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Proof grade B

Kapiva

GPT support/recommendation plus ClickPost-integrated WhatsApp NDR and RTO workflows.

LimeChat dossier →
BProof grade
8Metrics retained
2Evidence records
LimeChatVendor

Reported outcomes

more than 50000 tickets/monthMonthly support ticketsBefore GPT deployment · LimeChatBaseline: This is operating context. · Formula: Ticket counting is not disclosed.
90 % of queriesQueries automated — impact cardNo period is disclosed. · LimeChatBaseline: 50 · Formula: Denominator is absent and body separately says 86%.
86 % of queriesQueries automated — bodyNo period is disclosed. · LimeChatBaseline: 50 · Formula: Denominator is absent and card separately says 90%.
4.1 score, scale undisclosedBot CSATNo period is disclosed. · LimeChatBaseline: Prior CSAT is not disclosed. · Formula: Scale, sample and aggregation are not disclosed.
6 INR lakh/monthBot-attributed revenue run-rateMonthly run-rate · LimeChatBaseline: Prior revenue is not disclosed. · Formula: Attribution and gross/net treatment are not disclosed.
30 % reductionRTO reduction — HTML titleNo period is disclosed. · LimeChatBaseline: Prior RTO is not disclosed. · Formula: HTML title conflicts with H1/body/card at 10%.
10 % reductionRTO reduction — bodyNo period is disclosed. · LimeChatBaseline: Prior RTO is not disclosed. · Formula: Order cohort and prior/current rates are absent.
2 x response rateNDR response-rate increaseNo period is disclosed. · LimeChatBaseline: Prior rate is not disclosed. · Formula: Prior/current rates and denominator are absent.

Context and boundaries

Workflowcustomer_support_and_service–marketing_engagement_and_campaigns–personalization_and_recommendations–shipping_delivery_returns_and_tracking–workflow_automation_and_ai_agentsGPT support/recommendation plus ClickPost-integrated WhatsApp NDR and RTO workflows.
Implementation??
CaveatsGPT page conflicts on 90% versus 86% automation.–RTO page conflicts on 30% versus 10% reduction.vendor_owned

Source trail

  1. How Kapiva delivered Exceptional Experience on WhatsApp using LimeChat's E-commerce GPT Bot

    Vendor case: a website-trained GPT bot handles free-text pre/post-purchase questions and product recommendations. It reports INR 6 lakh bot revenue per month and 4.1 bot CSAT. Automation is 90% in an impact card versus 86% in the body; 10% efficiency improvement appears only in the card. Baselines include 50,000+ monthly tickets and roughly 50% handled by the prior click bot.

    company · accessed 2026-07-13
  2. Kapiva's Journey to Reducing RTO by 10% with LimeChat and ClickPost

    Vendor case: ClickPost detects/categorizes NDRs, LimeChat triggers issue-specific WhatsApp conversations, and responses pass to carriers through ClickPost APIs. It reports 10% RTO reduction, two-times customer response and an impact-card-only 5% increase in reattempts. The HTML title says 30% RTO reduction while H1/body say 10%.

    company · accessed 2026-07-13
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