Recruiting · Production

Pacific Seafood increases applicant activity by 300% using Paradox conversational AI

The problem

Pacific Seafood, a manufacturing company with 45 locations and over 3,000 employees, was operating with only a single recruiter and a limited tech stack, leaving the organization unable to meet hiring goals, manage administrative work, or address long-standing seasonal hiring challenges.

Workflow diagram · grounded in source
1
Candidate applies via chat or text
trigger
“Pacific Seafood reduced applicant drop-off with the chat and the text to apply features”
2
AI answers basic questions
ai_action
“Significant time savings by reducing the amount of basic questions that recruiters needed to manually answer.”
3
Candidates advance through hiring
ai_action
“Candidates moved along in the hiring process swiftly with the help of conversational AI.”
4
Conversational Events drive applicant activity
output
“leveraged Conversational Events to increase applicant activity by 300%”
Reported outcome

Pacific Seafood reduced applicant drop-off, achieved a 300% increase in applicant activity, realised significant time savings by offloading basic recruiter questions to AI, and saw candidates move more swiftly through the hiring process.

Reported metrics
Applicant activity300%
Recruiter time on basic questionsSignificant time savings
Applicant drop-offreduced applicant drop-off
Candidate hiring process speedmoved along swiftly
Reported stack
ParadoxConversational ApplyConversational EventsConversational SchedulingOlivia
Source
https://www.paradox.ai/case-studies/pacific-seafood
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Pacific Seafood reduced applicant drop-off, achieved a 300% increase in applicant activity, realised significant time savings by offloading basic recruiter questions to AI, and saw candidates move more swiftly through…

What tools did this team use?

Paradox, Conversational Apply, Conversational Events, Conversational Scheduling, Olivia.

What results were reported?

Applicant activity: 300%; Recruiter time on basic questions: Significant time savings; Applicant drop-off: reduced applicant drop-off; Candidate hiring process speed: moved along swiftly (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Candidate applies via chat or text → AI answers basic questions → Candidates advance through hiring → Conversational Events drive applicant activity.