Our approach comprised two pivotal components:
-> Web Scraping Tool: We developed a sophisticated web scraping tool to extract precise keywords from job listings, enhancing categorization accuracy.
-> SOTA Presentation: We created a visionary state-of-the-art (SOTA) presentation, demonstrating automated field auto-fill capabilities to streamline the application process.

Python, Selenium and FastAPI were used to implement a service able to scrap form fields from a given website, and to fill automatically the forms once the data are provided
Neo4J and PostgreSQL were databases used for storing graph data describing relations between job offers, job seekers and other data which can be used to look for mutual associations, as well as more general and structured metadata of job offers.
Sklearn was used to implement a recommendation engine looking for best matches between job seekers and job offers.

Before implementing the SOTA and POC solutions, Swiftly faced several challenges:

Inaccurate Categorization: Swiftly encountered difficulties in accurately categorizing job listings, causing mismatched job offers and candidates.
Manual Application Process: Manual application processes consumed time and resources, impeding scalability.
Insufficient Automation: The absence of automated keyword extraction led to imprecise job listing categorization.
Scaling Issues: Manual processes and categorization limitations hindered scalability.
Lacking Technological Strategy: Swiftly lacked a comprehensive technology-based strategy to enhance categorization accuracy and streamline processes.

Swiftly’s collaboration with DAC.digital resulted in the successful resolution of their job portal challenges through the implementation of innovative automation solutions. The web scraping tool and the SOTA presentation highlighted the potential of technology to enhance processes, elevate user experiences, and pave the way for future enhancements.


How we approached and delivered the solution

The project concluded with the creation of an advanced SOTA solution that effectively addressed Swiftly’s challenges. This solution improved job listing categorization precision and streamlined the application process. The SOTA also offered a proof-of-concept for refining job listing keywords and automating application field population.


Solution in less than 16 days!

DAC.digital has consistently delivered results that exceed our expectations. Their collaborative approach, attention to detail, and commitment to driving tangible business outcomes make them a true partner in innovation. 

Aditya Gudipudi

Anonymous

DAC.digital Success Story in HR Tech for Swiftly One - A case study | 2024

Swiftly, a Stockholm-based startup, grappled with two significant challenges within their job portal. Firstly, accurate categorization of job listings posed difficulties, leading to suboptimal user experiences and ineffective job matching. Secondly, the manual job application process was time-consuming and resource-intensive, restricting scalability.


Problem overview

The client stakeholders at Swiftly One were working closely with the team at DAC.digital

Enhancing Job Portal Efficiency with Automation

DAC.digital

Due to the brilliant communication and totally professional approach from the Swiftly team on top of their engagement we managed to finish and deliver the results in record 16 days (although estimated for 21). Hats off to such a customer!

Radoslaw Szmit

Our company culture is flat and open praising skills and experience over artificial hierarchy. We boldly implement new technologies and promote unconventional solutions, we experiment. Excellence & scientific approach are part of our DNA. 

We deliver on time. 

Autonomy and sense of responsibility of our team is something we care about in DAC. Team members are not only cogs in the machine, but have a great impact on the final product they work on. They are equally responsible for both failures and successes, and the latter is widely known as a significant satisfaction factor at work. 

DAC.digital

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Challenge, approach, and impact

Problem overview

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Client team

Aditya Gudipudi

Agency team

2 x Fullstack Developer

3 x AI/ML Engineer

1 x Project Manager

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