
Letting Data Speak, AI Act!
Case Study
Data EngineeringAutomated Outbound IVR System for Lead Management
Overview
JashDS developed an automated outbound IVR system for a home care services provider that integrated Salesforce with Amazon Connect, reducing manual calling efforts by 80% and processing 4,000-4,800 automated calls per campaign. The event-driven solution leveraged AWS Step Functions, Lambda, and EventBridge to intelligently schedule and route calls while maintaining comprehensive call recordings and automated CRM updates.

About the Client
A leading home care services provider specializing in personalized care solutions for clients requiring assistance with daily living activities and medical support services.
The Challenge
The home care provider faced significant challenges in managing and converting leads effectively through their existing manual processes. Their specialists and agents were spending excessive time on routine outbound calls to potential clients, which created bottlenecks in lead conversion and follow-up communications. The organization lacked an automated system to handle initial customer interactions, record responses for analysis, and seamlessly integrate with their existing Salesforce CRM infrastructure. Additionally, they needed a solution that could intelligently schedule calls during appropriate business hours and automatically route interested prospects to their specialist teams while maintaining comprehensive call records and transcripts for compliance and analysis purposes.
Key Results
- Automated 80% of outbound lead calls, reducing manual effort by specialist teams by 65-80 hours per campaign
- Improved lead response time by eliminating manual call scheduling delays and enabling immediate automated outreach
- Achieved significant reduction in operational costs by processing 4,000-4,800 calls automatically per campaign at 40-50 seconds each
Our Solution

JashDS implemented a comprehensive solution that integrated Salesforce with Amazon Connect to create an intelligent outbound IVR system. The solution leveraged event-driven architecture using Amazon AppFlow to detect new lead creation events in Salesforce and automatically trigger outbound calling workflows.
● Event-Driven Lead Processing: Configured AWS AppFlow to monitor Salesforce lead creation events, with Amazon EventBridge filtering for specific event types and triggering downstream processes.
● Intelligent Call Scheduling: Implemented AWS Step Functions to orchestrate workflow execution, including business hours validation and conditional wait states to ensure calls are made during appropriate times (9-5 business hours).
● Automated Outbound Calling: Developed AWS Lambda functions to initiate outbound calls through pre-configured Amazon Connect IVR flows, with intelligent routing based on customer responses.
● Smart Call Routing: Configured the IVR system to automatically connect interested leads to specialist teams while logging uninterested prospects for future reference and analysis.
● Comprehensive Data Management: Established Amazon S3 storage for call recordings, transcripts, and event data, with automated data transfer back to Salesforce for status updates and lead tracking.
● Scalable Architecture: Designed the system to handle varying data volumes, with automatic S3 storage for events exceeding 256 KB and direct EventBridge processing for smaller datasets.
Technologies Used
Related Case Studies
← Back to All Case Studies
Data Engineering
Scalable Serverless AWS Architecture for Dash Cam Data Processing
JashDS developed a scalable serverless AWS architecture for a dash cam technology company, replacing their legacy FTP system with a comprehensive solution featuring ESE Fargate, Lambda functions, S3 storage, SQS and Kinesis queuing to handle video footage and telemetry data processing. The implementation supported a projected tenfold increase in data volume while providing automated scaling, reduced latency, and improved reliability for their new dash cam product line through modern cloud-native data processing pipelines utilizing Aurora RDS, ECS Fargate, and site-to-site VPN connectivity.
Read More
Data Engineering
Real-Time EV Telemetry Analytics for Clean Energy Management
A leading clean energy management platform needed to process massive volumes of real-time EV telemetry data from multiple manufacturers and charging stations to generate critical utility reports. JashDS implemented a scalable streaming architecture using Apache Kafka and Databricks Delta Live Tables. Reduced report generation time and enabled near real-time delivery of both granular usage analytics and peak-demand summaries through automated medallion architecture pipelines.
Read More
Data Engineering
Intelligent Construction Scope Management System
A real estate platform provider enhanced their ProBidder AI system by implementing AWS Bedrock integration and comprehensive materials management capabilities and automating bill of materials generation. The solution included advanced input validation, project progress tracking with real-time visualization, and seamless integration with existing audio/video processing functionality, significantly improving operational efficiency and project management capabilities.
Read MoreHave a similar challenge?
Connect with us
