How Apparel Group slashed hiring from 42 days to 5 with Agentic AI

How Apparel Group slashed hiring from 42 days to 5 with Agentic AI

When store launches were at risk because recruiting cycles dragged, Mopid joined forces to overhaul hiring—delivering an 88% reduction in time-to-hire, higher engagement, and a lighter load for recruiters.

When store launches were at risk because recruiting cycles dragged, Mopid joined forces to overhaul hiring—delivering an 88% reduction in time-to-hire, higher engagement, and a lighter load for recruiters.

Context

Apparel Group is a global retail leader with 2,200+ outlets spanning 14+ countries, representing 80+ brands. Their HR team manages a hefty stream of 20,000+ incoming applicants each month. Despite scale, recurring bottlenecks in hiring meant critical retail openings often slipped or incurred added cost — especially during seasonal ramp periods.

The Challenge

Despite having sophisticated systems, the Apparel HR engine was strained by:

  • Lengthy hiring cycles (average ~42 days)

  • Manual, time-intensive resume screening

  • Complex scheduling across geographies

  • Inconsistent candidate engagement & communications

  • Risks in compromising hiring quality for speed

Leadership needed certainty that speed wouldn’t compromise fairness, consistency, or experience.

The Solution

We didn’t start from scratch. Instead, we augmented their existing infrastructure by layering in Mopid’s Agentic Recruitment Platform, integrating smoothly with their Oracle Cloud HCM system.

  • Autonomous Screening Agent triaged incoming applications in real time, promoting strong fits and filtering irrelevant ones.

  • Scheduling & Coordination Agent handled all interview logistics: booking, rescheduling, reminders — across time zones and calendars.

  • Interview Agent + Psychometrics performed structured interviews, assessed cognitive, behavioral, and personality traits, and generated unified scorecards and interview notes.

  • Candidate Engagement Agent kept candidates informed at each step — providing transparency and minimizing drop-off.

Throughout, human oversight remained central: agents informed decisions, not replaced them.

Deeper Insights

  • Speed + transparency = trust. The system was fast, but not a black box—humans could always review decisions.

  • Augmentation, not replacement. Building on existing systems reduced friction and adoption resistance.

  • Holistic evaluation = better matches. Combining technical, behavioral, and cognitive scoring yielded hires leaders could trust.

  • Consistent communication combats drop-off. Candidates respond better when they feel seen, heard, and kept in the loop.

Outcomes

Time-to-Hire

5

Days

(vs ~42 days)

Recruiter Hours per Role

<2

Hrs/Role

(vs ~15 hours)

Candidate Response Rate

89

%

(vs ~56%)

Seasonal Ramp Duration

2

Weeks

(vs 8 weeks)

Time-to-Hire

5

Days

(vs ~42 days)

Recruiter Hours per Role

<2

Hrs/Role

(vs ~15 hours)

Candidate Response Rate

89

%

(vs ~56%)

Seasonal Ramp Duration

2

Weeks

(vs 8 weeks)

“Before Mopid, seasonal hiring felt like a scramble. Deadlines slipped; recruiters were overwhelmed. With this system, launches stayed on schedule, and our people finally regained strategic time.”

“Before Mopid, seasonal hiring felt like a scramble. Deadlines slipped; recruiters were overwhelmed. With this system, launches stayed on schedule, and our people finally regained strategic time.”

Head of Talent Acquisition

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Elevate Your Hiring Journey with Precision

Scoring and Seamless Communication.

© 2025 Tapmark Private Limited. All rights reserved.

Elevate Your Hiring Journey with Precision

Scoring and Seamless Communication.

© 2025 Tapmark Private Limited. All rights reserved.

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