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7 Targets reengineered to go Serverless in AWS Cloud

7Targets AI Sales Assistant

7Targets is a SaaS B2B company in the Sales and Marketing domain focused on lead nurturing. It has a flagship product ‘AI Sales Assistant’ which has the capability to write emails and do follow-ups with the leads. As well, to read the received responses and act accordingly.

Customer challenge

Being an email-based AI Assistant, 7Targets wanted to make sure that a scalable and working solution is created to send and receive the emails. The received email is read, categorized, understood and entities extracted from. So that further action can be taken by the assistant.Specific project-level challenges were:

How the solution was deployed to meet the challenge

Applied AI Consulting worked on a solution

This has helped solve the problem of sending the email and then the follow-up email at the right time too. The right categorization of the received email, based on which lead state was updated and the action ahead was decided by a state machine.Along with categorization from the email text, there was also a need for entity detection like date, phone number, etc. which was done as part of this implementation. For e.g., if an email was received and categorized to be ‘Out of Office’ then the return date was identified from the email so that the assistant can follow-up after the lead’s return to the office instead of following up in the Out of office period.

Third-party applications or solutions used

AWS services used as part of the solution

AWS Stepfunctions, AWS Lambda, AWS RDS, AWS Comprehend, AWS S3, AWS SES, AWS ECR, AWS Fargate, AWS SNS, AWS SQS, AWS API Gateway, AWS Cloudwatch, AWS ELB, AWS Cognito, AWS WAF, AWS CloudFormation, AWS DMS, AWS Route53

Outcome(s)/results

Able to grow per day email sending from 1K to like 10K and per day and can still grow more with the present solution.Able to process the response at a similar level but the responses are not as high as email sending. Will proper limits and thresholds are set and with continuous monitoring of failure for lambda and step functions the limits and thresholds are changed. The container in Fargate is auto-configured to scale up and down. The Continuous deployment pipelines are helping with automated zero-downtime deployments to QA and then production setup. 

Architecture diagrams of the specific customer deployment

Pipeline for deployment

About Applied AI Consulting

AAIC is a technology services company that provides high-end engineering services and is proficient in enterprise-class for IT delivery.
AAIC focuses on Automation in Cloud and DevOps

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