BRIEF
A large engineering services and contract staffing firm was hiring for multiple technical roles across sectors like oil & gas, infrastructure, and manufacturing. With thousands of candidates flowing through multiple recruiters, cities, and Excel sheets they lacked a centralized view of their own candidate base.
As a result, recruiters were frequently re-purchasing candidate data from job boards, even when those same profiles had already been contacted or saved earlier by someone else in the organization.
They partnered with Hunar to build a shared recruitment system that could act as a source of truth, reduce data duplication, and help recruiters work more efficiently.
PROCESS OVERVIEW
Before Hunar Integration
Each recruiter maintained their own sheets or tools, resulting in:
Candidate data scattered across files, emails, and local drives
No easy way to check if a candidate was already contacted
High dependency on paid platforms for sourcing the same talent repeatedly
Manual follow-ups and inconsistent outreach across teams
Challenges in this approach:
Rising sourcing costs from repeated data purchases
Delays in reaching out to high-potential profiles
Low visibility for managers into recruiter performance or pipeline health
After Hunar Integration
Hunar provided a centralized hiring platform with smart workflows:
Unified database across all recruiters and locations
AI-powered search to instantly find relevant candidates by skill, location, or industry
Check Interest tool to gauge candidate intent before spending recruiter time
Active dashboards to track recruiter activity, candidate responses, and pipeline progress
STRATEGIC IMPACT
The platform created both operational clarity and cost savings:
Recruiters would check internal database before purchasing data from aggregators
Every candidate touchpoint was tracked and searchable
Managers have visibility into funnel status across locations, and recruiter performance
Candidate engagement improved due to faster follow-ups and focused outreach
RESULTS ACHIEVED
Metric | Value |
Centralized Database Created | 6 Lakh+ Profiles |
Data Duplication Reduced | Approx 60% of the Data is already available within the system |
Candidate Engagement Improved | Higher Check-Interest Conversion |
Resume Search Time | Reduced from 3 to 4 hours → less than 5 min |
BUSINESS OUTCOME
Lower sourcing costs by building and using an internal talent pool
Faster candidate outreach with smart filters and AI suggestions
Increased accountability and transparency across teams
Built long-term recruitment memory, improving ROI over time
This case proved that even in industries where recruiters move fast and work across complex roles, a centralized, intelligent platform can reduce cost, save time, and improve outcomes at scale.