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From Scalability to Reliability: Enhancing Email Management and Deployment Efficiency
A leading company in the sales technology sector, this organization focuses on improving sales efficiency and productivity using its patented AI-based lead nurturing solution. The company’s AI Sales Assistant utilizes natural language processing (NLP) and machine learning (ML) models to ensure no lead is lost and to enhance overall sales performance. The AI Sales Assistant is designed to write, send, receive, and read emails, classifying them to take appropriate follow-up actions.
Need for Scalable infrastructure to manage a tenfold increase in daily email volume.
Requirement for Precise Email categorization and entity extraction to enhance data accuracy and processing.
Necessity to handle bounced and complaint email responses effectively to maintain communication integrity.
Urgency to Automate deployment processes to ensure continuous availability in QA and production environments.
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Automated Lead Processing: Developed state machines using AWS Step Functions and Lambda for seamless lead processing and email response categorization.
Enhanced Email Validation: Implemented email validation using Debounce and Zero Bounce APIs, ensuring accuracy in the initial lead processing steps.
Integrated & Scalable Deployment: Configured AWS services for automated, zero-downtime deployments and integrated the solution with third-party CRMs like Hubspot and Pipedrive.
Expanded email sending capacity from 1,000 to 10,000 emails per day, meeting growing demands efficiently.
Improved accuracy in processing and categorizing email responses, ensuring precise follow-up actions.
Implemented automated, zero-downtime deployments, ensuring high system reliability and availability.
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