Revenue Agent - Kodif
The context behind every recommendation.
The Revenue Agent is trained on your catalog, your reviews, and your tone — then plugs into the commerce and growth stack you already run to recommend, add to cart, and attribute every sale.
Why it matters
The question before the cart is where revenue is won.
"Will this fit?" "Which one's right for me?" "Is it worth it?" Every unanswered pre-sale question is an abandoned cart. The Revenue Agent answers it — and recommends what actually fits, leading to higher conversion and happier customers.
Match by fit + review sentiment.
Trained on your catalog and your reviews, the agent recommends the product that genuinely fits — using what real customers said about sizing, quality, and use, not just a keyword match.
Apply dynamic discount rules.
Offer the right incentive at the right moment — bundle pricing, first-order offers, threshold nudges — driven by your rules, written in plain English. No blanket codes leaking margin.
Track assisted revenue.
Every recommendation, add-to-cart, and checkout is attributed back to the agent. You see exactly how much revenue the conversation drove — not a vanity engagement metric.
Revenue scorecard
Every assisted session is structured data — the question, the recommendation, the add-to-cart, the checkout. You get the revenue numbers, not just chat transcripts.
Watch assisted conversion climb.
Conversion compounds as the agent learns which recommendations win which shoppers. Last month's lift becomes next month's baseline.
What blocks the cart.
The real pre-sale questions, captured and ranked — so merchandising and PDPs can fix the friction upstream.
- Sizing & fit
- Which product is right
- Ingredients / materials
- Price / is it worth it
Which recommendation wins.
| SHOPPER QUESTION | AGENT MOVE | CONVERTS |
|---|---|---|
| Sizing & fit | Fit match + reviews | 0% |
| Which is right | Guided compare | 0% |
| Gift / unsure | Bundle + threshold | 0% |
| Price hesitation | Dynamic discount | 0% |
Assisted revenue, attributed
The order value of every sale the agent assisted, logged. Your weekly digest shows the running total against last month.
From question to checkout.
Shopper asks
- On the PDP, in chat, over SMS — a real pre-sale question that's blocking the cart.
Understands intent
- Reads what they actually need — trained on your catalog, your reviews, your tone.
Matches by fit
- Recommends what actually fits, using review sentiment — not just a keyword match.
Adds to cart
- Drops the right product in the cart and applies dynamic discount rules when they help.
Tracks conversion
- Attributes the order back to the conversation. Assisted revenue, logged and learned from.
Run the math
How much revenue is sitting in unanswered questions?
- Monthly pre-sale conversations: 8,000
- Average order value: $90
- Current assisted conversion: 9% (Conservative)
Set up
Big impact, small lift on your end.
Setup happens mostly on our side. We ingest your catalog, reviews, and tone, wire your stack, and partner with you on the playbook. Your team reviews and approves before anything goes live.
- Training - We ingest your catalog & reviews.
- Playbook - We write the rules with you.
- Launch - You approve, it sells.
What CX teams ask before they book.
- How is this different from a support chatbot?
- What can it actually do on its own?
- Can it handle complex tickets — and images or video?
- What does it integrate with?
- Can my CX team change how it behaves?
- How do I trust what it did?
- How is it priced?
Get in touch
Answer the question. Win the sale.
Book a demo now. We'll run the Revenue Agent on a sample of your real pre-sale conversations and show you the assisted revenue it would have driven.