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Development of a Cloud-Integrated Customer Engagement and Data Management Platform for a Financial Services Provider
  1. case
  2. Development of a Cloud-Integrated Customer Engagement and Data Management Platform for a Financial Services Provider

Development of a Cloud-Integrated Customer Engagement and Data Management Platform for a Financial Services Provider

spyro-soft.com
Financial services

Identifying Challenges in Customer Communication and Data Infrastructure

The client faces limitations in their existing communication channels and data management systems, hindering customer engagement and scalability. They require an updated, cloud-supported infrastructure to improve customer interactions, automate inquiry responses, and ensure secure, scalable data handling suitable for evolving business needs.

About the Client

A mid-sized financial services company specializing in consumer lending, seeking to enhance customer communication, data management, and scalability through cloud-based solutions.

Goals for Enhancing Customer Interaction and Data Infrastructure

  • Implement a cloud-based platform to modernize customer communication channels, including an AI-powered chatbot capable of handling inquiries autonomously.
  • Develop an integrated customer dashboard enabling users to manage their accounts, apply for financial products, and track obligations online, reducing reliance on call center support.
  • Migrate existing data and application infrastructure to a cloud environment, ensuring minimal disruption through phased implementation and thorough testing.
  • Optimize cloud infrastructure costs without compromising system performance or security, targeting a cost reduction of at least 68%.
  • Establish scalable, secure, and compliant architecture adhering to industry standards, with continuous support and maintenance for system stability.

Core Functional System Requirements for Customer Engagement and Data Management

  • AI-powered chatbot capable of addressing customer inquiries, integrating with partner platforms, and providing functionalities such as credit rating checks and loan applications.
  • Configurable sales campaign builder allowing manual and automated promotional activities within the chatbot interface.
  • Customer dashboard for account management, loan applications, and obligation tracking, accessible via web and mobile platforms.
  • Gradual migration of existing applications and data to a fully cloud-based architecture with support for non-customer-facing functionalities during transition.
  • Security auditing and compliance verification to safeguard user data and meet regulatory standards.

Preferred Technologies and Architectural Approaches

Cloud platform architecture emphasizing scalability and security
AWS services including storage (S3), serverless functions (Lambda), and infrastructure as code tools (Terraform)
Frontend technologies such as Angular and React for responsive user interfaces
Backend development using .NET and Java frameworks
Continuous integration and deployment tools like TeamCity
Slack and Jira for collaboration and project management

Required External System Integrations

  • Partner platform integrations for chatbot expansion
  • External APIs for credit rating checks and financial data retrieval
  • Existing database systems requiring migration to cloud storage
  • Security and compliance monitoring tools

Key Non-Functional Requirements for System Performance and Security

  • System scalability to handle increasing customer inquiries and data volume
  • High availability with minimal downtime during migration and operation
  • Performance standards ensuring response times under 2 seconds for chatbot interactions
  • Robust security measures, including external audit compliance and data encryption
  • Cost efficiency achieving at least a 68% reduction in cloud infrastructure expenses

Projected Business Benefits of the Cloud Customer Engagement Solution

The implementation of the cloud-based customer interaction platform is expected to significantly increase operational efficiency, enhance customer engagement, and expand market reach. With targeted cost savings exceeding 68%, the client will reduce monthly cloud expenses from approximately $18,000 to under $6,000, while improving user experience and operational scalability, thereby supporting long-term business growth and customer satisfaction.

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