Use Case
Personalization strategies and
segmentation in the retail sector
Use Case
Personalization and segmentation strategies in the retail industry
ContextA retail company seeks to understand and address the needs and preferences of its clientele, recognizing that this is fundamental to maintaining its competitiveness and optimizing its sales performance. In this context, the retail entity is faced with the challenge of effectively segmenting its customer base to offer personalized and relevant shopping experiences tailored to the individual interests of each customer.
Target
Personalized customer management
AI technologies used
Machine learning and segmentation algorithms
Challenges and scope
In-depth analysis and understanding of customer needs, preferences and behaviors in order to offer products and services that meet their expectations.
Generating greater interest and satisfaction from in-depth customer knowledge
Personalization of marketing and sales strategies
Benefits
Offering customized services
Redirection of marketing and product development efforts to more relevant user segments
Offering differentiated solutions adapted to the market demands.
English 
Spanish