
Sentiment analysis is an automated process for analyzing text to interpret and extract subjective information. Through machine learning and text analysis, these...
Customer Segmentation
Segmentation allows customers to be divided into groups based on common characteristics. We anticipate consumer behavior by aggregating information from different sources,...
Channel Attribution Models
Attribution models provide a set of rules that allow assigning a specific value to the channels a user has interacted with before...
Marketing Strategy Recommender
The use of Machine Learning techniques for segmentation allows us to understand the different types of customers a company has, facilitating the...
Lead Scoring
Lead scoring is the process of assigning a numerical score to each lead generated for a given business. This process helps the...
Social Network Analysis
Social network analysis covers the study of consumer behavior and their interactions, both with other users and with different services. From a...