A Leading Global Footwear Manufacturer Increased Its Sales Per Store By 18% With Informed Decision Making & Advanced Analytics

Solution

To tackle the retail segmentation challenges, the Datamatics team solution hinged on harnessing the power of advanced analytics. This approach was instrumental in tailoring store experiences to individual customer preferences and guiding strategic decision-making processes.

Datamatics employed sophisticated methodologies such as k-means, k-prototype, and Agglomerative clustering. These techniques allowed them to delve deep into the store data, enabling them to uncover subtle customer preferences that might otherwise have been overlooked. By doing so, the client was able to fine-tune its segmentation strategies, ensuring they were optimally aligned with customer needs and preferences.