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AI CHATBOT FOR ECOMMERCE

Ecommerce Is a Margin Game.
This Bot Protects Margins.

Most “AI chatbots” reduce support load.
This one operates like revenue infrastructure — closing hesitant buyers, enforcing policy without friction, and scaling decision-making without scaling payroll.

The Real Problem No One Talks About

Ecommerce doesn’t fail because of traffic.
It fails because *decision moments* are unmanaged.

Hesitation Costs Money

Buyers pause. No response arrives. Revenue evaporates.

Humans Don’t Scale

Headcount grows linearly. Conversations don’t.

Refund Abuse Is Real

Weak enforcement quietly destroys margins.

Chatbots Are Cowards

They answer questions — they don’t make decisions.

This Is Not Customer Support Automation

Think of this system as a junior revenue operator — trained on your policies, incentives, and risk tolerance.

Decision-Oriented

Every response has intent: close, delay, upsell, deny, or escalate.

Policy-Enforced

Refunds, returns, discounts — applied consistently, without emotion.

Economically Aware

Escalates to humans only when value exceeds cost.

What Real Intelligence Looks Like

Below is a typical high-risk moment — where most stores lose money.

I’m not sure this is worth the price.
That’s fair. Most customers compare price first.
What they keep is the 18-month lifespan — cheaper alternatives average 6.
What if I return it?
You can — within 30 days.
Fewer than 4% do, mostly due to sizing mistakes I can help avoid now.

Try to Exploit It

Customers test boundaries. This system is built for that.

“I want a refund after 45 days”
“Your competitor is cheaper”
“Give me a discount or I leave”

Pricing Based on Economic Reality

Charging per message rewards noise.
We price based on **influence over revenue**.

₹0

For conversations that don’t change outcomes

Aligned

We earn only when conversion probability improves

Scalable

Volume grows without support payroll growth

A NOTE FROM THE FOUNDER

Why We Built This (And Why Most Chatbots Miss the Point)

I didn’t start building this because “AI is exciting”. I started because ecommerce teams are forced to choose between bleeding money or hiring endlessly.

Every store has policies. Every store has margins. But the moment a customer enters a live conversation, those rules quietly collapse. Discounts get handed out. Refunds get approved. Decisions get made emotionally — not economically.

Most chatbots didn’t fix this. They just automated politeness.

We built this system with a different assumption: every conversation is a financial decision. Some should end in a sale. Some should end in a firm “no”. Some should be escalated — but only when the value justifies the cost.

This is why the bot doesn’t try to sound human. Humans are inconsistent. This system is designed to be fair, calm, and economically honest at scale — even at 3 a.m., even during sale traffic, even when customers push boundaries.

If you believe support exists only to keep customers happy, this product will feel uncomfortable. If you believe support is part of your revenue engine, this will feel obvious.

We’re not interested in vanity metrics. We don’t celebrate “messages sent” or “engagement”. We care about conversion probability, margin protection, and whether your team sleeps better at night.

That’s the philosophy. Everything else — the models, the interface, the workflows — follows from it.

— Founder

Built by operators, not pitch decks.

This Is Not for Everyone

If you want a polite chatbot, buy one.
If you want margin protection, test this.

Deploy It on My Store