Real Estate Agency: Upscaled with AI ATS

Newly-hired branch managers lacked the required sales acumen to uphold the brand’s 98% client satisfaction rate.

Manual executive searches made hiring long and tiresome, delaying office openings by 4-6 months each, leading to missed market opportunities.

35% of new hires clashed with the agency’s client-first ethos, leading to an increased turnover.

Regional teams used incompatible spreadsheets, causing communication gaps, messy workflows, and duplicate candidates.

With agency commissions consuming up to 25% of expansion budgets meant for property acquisitions, expenses reached a new level.

LeoHire’s AI-Powered recruitment dashboards ranked candidates by 12+ performance metrics (e.g., 3-year sales growth, team retention rates) and benchmarked them against top-performing current executives.

Saved a whopping 65% of site selection time as AI analyzed local market data (e.g., home prices, agent density) and talent pools to recommend optimal cities for new offices.

Filtered out 80% of mismatches in the initial stages of selection and recruitment through intelligent natural language processing which evaluated interviews with 5 core values.

LeoHire’s cloud-based platforms synced candidate data across all regions in real time, eliminating any messiness and giving leadership a single view of 1200+ prospects.

Bookmarked passive candidates via LinkedIn and Realtor associations with intense customized outreach, reducing agency fees by $450K annually.