66% reduction in processing time, significantly enhancing operational efficiency through our AI-powered AWS solution
Executive Summary
Challenge: CareerSpring had to do a lot of manual labour in order to feed their job search platform with data from their partners. This was a time-consuming, costly, and inefficient process hindering growth.
Approach: Through leveraging GenAI and Amazon Bedrock from AWS, we created a simple yet powerful web application that allows users to input the URL of a job offer they want to migrate to the new partner system.
Result: Thanks to our AI-powered solution, processing a single job listing takes now around 66% less time than before. This improvement greatly increased our client’s efficiency.
Services we used:
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About the client
CareerSpring is a US-based public charity dedicated to helping first-generation college graduates build networks and find high quality employment. They provide career information, social capital, and job placement services. One of their key services involves aggregating job listings from various partners and sources on the internet and publishing them on a centralized platform.
The tool developed by Future Processing has transformed our job listing process, making it far more efficient and reliable. Their expertise and innovative approach have been invaluable, and we are extremely satisfied with the results. The automated solution not only saved us time and resources but also enhanced the overall accuracy and effectiveness of our job search platform.
AI-powered solution to drive efficiency
Through our AI-powered solution, we demonstrated that data aggregation from various sources can be standardized while saving as much as 66% of time, reducing operational costs, and boosting efficiency.
Our experts leveraged cutting-edge technologies, including GenAI and Amazon Bedrock from AWS, to develop a simple yet powerful and secure web application. The solution is scalable and resilient thanks to Amazon Bedrock’s high-performing foundation models and the flexibility it offers.
This application allows users to input the URL of a job offer, which the system then processes and migrates to a new partner system automatically. The implementation of AI has minimized manual work, reduced processing time, and significantly lowered the risk of human error.
Previously, manually processing a single job listing took approximately 15 minutes. Thanks to the solution, this time has been reduced to just 5 minutes. Given that such processes are handled daily, this improvement has greatly increased our client’s efficiency.
I highly recommend Future Processing for their technical proficiency, innovative solutions, and professional approach. Their contribution has been instrumental in advancing our mission to support first-generation college graduates.
Technologies and AWS services used in the project
- AWS Amplify
- AWS Lambda
- Amazon Bedrock
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