Overview
As the demand for personalized financial services grows, retail banks are under pressure to provide hyper-personalized solutions at scale to remain competitive. Understanding customer spending habits and preferences is essential for client engagement and retention.
Persistent’s Offerwise meets this demand by identifying transaction data patterns and producing easily interpretable profile summaries. These insights empower banks to identify new product recommendation opportunities based on customer behavior, offering a transparent rationale for each suggestion. This capability enables banks to offer more relevant and timely financial services, ultimately boosting customer satisfaction and loyalty.
Utilizing large language models (LLMs), Offerwise revolutionizes personalized marketing by producing natural language reports on user spending habits, offering in-depth insights into customer behavior, and providing customized product recommendations tailored to individual customer needs. Additionally, Offerwise streamlines the creation and editing of persuasive marketing content, including targeted emails at scale, thereby saving time, enhancing marketing campaign effectiveness, and delivering highly relevant and compelling communications to customers.
The AWS services which were used are Amazon Bedrock, AWS Lambda, Amazon DynamoDB, Amazon S3, Amazon EC2 or AWS Fargate, AWS Kendra and Apprunner
Highlights
- Offerwise helps in generating natural language reports on user spending habits by analyzing transaction data using LLMs
- Helps in personalizing product recommendations by leveraging LLM generation.
- Uses the power of LLM to generate and edit persuasive emails to targeted customers.
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