Media & Entertainment
Case StudyIndigo

Indigo improves candidate experience and cuts hiring costs by 71% using machine learning

Indigo, Canada''s largest book, gift and specialty toy retailer, receives 1000s of application every week. They are now using Ideal''s platform to centralise hiring process by maintaining a central repository and automating resume screening, initial communication and assessment. They have access to 3X more candidates are able to accommodate seasonal variations in hiring at 71% less cost.

Context

"Repeatedly ranked among the top 10 in Top Retail Employer Brand lists, Indigo, Canada''s largest book, gift and specialty toy retailer, is flooded with over 2200 online applications every single week."

The Project

"Indigo’s Challenges Applicant overload Applicant optimization - find other roles which they are better suited to Seasonal hiring - ubstantial influx during the holiday season Multiple positions, languages, and teams Decentralized hiring process Ideal helped Indigo achieve 1. Improved candidate experience Automatically review every candidate and notify them of their status. Reduce candidate wait times. 2. Increased face-to-face time Free up store managers’ time to spend building relationships with candidates and cultivating a positive corporate culture. 3. Automated the resume screening process Completely remove the manual resume screening stage and lower overall cost. 4. Rediscover past candidates Increase qualified candidates by screening previous candidates who applied to similar roles. 5. Reduced management stress Automate stressful aspects of the hiring process: resume screening, sifting through past applicants and manual interview coordination."

Data

Resume screening, candidate communication

Results

According to Ideal: * 71% reduction in hiring costs * 3.7 times recruiter efficiency * Access to 3X more candidates

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