Job Portal Automation Delivered in Record Time for Faster, More Accurate Job Matching

Ever thought assembling a cutting-edge software team in just 16 days was impossible? Think again. DAC.digital not only achieved this but also set a new benchmark for rapid team formation. Join us as we unveil the story behind this incredible achievement – a blend of strategy, collaboration, and innovation that will reshape your perception of what's attainable in the tech world. Ready to be inspired? Keep reading!

About The Client

Name: Swiftly
Line of Business: Automated Recruiting and Unbiased Recruitment tools
Founding year: 2020
Country: Sweden

The Challenges We Helped Swiftly Overcome

Swiftly, a startup based in Stockholm, faced two key challenges within their job portal system:

Inaccurate Job Categorization: Job listings were not categorized accurately, leading to mismatched job offers and candidates, and resulting in a poor user experience.
Manual Job Application Process: The application process was manual, time-consuming, and resource-intensive, which limited scalability and hindered job portal efficiency.

The Tailored Solutions We Delivered

To address these issues, DAC.digital proposed a comprehensive solution involving automation, precision, and scalability:

Web Scraping Tool: A sophisticated web scraping tool was developed to extract precise keywords from job listings, significantly improving the accuracy of categorization.
State-of-the-Art (SOTA) Presentation: We developed a visionary SOTA presentation to showcase automated field auto-fill capabilities, simplifying the job application process and enhancing user experience.

Swiftly’s mission of efficient recruitment was thretened by technical limitations

Swiftly faced several critical challenges that slowed down every step of recruitment, prevented accurate matching, and stalled growth of the platform.

Inaccurate Categorization: Job listings were inaccurately categorized, making job matching inefficient.
Manual Application Process: The application process was labor-intensive, slow, and resource-heavy.
Limited Automation: Without automation for keyword extraction and categorization, the process was inefficient.
Scalability Issues: Existing processes couldn’t scale effectively as Swiftly’s platform grew.
Lack of Technological Strategy: Swiftly didn’t have a clear technology roadmap to tackle these challenges.

Accurate job matching requires automation which DAC.digital’s team delivered

The following innovations were added to empower Swiftly to match candidates accurately, simplify hiring, and scale their platform.

Web Scraping and Automation: We used Python, Selenium, and FastAPI to develop a system capable of scraping job form fields and automatically filling in applications.
Data Storage and Management: Neo4J and PostgreSQL databases were used to store relationships between job offers, job seekers, and other key data.
Recommendation Engine: To optimize job matching, we implemented a recommendation engine using Sklearn.

Our Approach to Delivering Results

Our solution implementation was broken down into clear steps:

Initial Talks and Kickoff

Collaborative discussions between Swiftly’s leadership and DAC.digital’s technical team laid the groundwork for a productive partnership, aligning expectations and goals.

Team Composition

An 8-person team, comprising ML Engineers, Embedded Systems Engineers, Data Scientists, and Fullstack Developers, came together to tackle the project.

Agile Collaboration

Daily stand-up meetings and ongoing communication facilitated iterative development and enhancements.

Swiftly could live up to their promise of efficient recruitment by applying automation and smart data solutions

Efficient, accurate, and scalable recruitment is only possible with automation and a robust technical foundation. Thanks to DAC.digital’s tailored approach, Swiftly saw impressive results:

Enhanced Job Listing Categorization

The automated tool dramatically improved categorization accuracy, ensuring better job matching.

Streamlined Application Process

Automated form field population and keyword extraction simplified the application process.

Scalable Technology

Swiftly now has the infrastructure in place to scale their job portal efficiently.

Key numbers

Successfully completed within 16 days!