HireVue Case Studies AI-Powered Talent Pool Engagement: A Case Study on Randstad

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	AI-Powered Talent Pool Engagement: A Case Study on Randstad HireVue

AI-Powered Talent Pool Engagement: A Case Study on Randstad

HireVue

Technology Category	Application Infrastructure & Middleware - Database Management & Storage Infrastructure as a Service (IaaS) - Cloud Databases
Use Cases	Leasing Finance Automation
Challenge	Randstad, a leading global staffing agency, faced a significant challenge in maintaining the recency of their talent database and nurturing relationships at scale. The company's mission is to match smart people with great jobs, and their talent database is a core component of this mission. However, the company was struggling to engage millions of candidates effectively and maintain in-country compliance due to new privacy laws requiring explicit consent. Additionally, they were also facing the challenge of uncovering new job seekers in a tight labor market. The traditional marketing automation approach of using a landing page and form fields to collect profile details was not yielding the desired results. Read More
About Customer	Randstad is a global leader in the HR services industry and specializes in solutions in the field of flexible work and human resources services. Their services range from regular temporary staffing and permanent placements to in-house, professionals, and HR Solutions. Randstad's talent database is a crucial part of their mission to match intelligent individuals with excellent job opportunities. However, they faced challenges in maintaining the recency of this database and nurturing relationships at scale, especially with the advent of new privacy laws and the need to uncover new job seekers in a tight labor market. Read More
Solution	To overcome these challenges, Randstad turned to AllyO, a provider of AI-powered solutions. AllyO offered a modern and scalable way to engage candidates, combining email outreach with natural language-based and multi-lingual webchat. This approach was designed to support multi-lingual communication in English and French, and to engage millions of candidates at scale. The solution also aimed to uncover new job seekers and enrich candidate profiles to maintain in-country compliance. The implementation of the solution was swift, taking less than four weeks. AllyO's solution was able to contact over 1.6 million profiles and uncover 12,500 new active job seekers within this short period. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Database Management & Storage

Infrastructure as a Service (IaaS) - Cloud Databases

Use Cases

Leasing Finance Automation

Challenge

Randstad, a leading global staffing agency, faced a significant challenge in maintaining the recency of their talent database and nurturing relationships at scale. The company's mission is to match smart people with great jobs, and their talent database is a core component of this mission. However, the company was struggling to engage millions of candidates effectively and maintain in-country compliance due to new privacy laws requiring explicit consent. Additionally, they were also facing the challenge of uncovering new job seekers in a tight labor market. The traditional marketing automation approach of using a landing page and form fields to collect profile details was not yielding the desired results.

About Customer

Randstad is a global leader in the HR services industry and specializes in solutions in the field of flexible work and human resources services. Their services range from regular temporary staffing and permanent placements to in-house, professionals, and HR Solutions. Randstad's talent database is a crucial part of their mission to match intelligent individuals with excellent job opportunities. However, they faced challenges in maintaining the recency of this database and nurturing relationships at scale, especially with the advent of new privacy laws and the need to uncover new job seekers in a tight labor market.

Solution

To overcome these challenges, Randstad turned to AllyO, a provider of AI-powered solutions. AllyO offered a modern and scalable way to engage candidates, combining email outreach with natural language-based and multi-lingual webchat. This approach was designed to support multi-lingual communication in English and French, and to engage millions of candidates at scale. The solution also aimed to uncover new job seekers and enrich candidate profiles to maintain in-country compliance. The implementation of the solution was swift, taking less than four weeks. AllyO's solution was able to contact over 1.6 million profiles and uncover 12,500 new active job seekers within this short period.

Impact #1	The implementation of AllyO's AI-powered solution resulted in a significant improvement in Randstad's ability to engage with candidates at scale. The solution's natural language-based and multi-lingual webchat capabilities allowed for more effective communication with candidates, leading to a higher engagement rate. Furthermore, the solution's ability to uncover new job seekers helped Randstad to expand their talent pool and find more candidates for the job opportunities they offer. The swift implementation of the solution also meant that Randstad could start seeing these benefits in less than a month, demonstrating the solution's efficiency and effectiveness.

Impact #1

The implementation of AllyO's AI-powered solution resulted in a significant improvement in Randstad's ability to engage with candidates at scale. The solution's natural language-based and multi-lingual webchat capabilities allowed for more effective communication with candidates, leading to a higher engagement rate. Furthermore, the solution's ability to uncover new job seekers helped Randstad to expand their talent pool and find more candidates for the job opportunities they offer. The swift implementation of the solution also meant that Randstad could start seeing these benefits in less than a month, demonstrating the solution's efficiency and effectiveness.

Benefit #1	1.6 million profiles contacted
Benefit #2	96% of conversations completed
Benefit #3	2% engagement rate despite 9 years as a median age since the last contact

Benefit #1

1.6 million profiles contacted

Benefit #2

96% of conversations completed

Benefit #3

2% engagement rate despite 9 years as a median age since the last contact

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Overview

AI-Powered Talent Pool Engagement: A Case Study on Randstad

Operational Impact

Quantitative Benefit