How does the Neural Network Work?
Data Collection
We gather fresh, unbiased consumer data via mobile participation for accurate analysis.
Neural Input Layer
This layer takes in the raw data. Each input represents a different factor (e.g., purchase intention, brand affinity). The input layer just passes the data to the next step without any changes.
Neural Hidden Layers
They do the actual work. They process the data by finding patterns and relationships between the inputs. These layers help the network learn which factors are important for making predictions.
Neural Output Layers
The output layer gives the final result. It takes everything learned in the hidden layers and gives a score or prediction (e.g., a score between 0-100).
Simulation
We simulate scenarios to test how changes impact growth, guiding strategic decisions.
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