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Mass Recruitment in the Digital Age: The Future of Hiring

08/04/2023

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Finding enough “good” candidates is always the biggest problem when we talk to organizations of all shapes and sizes. When businesses must fill a large number of openings quickly, the issue becomes more challenging. For recruiting teams, who struggle to handle the mass recruitment, this is a major headache. The solution to problems will be supportive technology software and applications, which will simplify the hiring process for both the company and the candidates.

What is Mass Recruitment?

Mass recruitment refers to the process of hiring a significant number of individuals within a particular time frame. This approach is often utilized when a company is rapidly growing or requires many new employees simultaneously, such as when opening a new branch or during peak periods in service industries.

In contrast to low-volume hiring, the mass recruitment procedure necessitates more preparation work and takes longer to choose candidates. Because of this, focusing more on hiring speed, automation, and efficiency is necessary for mass hiring, especially when it comes to getting rid of manual processes that become unworkable at scale.

Why Should You Make Use of Mass Recruitment?

Although it is uncommon to come across many businesses using this method of hiring employees, it is the most effective choice when it comes to incorporating the right candidates for brief periods of time. Those advantages mentioned below will prove that assertion.

Speed and Efficiency

Let’s say you are the head of recruitment, and one day, your boss announces that a new branch will open early in the following year. It’s exciting news that shows how well-run and quickly expanding the company is. However, you are aware that the new branch will need to hire hundreds of new employees quickly, and your boss will not tolerate any compromise on the quality of the candidates.

Then the most effective solution that can meet the criteria of time and quality is definitely mass hiring.

This is the proper hiring procedure that aids in selecting the best candidates. However, these steps can be streamlined with the help of recruitment automation, which is crucial when hiring large numbers of candidates. Recruitment automation uses digital technologies to speed up the hiring process by automating various tasks and workflows, increasing productivity, and assisting recruiters in saving time, money, and resources while improving the overall quality of candidates.

Access to a Wider Pool of Candidates

Reaching a large number of candidates is not too difficult due to the popularity of social networking sites and recruitment websites. According to Jobvite, while the average job posting attracts less than 50 candidates, high-volume hiring draws in more than 250 candidates.

access to a wider pool of candidates

Mass hiring entails luring a sizable pool of applicants whose resumes are all logged by the company.

Every time a new position becomes available, the recruiting team cannot simply search for new applicants. Past candidates’ profiles contain useful information that recruiters should also consider. The larger candidate pool gives recruiters more opportunities to gather pertinent information, enhancing the effectiveness of your hiring decisions.

Cost-Effectiveness

The Economist estimates that businesses worldwide have spent more than $400 billion on human resources services. A Glassdoor study found that the average cost of hiring an employee is about $4,000. However, organizations have been able to cut costs significantly through Mass Recruitment. This hiring method significantly decreases recruiting costs because less wasteful advertising, administrative, and employee costs are incurred.

How to Best Optimize Your Mass Recruitment Strategy?

Mass hiring can achieve rapid employee growth, but there are certain risks involved, most notably negative candidate experiences. However, with careful planning, these problems can be avoided.

Define Your Criteria

If you first define the objectives of your organization, you can save a lot of time during the hiring process. Explain to the hiring team the qualities you’re looking for in candidates, such as skills, work experience, background education, or even personality and attitude. You can also create a screening template that specifies the inquiries you’ll make and the kinds of responses you want from applicants.

As with any hiring process, each position must have a detailed job description. If you are recruiting multiple people for the same job, this process becomes much easier. With the final description, you are ready to provide potential candidates with a clear picture of the job.

Develop a Strong Employer Brand

A strong employer brand will attract more applicants for open positions, better-qualified candidates, and lower turnover.

From a survey by CR Magazine and Cielo Talent, 69% of workers said they would not choose a company with a poor reputation, even if it is the only offer they get.

develop a strong employer brand

Businesses must work on their employer brand to demonstrate that they deserve to be chosen as an employer to attract qualified candidates, especially for Mass hiring, where more than just job postings are required.

Keep the Candidate’s Experience in Mind

Mass hiring increases your hiring process’s positive and negative aspects because many candidates will likely contact your business quickly. From the first contact to when you make the job offer, you can still give each candidate a personalized experience even though you need to hire many candidates quickly. It’s a candidate-driven market because there is a global talent shortage. Companies that do not care about the candidate’s experience will struggle in the current labor market. At every stage of the hiring process, candidates should be updated on the status of their applications and the next steps and given plenty of guidance and support to help improve their chances of success. For this reason, you should try to automate communication with candidates whenever you can.

