All case studies

Travel & hospitality

Travel payments saved $2M+ in staffing costs.

A Fortune 500 travel platform gave its payments and back-office teams one live view of productive hours, raised the occupancy bar, and cut staffing costs.

Payments and back-office teams across regions, mixing in-house staff and outsourced partners in a hybrid setup.

$2M+
staffing costs saved
the same workload fit in the capacity already on the team
60→85%
occupancy target raised
set with partners once productive hours became measurable
+26%
user productivity
within the first two weeks of the original rollout
575
users on 8Flow
across 15 in-house and partner teams

The starting point

Before 8Flow

  • Reports came from scattered sources, with no single view across in-house and partner teams.

  • Occupancy targets sat at 60% because nobody could measure productive hours reliably.

  • Partner and staffing conversations ran on anecdotes instead of data.

The findings

What 8Flow surfaced.

Every finding below comes straight from measured workflow data.

The pilot

Productivity rose 26% in the first two weeks.

Real-time, user-level visibility across in-house and partner teams turned into immediate coaching and workload decisions.

  • Minute-by-minute productivity metrics per user.
  • System usage broken down across every shift.
  • 8% more cases closed, with no new hires or system changes.
+26%
user productivity
two weeks after rollout

The new bar

The occupancy target moved from 60% to 85%.

With productive hours measured the same way for every team, leaders replaced fragmented reports with structured, real-time visibility, then raised the bar and held it.

  • One occupancy standard across in-house and partner teams.
  • Teams reached 75 to 93% occupancy against the new target.
  • Granular event data behind every interaction.
85%
occupancy target
up from 60% before 8Flow

The payoff

Partner conversations became data-driven.

Occupancy became the shared language with outsourcing partners. The same workload fit in the capacity already on the team, and staffing costs came down by $2M+.

  • Partner discussions grounded in measured hours, not anecdotes.
  • Capacity gaps and idle time visible per team and per partner.
  • $2M+ in staffing costs avoided.