Part 8/11:
Nikita acknowledged that customer segmentation is an ongoing process:
Handling the 'Others' Category: A significant portion of customers remain unclassified under initial segmentation due to generic purchases or infrequent buying. To address this, her team plans to employ semi-supervised learning techniques, such as pseudo-labeling, to iteratively improve classification accuracy.
Increasing Data Coverage: The team is working on expanding their training datasets by continually incorporating new customer data, making the segmentation more comprehensive and dynamic.
Iterative Model Refinement: The process involves regular retraining of models to adapt to changing customer behaviors, product offerings, and market trends.