Client
A leading global retailer with an extensive online and offline presence sought to improve customer engagement and loyalty through AI-driven personalization and predictive analytics.
Challenges
The client was relying on traditional marketing strategies, limiting scalability, personalization, and actionable insights. Dispersed customer data created integration challenges, while inconsistent and duplicate records led to ineffective targeting. Manual campaign execution was time-consuming, and the lack of predictive capabilities made it difficult to anticipate customer behavior or optimize marketing spend.
Solution
Visionet implemented a personalized marketing solution using Azure AI Studio, consolidating fragmented customer data into a unified Azure Data Lake for a 360-degree view. AI-powered segmentation and predictive models optimized recommendations, content personalization, and automated campaign execution. The solution seamlessly integrated with the client’s CRM and eCommerce systems. AI-driven dashboards provided real-time performance insights, while automated retraining ensured continuous optimization.
Why download this case study?
- Learn how AI-driven personalization increased engagement by 15%.
- See how predictive analytics boosted sales by 10% through targeted recommendations.
- Discover how automation reduced campaign creation time by 17%.
- Explore how a cloud-native AI platform improved scalability and future-proofed operations.
Download the case study.