One context layer, serving the entire enterprise.
The same context layer that reads every actor's Digital Body Language serves your customers and every team below, at once. Not nine separate tools, one shared layer, used nine different ways.
Website / Product
Digital Marketing
Omnichannel
Analytics
CRM
AI Clienteling
AI Support
Risk & Fraud
AI & Data
Agentic Commerce
CONTEXT LAYER
Conversational AI, Support
Every return and chargeback started as a decision made without enough support.
An actor who's still debating between two products is exactly the actor most likely to order the wrong one, and return it.
Same anonymous majority every team on this page shares: 96% of sessions never produce an identity
Catch hesitation before checkout
Not after the return request comes in.
Offer the right kind of help
Context-aware support, not a generic pop-up.
Reduce returns at the source
Help the decision, not just the transaction.
Every return and chargeback started as a decision made without enough support.
Kahoona turns support from reactive to proactive - catching hesitation before checkout.
Checkout
Leather Tote • Midnight
In cart • Ready to ship
$245
Hesitation Detected
Cursor hovering on CTA • No click for 8s
Confidence
High
Support
Proactive
Need help deciding? Reserve in-store or chat with support.
Reserve
Chat
Hesitating Shopper
Signals stitched into a single profile
1 profile • 3 signals
Cart Save Rate
34%
Proactive support interventions
Return Prevention
$2.1M
Net-new savings
Avg Resolution
12s
Faster than reactive baseline
01
Catch hesitation before checkout
Not after the return request comes in. Intervene at the moment of doubt.
02
Offer the right kind of help
Context-aware support, not a generic pop-up. The actor's Digital Body Language tells you what kind.
03
Reduce returns at the source
Help the decision, not just the transaction. Fewer wrong orders, fewer returns.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York
One context layer, serving the entire enterprise.
The same context layer that reads every actor's Digital Body Language serves your customers and every team below, at once. Not nine separate tools, one shared layer, used nine different ways.
Analytics
CRM
AI Clienteling
AI Support
Risk & Fraud
AI & Data
Agentic Commerce
Website / Product
Digital Marketing
Omnichannel
CONTEXT LAYER
By Team
Conversational AI, Support
Every return and chargeback started as a decision made without enough support.
An actor who's still debating between two products is exactly the actor most likely to order the wrong one, and return it, or dispute the charge. Kahoona flags that hesitation while it's happening, so support can step in: a chat assist, a comparison widget, or a suggestion to book an in-store appointment, before the order ships, not after it comes back.
Same anonymous majority every team on this page shares: 96% of sessions never produce an identity
Catch hesitation before checkout
Not after the return request comes in.
Offer the right kind of help
Matched to the actor, not a generic prompt.
Fewer returns, fewer chargebacks
Every one avoided is money not lost twice.
Every return and chargeback started as a decision made without enough support.
Kahoona turns support from reactive to proactive - catching hesitation before checkout.
Checkout
Leather Tote • Midnight
In cart • Ready to ship
$245
Hesitation Detected
Cursor hovering on CTA • No click for 8s
Confidence
High
Support
Proactive
Need help deciding? Reserve in-store or chat with support.
Reserve
Chat
Hesitating Shopper
Signals stitched into a single profile
1 profile • 3 signals
Cart Save Rate
34%
Proactive support interventions
Return Prevention
$2.1M
Net-new savings
Avg Resolution
12s
Faster than reactive baseline
01
Catch hesitation before checkout
Not after the return request comes in.
02
Offer the right kind of help
Chat, a decision widget, or an in-store appointment, matched to the actor, not a generic prompt.
03
Fewer returns, fewer chargebacks
Every one avoided is money the business doesn't lose twice.
The missing primitive.Built.
Explore the Platform
The Context Generation Layer of the Agentic Web
© 2026 Kahoona Inc.
New York