Use Technology to Streamline the Process

Automation Technology is the key to any successful mass hiring. Miahire can be an excellent option if you’re looking for an automation solution to improve workflow and reduce the need for manual or repetitive tasks. Miahire is a video interviewing solution that enables you to screen candidates more quickly and efficiently by digitizing the process of large-scale recruitment.

use technology to streamline the hiring process
  • Manage and set up the interview: Miahire makes it simple to list questions, create an automatic interview schedule, and easily adjust the format and allotment of time for each candidate to respond to questions.
  • Evaluate candidates: Using evaluation forms already created for each job position, recruiters can quickly and fairly assess candidates by comparing positive responses. In particular, video interviews allow you to review candidates whenever you like and consider as many as you like before making a choice.
  • Miahire is available on many different platforms: From web browsers to mobile applications, candidates can attend the interview on-demand at any time and from any location. There won’t be any more back-and-forth phone calls to set up an interview time that works for everyone, which improves their onboarding experience.

With all these highlights, Miahire can help you halve the time required to review applications and conduct interviews without compromising the qualities of hires.

Conclusion

Although mass hiring is difficult, it doesn’t have to be chaotic. Using a well-thought-out strategy and AI-based technology and tools, recruiters can confidently carry it out without skipping anything crucial. Discover Miahire, the best mass recruitment solution from SupremeTech – an outsource app development team, to hire excellent talent on a larger scale more quickly.

References

Dixon, A. (2024) 4 innovative strategies for high volume hiring, ideal. Available at: https://ideal.com/high-volume-hiring/ (Accessed: 15 October 2024).

Jackson, M. (no date) Mass hiring made easy: Best practices and proven strategies, SwagDrop. Available at: https://swagdrop.com/mass-hiring/ (Accessed: 15 October 2024).

Team, G. (no date) How to calculate cost-per-hire (CPH), Glassdoor. Available at: https://www.glassdoor.com/blog/calculate-cost-per-hire/ (Accessed: 15 October 2024).

