RIntelligence
BProof grade
6Metrics retained
1Evidence records
ClickPostVendor

Reported outcomes

72 hours per month, more thanPrior monthly POD workloadMonthly · ClickPostBaseline: This is the stated pre-implementation workload. · Formula: Directly reported approximate baseline.
75 hours per month, approximatelyPOD time savedMonthly · ClickPostBaseline: 72 · Formula: The claimed saving slightly exceeds the separately reported 72+ baseline, so no exact formula is defensible.
900 hours per year, more thanAnnual POD time savedAnnualized · ClickPostBaseline: No exact annual prior workload is disclosed. · Formula: Approximately 75 hours/month × 12 months = approximately 900 hours/year.
90 %, more thanSLA adherenceNo measurement window is disclosed. · ClickPostBaseline: 75 · Formula: More than 90% final - approximately 75% baseline = more than 15 percentage points.
90 % of local transporters, more thanLocal transporter onboardingWithin one month · ClickPostBaseline: No prior onboarded share is disclosed. · Formula: Directly reported coverage without numerator/denominator.
3 days fasterPayment-cycle improvementNo observation window is disclosed. · ClickPostBaseline: 3 · Formula: The source reports the improvement and prior delay imprecisely, without final cycle endpoints.

Context and boundaries

WorkflowPOD automation–Transporter onboarding–SLA visibility–Payment-cycle closureKapiva's B2B operation reports POD automation, higher SLA adherence and three-day faster payments.
ImplementationMore than 90% of local transporters were onboarded within one month.One-month onboarding window; time-saving metrics reported monthly and annually
CaveatsThe 72+ hour baseline and approximately 75-hour saving are not perfectly reconciled.–The case labels an at-least-15-percentage-point SLA increase as 15%.vendor_owned

Source trail

  1. Kapiva B2B customer story

    Kapiva's B2B case says POD work previously exceeded 72 hours monthly, while the result is described as about 75 hours saved monthly and 900+ annually. SLA moved from about 75% to above 90%, described as a 15% improvement although the endpoints imply at least 15 percentage points. More than 90% of local transporters were onboarded within one month and payment cycles improved by three days.

    company · accessed 2026-07-13
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