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Applying the Economic Order Quantity (EOQ) formula can significantly reduce a company's recruitment costs by optimizing the frequency and size of hiring batches. This inventory management principle, when adapted for talent acquisition, helps HR departments minimize expenses associated with advertising, interviewing, and onboarding by identifying the most cost-effective number of candidates to engage per hiring cycle. For businesses, this translates to a more efficient use of the recruitment budget and improved long-term hiring strategy stability.
While traditionally used for inventory management, Economic Order Quantity (EOQ) is a formula that calculates the ideal order size to minimize total inventory costs. In a recruitment context, EOQ can be a powerful metaphor for determining the optimal number of candidates to process in a single hiring campaign to balance costs. The core idea is to find the sweet spot between the expenses of launching a new recruitment drive (ordering costs) and the costs of having a pipeline of candidates who are not immediately hired (holding costs). Understanding this balance is crucial for recruitment process optimization, as it prevents both frequent, small-scale hiring that wastes resources and large-scale hiring that leads to lengthy, costly candidate pipelines.
To adapt the EOQ model, we must first understand the recruitment costs it aims to optimize. These are analogous to the costs in the original formula but are specific to talent acquisition.
Ordering Costs (Cost per Hire): These are the one-time costs incurred each time a company initiates a recruitment process. This includes advertising spend on job boards, recruiter man-hours spent on candidate screening, background check fees, and the time dedicated by hiring managers to interviews. High ordering costs encourage processing more candidates in one batch.
Holding Costs (Pipeline Maintenance Costs): In recruitment, this refers to the cost of maintaining a talent pipeline. If a company engages a large pool of candidates but only makes a few hires, the "holding costs" include CRM software subscriptions, communication efforts to keep candidates warm, and the risk of losing top talent to competitors due to a slow process. High holding costs encourage more frequent, smaller hiring batches.
Shortage Costs (Cost of Vacancy): This is the cost of not having a role filled. It encompasses lost productivity, revenue impact, overtime pay for existing staff covering the gap, and the potential decline in team morale. A high cost of vacancy justifies a larger investment in recruitment to fill the position faster.
The standard EOQ formula is: EOQ = √(2DS / H)
When applied to recruitment, the variables can be interpreted as follows:
Example Calculation: A tech company needs to hire 24 data analysts per year (D=24). Each recruitment campaign costs around $3,000 (S=3,000). The estimated annual holding cost per candidate in the pipeline is $120 (H=120).
EOQ = √(2 * 24 * 3,000) / 120) EOQ = √(144,000 / 120) EOQ = √1,200 EOQ ≈ 34.64
Since you can't hire a fraction of a person, the EOQ ≈ 35. This suggests the most cost-effective strategy is to run a recruitment campaign aimed at hiring approximately 35 data analysts at once, rather than hiring in smaller, more frequent batches.
Adopting an EOQ-inspired approach to recruitment planning offers several tangible benefits for employer branding and financial efficiency.
To effectively implement this strategy, HR teams should first conduct a thorough audit of their recruitment costs to accurately define 'S' and 'H.' Based on our assessment experience, the most significant savings come from consolidating recruitment activities for high-volume roles. Finally, always remember that the model is a guide, not a rigid rule; market conditions and candidate availability must be factored into final decisions.