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Their winning project solved a familiar yet complex issue in the tourism industry: managing group travel efficiently while ensuring every participant enjoys a seamless experience. Presented in clear business logic, executed with agile methodology, and powered by AI-assisted development, their solution proved that innovation thrives when technology meets human insight. Introducing the Team: Small but Strong Team Người Việc brought together a crew of four: Hung Dinh, Huy Nguyen, and Dung Nguyen as front-end engineers, and Khanh Nguyen as the business analyst. While other teams had five members, this smaller team turned their size into strength. With Khanh shaping the business logic and user journey, and the three engineers transforming those ideas into a functional product, they created a strong link between business insight and technical execution. Each member brought a distinct perspective: one focused on monetization and business value, another on operational flow, and others on technical quality and user experience. Together, they created a strong team that has both business insight and technical execution. Khanh shared that: “Everyone respected each other’s opinions. We weren’t chasing perfection, we were building something real, something that worked”. The Challenge: Turning Hot and Heavy Topic into Opportunity When the AI Hackathon began, the participating teams didn’t get to choose their challenge. Each team drew a topic randomly from a pool of three, and fate handed team Người Việc a challenge that was both broad and complex: Destination and Experience Management System for Tourism. Instead of seeing it as an obstacle, the team saw great potential in this topic: “It’s actually very close to what SupremeTech does,” one member shared. “Tourism and service coordination are among the industries where our clients face similar pain points. If developed further, this could even become a real product for the company”. For most teams, tackling something this wide in just 24 hours would be overwhelming. But for Người Việc, it became the perfect opportunity to combine business logic, agile thinking, and AI-assisted development into a single solution. Dũng, one of the front-end engineers shared: “We didn’t see it as just a travel problem. It’s a coordination problem that every company faces because of too many people, too little time, and too many things to track.” The Idea: Transforming Tourism Coordination with AI Manual planning and coordination often create time-consuming processes, lack of feedback, and fragmented communication across travel agencies, corporate HR departments, and trip participants. To solve this, Người Việc envisioned an end-to-end platform that connects all stakeholders, from travel agencies and corporate planners to event organizers and trip participants.The system enables users to: Create and customize travel itinerariesConnect directly with travel agencies through a marketplace modelTrack schedules via QR codeProvide instant feedback during the trip. In short, it bridges the gap between demand and supply in hospitality, creating a more transparent, interactive, and seamless travel experience. The Process: From Brainstorming to AI-Assisted Development What set Người Việc apart was their strategic mindset before touching a single line of code. Instead of rushing to use AI tools right-away, the team began with a face-to-face brainstorming session, mapping out what a real group trip looks like from start to finish: from planning and agency communication to real-time updates and user feedback. To validate their ideas, they even called friends working in hospitality to understand pain points from the field such as: how agencies handle client requests, where information gets lost, and what travelers actually expect. Only after this discovery phase, the team moved into design and development. They first created clear user stories and workflows on their own, then applied story-based prompting by feeding those stories into ChatGPT and Copilot to generate database schemas, API endpoints, and code snippets. This structured use of AI helped them align technical output with business logic and speed up development. Their approach became a model of how AI-assisted development and agile methodology can complement each other, keeping logic clear while boosting speed. Their mantra throughout the process was simple yet powerful: Think first, then use AI smartly. This mindset kept their workflow focused, turning AI into a productivity multiplier instead of a shortcut, and became a highlight in their AI hackathon journey.Without a QC member, the team stayed flexible and shared responsibilities across roles. Each member could take on multiple tasks when needed, but they still kept a clear structure in how they worked. The PTL and BA stepped in as real users, testing features and giving feedback from a user’s point of view. After defining their user roles and business logic, Team Người Việc translated their ideas into a working prototype. Their platform acts as a bridge between corporate planners and travel agencies, creating a space where requests, itineraries, and feedback flow seamlessly in real time. The system’s core features included: Trip creation and customization: HR or operation teams can build itineraries, adjust timelines, and submit requests tailored to their needs.Agency collaboration: Travel agencies receive those requests, update details, and negotiate directly through the platform, no more back-and-forth emails or lost messages.Participant tracking: Each trip generates a public QR code, allowing members to follow updates, view schedules, and send instant feedback during the journey.Transparency and engagement: The platform closes the communication loop, giving every stakeholder a clearer view of the process. With these key flows completed, the team delivered a functional MVP, a product with clean logic, smooth handoffs between roles, and enough structure to be reused or scaled for other industries. Modern Tech Stack Built for AI-Driven Innovation To bring their concept to life within 24 hours, Team Người Việc designed a tech stack that was modern, lightweight, and AI-friendly. Every layer from frontend to deployment was chosen to balance speed, scalability, and maintainability. Frontend Layer: Fast and Built for Clarity The team developed the user interface using Next.js 15 to handle both page rendering and API routes. Combined with TypeScript, it provided type safety and consistency across all modules, reducing human errors in the rush of development. For styling and components, they used Tailwind CSS and shadcn/ui, which allowed them to quickly create a clean, responsive design without spending time reinventing basic UI elements. Despite the tight schedule, the frontend still delivered a cohesive experience from trip creation to QR-based tracking, proving that with the right stack, agility doesn’t mean sacrificing structure. Backend Layer: Structured Logic and Data Flow Behind the interface, the team used Prisma ORM to manage the database layer. Its schema-first approach, paired with TypeScript integration, helped them maintain data consistency while iterating rapidly. The backend services were also written