Customer case case · Rocketizer Intelligence

BProof grade

9Metrics retained

1Evidence records

Yellow.aiVendor

Reported outcomes

30 daysImplementation timeIntegration interval · Yellow.aiBaseline: No prior implementation duration is disclosed. · Formula: Exact kickoff and acceptance criteria are absent.

600 use casesUse casesAt initial deployment · Yellow.aiBaseline: No prior automated-use-case count is disclosed. · Formula: Use-case boundaries are not defined.

13 languagesLanguagesAt initial deployment · Yellow.aiBaseline: No prior automated-language count is disclosed. · Formula: Direct configuration count.

45 %+ of conversationsNon-English conversation shareNo period is disclosed. · Yellow.aiBaseline: No prior language-share baseline is disclosed. · Formula: Conversation cohort and language-classification method are absent.

10 USD millionSales attributedNo period is disclosed. · Yellow.ai case titleBaseline: No prior digitally attributed sales are disclosed. · Formula: Attribution model, revenue definition and cohort are absent.

80 million+ conversationsPlatform conversationsNo accumulation period is disclosed. · Yellow.aiBaseline: Cumulative volume is not a before-after metric. · Formula: Conversation inclusion/deduplication are absent.

500000 bookingsLPG bookingsFour weeks · Yellow.aiBaseline: Booking volume is not a before-after metric. · Formula: Booking attribution and unique-order rules are absent.

4.4 score out of 5CSATNo period is disclosed. · Yellow.aiBaseline: No prior score or sample is disclosed. · Formula: Survey method, sample and aggregation are absent.

99 %Bot accuracyNo period is disclosed. · Yellow.aiBaseline: No prior accuracy or test set is disclosed. · Formula: Accuracy definition and denominator are absent.

Context and boundaries

WorkflowUrja on web/Facebook/WhatsApp–LPG booking–Alerts and actions with IRIS–Multilingual serviceNamed India public-sector-energy case with rapid implementation, broad multilingual scope and sales, booking, CSAT and accuracy claims.

ImplementationIntegrated with BPCL private cloud in 30 days for 600 use cases and 13 languages.Metrics cover four-week, cumulative and otherwise undisclosed windows.

CaveatsVendor-hosted proof.–Sales attribution and accuracy methodology are not disclosed.vendor_owned

Source trail

Bharat Petroleum Urja case
Bharat Petroleum deployed Urja across web, Facebook and WhatsApp in 30 days for 600 use cases and 13 languages; more than 45% of conversations were non-English. The case headline/body report US$10M in sales and 80M+ platform conversations. Impact counters report 500,000 LPG bookings via WhatsApp in four weeks, 4.4/5 CSAT and 99% bot accuracy. Attribution, baselines and metric formulas are not disclosed.
company · accessed 2026-07-13

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