automated Message Template Selection Engine (aMTSE)

We have a client with a platform that serves messages to customers through an app related to home maintenance. These messages are filtered through a set of criteria. This ‘engine’ will automate and refine the filtering criteria by seeking a ‘best match’ between buildings/users and sets of message templates. It will accept some attributes of a building, and the users in that building, run through available templates, and select the best template based on a best-match of weighted variables. It will then pass back that information to our messaging system, which will fill details into the template and send the message to the user(s). This solution will use a container technology (docker to be loaded into AWS ECS Tasks) that will be fed inputs from AWS SQS and output results via AWS SQS. The solution can use AWS Elasticache (redis) if needed for shared data between containers or data that might be used between sessions and must be able to scale to handle millions of input items using multiple containers. The containers will run Node JS and interface with AWS DynamoDb to get settings needed to perform matching. ****** We are posting a more detailed brief with this overview. You will find two documents, one that outlines the workflow, and one that is technical. Please READ THEM FIRST before you indicate your interest or ask questions, because it might clear up quite a few details and that will save all of us a lot of time. If you are interested in this project, the next step will be to get in touch with us to express your interest and explain any experience you have with similar projects, and with these (and relevant) technologies. At that point, we will be pleased to answer questions. From there, you will be invited to outline a plan and suggest (staged) payment terms and total cost. This project will lead to further projects for the right candidate. Thank you for your interest.