in Next.js, utilizing server functions to keep everything unified and easy to deploy. This setup gave the team clear control over their data models and allowed them to focus on the business logic, ensuring that trip creation, feedback collection, and participant interactions all flowed smoothly without manual handling. Infrastructure & Deployment: Stability under Pressure To keep their development-to-demo pipeline fast and reliable, Người Việc deployed their system on AWS using Dokploy - a self-hosted CI/CD solution that automates Docker-based deployments. This environment allowed them to push code, test changes, and release updates seamlessly without dependency conflicts. By using Docker containers, they replicated production conditions from the start, ensuring that the MVP remained stable and demo-ready throughout the hackathon. The setup was simple enough for rapid iteration yet robust enough to be scaled for real client use. AI Tools: A Smarter, Not Faster, Way to Build AI played a key role in the team’s workflow but only after the foundation was set.ChatGPT acted as their assistant for ideation and logic design, helping refine user stories, define acceptance criteria, and clarify user flows. Meanwhile, GitHub Copilot served as their pair programmer, generating clean snippets, suggesting improvements, and handling repetitive coding tasks. Instead of using AI as a shortcut, Người Việc used it as an accelerator by integrating it at the right moments to enhance productivity while keeping control of direction and logic. >>> Read more related articles: AI-Assisted Ecommerce Solution Wins Third Place at SupremeTech AI Hackathon 2025How Human Intelligence and AI Capabilities Can Redefine Software Development | Featuring The 1st Runner-Up of SupremeTech AI Hackathon 2025 Judges’ Feedbacks Business Perspective From a business perspective, the judges saw Team Người Việc as a perfect example of practicality and vision. Their solution showed how AI-driven development can address real client needs, especially in industries like travel and hospitality. However, the judges also provided constructive feedback for future improvement. While the idea covered a broad scope from sales to operations, they suggested narrowing the focus to one specific stage in the travel management cycle. By doing so, the solution could achieve higher feasibility and faster adoption in real-world scenarios. The judges also encouraged documenting the team’s AI-assisted project management workflow as a reference for future AI hackathon journeys within SupremeTech. The final presentation showcased all the best qualities of their teamwork. The judges highlighted Người Việc’s clear storytelling, strong time management, and smooth demo delivery that effectively illustrated how their system worked. The team’s confident, structured presentation left a lasting impression and perfectly captured the spirit of SupremeTech’s AI Hackathon. Technical and Engineering Perspective From a technical point of view, the judges recognized Người Việc as a team that combined strong engineering skill with thoughtful use of modern tools. They developed their product on a well-defined code base with clear development standards, following a structured flow from analysis and design to implementation, which is remarkable under the time pressure of a 24-hour hackathon. The highlight of their approach was the story-based prompting technique, which kept the project’s logic coherent from start to finish. By crafting prompts around user stories rather than isolated tasks, the team ensured that every AI-generated piece of code served a real business purpose. This balance between automation and human reasoning became one of the defining features of their success. Teamwork: Staying Calm When Things Went Wrong No hackathon story is complete without chaos and Người Việc had their moment too. Just before the final presentation, disaster happened: the team’s slide suddenly became inaccessible because their shared drive was locked by the judges. With only minutes left, they borrowed a laptop, rebuilt the slides from scratch, and walked onto the stage calm and composed delivering a confident demo that looked effortless to the audience. The team recalled “After 22 hours of coding, what stayed with us wasn’t exhaustion. It was that moment when everyone looked at each other and said: We'll make it work, no matter what.” Voices from the Winners For Team Người Việc, winning the hackathon was not just about the prize, it was about learning how humans and AI can truly collaborate. Reflecting on the experience, Dũng shared: “We realized that AI isn’t just a tool, it’s a real teammate, if you know how to ‘talk’ to it. Each team used AI differently: some for brainstorming, some for UI design, others for presentation. But the prompts we gave were never the same, and that’s why the results were so different. AI only shows its real power when people know how to guide it.” As winners, the team also offered advice for those who will join future hackathons: “Prepare everything you can beforehand: boilerplate code, deployment setup, tools, and your fighting spirit. Once the event starts, every minute counts. And above all, trust your team” Conclusion Team Người Việc proved that real innovation is not only about technology, but about people working together with purpose. By combining business insight, teamwork, and the smart use of AI, they turned a difficult 24-hour challenge into a real achievement. For SupremeTech, this victory is more than just a competition result. It’s a reminder that the future of development starts with clear thinking, strong teamwork, and the courage to explore new ways of building with AI. Appendix: 1. How the Team Applied AI Throughout the Project StageApproachAI Application/ Tools UsedAnalysis & DesignThe whole team brainstormed together, role-playing as real users to map out workflows and features.No AI used — this was the most human-driven stage focused on critical thinking.User Story writingConverted rough ideas into logical workflows, defined goals, and acceptance criteria.ChatGPT acted as a virtual BA, turning brainstorm notes into professional User Stories and Acceptance Criteria.Coding (User Story Based)Developers implemented each User Story while communicating directly with the AI assistant for suggestions and refactoring.GitHub Copilot served as a coding partner, reading stories, suggesting code, refining syntax, and accelerating implementation.Testing & ReleaseThe PTL and BA acted as real users to test the product, identify bugs, and refine the UX before release.No AI used — manual testing for real-user validation. 2. Team Tech Stack LayerTech StackFrontend & Backend (Fullstack)Next.js 15 (App Router)UI Libraryshadcn/ui + TailwindCSSAI AssistantChatGPT + GitHub CopilotInfra / DeployAWS + Dokploy 📩 Read more articles about us here: SupremeTech’s Blog

            22/10/2025

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            Quy Huynh

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            How Team Người Việc Won SupremeTech’s AI Hackathon 2025 with AI-Assisted Development and Agile Thinking

            22/10/2025

            266

            Quy Huynh

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