call_center_ai · saas · workflow
Bullhorn improves contact center staffing adherence from about 30% to 96% with Verint Workforce Management Professional
Bullhorn's staffing levels and call volumes were out of sync, with analysts working constantly to keep up with demand and no reliable forecasting capability to scale support as the customer base expanded.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Call volume forecasting
Verint Workforce Management Professional forecasts call volumes to provide the predictability needed to have the right people in the right seats at the right times.
Tools used
Verint Workforce Management ProfessionalRodeoACDCRM
Outcome
Staffing adherence improved from about 30% to 96%, CSAT averaged 96 or greater, and First Call Resolution reached nearly 82%. The contact center became more cost-effective by eliminating overstaffing during slow periods.
Results
Volumeover 96%
Cost replacedmore cost-effective
Grounding & classification
Source type: vendor customer story
33 fields verified against source quotes.
forecastingsupport ticketfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedsoftwareaccuracy improvementcost reductioncustomer satisfactionemployee productivityvendor customer storycall center aicustomer supportdata sync enrichment