Customer case case · Rocketizer Intelligence

BProof grade

8Metrics retained

1Evidence records

Yellow.aiVendor

Reported outcomes

40000 + queries/dayDaily query workloadBefore deployment, dates unspecified · Yellow.aiBaseline: This is pre-deployment problem context. · Formula: Query inclusion/deduplication are absent.

? % of queriesInstantly resolved query shareNo period is disclosed. · Yellow.aiBaseline: No prior instant-resolution share is disclosed. · Formula: Query cohort, numerator and denominator are absent.

2 xCSAT improvementSince deployment, exact dates absent · Yellow.aiBaseline: No prior CSAT score is disclosed. · Formula: Baseline and post-score are absent.

80 %CSAT achievedSince deployment · Yellow.aiBaseline: No prior score or survey sample is disclosed. · Formula: Survey instrument and denominator are absent.

99.6 %Resolution accuracyLast one month before case snapshot · Yellow.aiBaseline: No prior accuracy or test set is disclosed. · Formula: Accuracy definition and denominator are absent.

80 %Monthly queries self-servedMonthly operating state, dates unspecified · Yellow.aiBaseline: No prior self-service share is disclosed. · Formula: Query cohort and denominator are absent.

2.8 million messages/quarterSupport messagesQuarterly, dates unspecified · Yellow.aiBaseline: Volume is not a before-after metric. · Formula: Message inclusion/deduplication are absent.

62000 users/quarterQuarterly usersQuarterly, dates unspecified · Yellow.aiBaseline: No prior user count is disclosed. · Formula: Active-user definition/deduplication are absent.

Context and boundaries

WorkflowFlight/hotel/train/activity support–Refunds–Promotions and loyalty–Human escalation–API-backed journeys–SurveysNamed travel case with rich multi-window workload, resolution, CSAT, accuracy, automation and volume proof.

Implementation?Metrics use daily, monthly, quarterly and since-deployment windows.

CaveatsVendor-hosted proof.–2x CSAT improvement cannot be reconciled to an undisclosed baseline and the 80% final level.vendor_owned

Source trail

Tiket.com customer-service case
Tiket.com deployed self-service for flight, hotel, train, activities, refunds and promotions with human escalation and deep APIs. The source says 70-80% of queries receive instant resolution, CSAT improved 2x, and impact counters report 80% CSAT since deployment, 99.6% resolution accuracy in the last month, 80% of monthly queries resolved without agent assist and 2.8M messages with 62,000 users per quarter. The original challenge was 40,000+ queries per day.
company · accessed 2026-07-13

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