GoNovus AIBook a demo
RESULTS

Sales results.
With the context.

Historical conversion, revenue and reactivation results from existing deployments. Each case has its own measurement scope.

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+6ptChat-to-sale conversion25.9%Dormant-customer reactivation−17ptSize-and-fit return rate
30+

consumer brands served in production

Live, paying deployments · pilots excluded
How it’s measured

Live, paying production deployments in the original reporting scope, excluding pilots. The original mix included apparel, beauty, home, and consumer packaged goods.

$20M+

AI-generated revenue, from conversations with no human turn

Historical six-month reporting window
How it’s measured

Revenue from conversations completed with no human turn. The original report used a trailing six-month window and excluded assisted conversations and post-escalation sales. This is a historical reported result, not a claim about the six months ending today or incremental revenue.

1M+

conversations handled end to end by AI

Historical six-month reporting window
How it’s measured

Conversations handled end-to-end by AI without escalation, in the original six-month reporting window. This measures existing deployments, not sessions in the website demonstration.

94%

of pre-sale messages handled without a human reply

Message level · 6% escalated to a human
How it’s measured

Pre-sale messages handled without a human reply, with 6% escalated to a human. This is a message-level measure, not an end-to-end conversation resolution rate.

2.75×
Closed revenue per seller-equivalent

A single-brand comparison over 12 months against the brand’s top human seller, with the same products and customers. Not an average across brands.

CUSTOMER STORIES

Three brands.
Three sales goals.

Anonymized historical deployments. Each story keeps its own measurement scope.

A shopper choosing a serum at her bathroom vanity
EXAMPLE CONVERSATION

I have dry, sensitive skin. Which serum should I start with?

The Hydrating Serum is fragrance-free and made for sensitive skin. Shall I open its page for you?

Yes, show me.

01 / Premium skincare · $25M brand revenue

More shopping conversations became purchases.

+6ptChat-to-sale conversion
Before12%
After18%
The customer’s work
A premium skincare brand brought GoNovus into its sales conversations. The deployment reported chat-to-sale conversion moving from 12% to 18%.
The reported result
The case covered work previously handled by four full-time agents. Reported annual net savings were $338K, alongside the sales result.

Anonymized historical deployment. New product configurations may differ. Photo and conversation are illustrative.

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A returning customer browsing knitwear on his phone at home
EXAMPLE CONVERSATION

Welcome back. The knit you looked at is available in your size again. Would you like to see the colours?

Yes, show me the colours.

02 / DTC fashion · $40M brand revenue

Re-engage inactive customers.

25.9%Dormant-customer reactivation
$1.4MRevenue · six months
10.3%Same-day conversion
The customer’s work
A DTC fashion brand used a GoNovus deployment to reconnect with dormant customers, with $1.4M in revenue reported over six months.
The reported result
The original case also reported an 8% dormant-flow response rate and a 10.3% same-day conversion rate. These describe different measures and are not a before-and-after pair.

Anonymized historical deployment. New product configurations may differ. Photo and conversation are illustrative.

Discuss a similar task
A shopper trying on a linen jacket and checking the fit
EXAMPLE CONVERSATION

I’m between M and L in this jacket.

This style has a relaxed fit. Customers who usually wear M say it fits well. Would you like to see the size guide?

03 / Global apparel · $500M+ brand revenue

A better fit. Fewer returns.

−17ptSize-and-fit return rate
Before35%
After18%
The customer’s work
A global apparel brand used sizing AI in its GoNovus deployment. The related return rate moved from 35% to 18%.
The reported result
A reduction of 17 percentage points in the reported size-and-fit return rate, not a 17% relative reduction, with $4.2M in annual savings reported in the original case.

Anonymized historical deployment. New product configurations may differ. Photo and conversation are illustrative.

Discuss a similar task
DEPLOYMENT STAGES

Progress, in context.

Historical independent-completion performance across deployment stages.

  1. AT THE START60–70%
  2. BY WEEK EIGHT80%+
  3. MATURE DEPLOYMENTS92–95%

Stage-level historical figures, not a continuous time series or a guarantee for a new deployment.

YOUR NEXT STEP

Define your sales goal.

Historical results give context. Your evaluation establishes what works for your task.

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