Understanding your customers' needs is a key factor in the optimization of your business
These things below are really popular right now
Customer Demand Clustering
The aim is to break down demand into homogeneous classes (diviser pour régner), so that it can be explained and predicted. Clustering consists in grouping your customers' demand into homogeneous classes, whose behavior can more easily be explained and predicted. Introducing XClusters, our tool for breaking down your customers' demand into homogeneous groups. It integrates proven methods and AI to achieve this goal.
Demand Forecasting
AI Forecasting involves using artificial intelligence, particularly machine learning algorithms, to improve the accuracy and efficiency of forecasting. AI forecasting goes beyond traditional statistical methods by learning complex patterns and relationships in large datasets. It can automatically adapt to changes in the data, handle multiple variables, and make predictions with high accuracy. For instance, demand forecasting helps companies manage inventories and production schedules.
Robustness and sensitivity to changes in demand
How robust is your organization when customer demand changes? What parameters is it sensitive to (volume of demand, variability, etc.)? Below, a simulation model to test the sensitivity and robustness of one of our customer's production and assembly line under different demand conditions.
And many other things
We can analyze your customers' demand in every sense and extract the most relevant information to develop your business. Please contact us.