Most e-commerce "chatbots" are just decision trees with a skin. Press 1 for shipping. Press 2 for returns. The customer types "does the XL run big?" and gets "Sorry, I didn't understand that. Let me connect you with an agent."

Meanwhile, that customer already left.

The problem isn't automation. The problem is that these bots can't actually DO anything. They can't check your live inventory. They can't calculate sizing based on the customer's measurements. They can't pull up order status or dynamically recommend products.

They're glorified FAQ pages pretending to be intelligent.

What you need instead: an AI agent

An AI agent is different. It doesn't follow a script — it reasons. It has tools. It can:

→ Check live Shopify inventory before answering "is this in stock?"

→ Calculate sizing using your actual product measurements + customer input

→ Pull order status from your fulfillment system in real time

→ Recommend products based on browsing history and conversation context

→ Handle objections like "is this worth the price?" with actual product knowledge

→ Upsell intelligently — not "you might also like" spam, but contextual recommendations

The tech behind it

I build these agents using Python, LangChain, and FastAPI, backed by Supabase for conversation memory and product data. The agent connects to your Shopify store via API, pulls real-time data, and responds in your brand voice.

It works on Instagram DMs, WhatsApp, and your website — simultaneously. 24/7.

The result

Brands running NOCTIS AI agents see:

• 100% DM response rate (vs. the industry average of ~33%)

• <30 second response time (vs. 6+ hours)

• Recovered revenue from conversations that would've been lost

If your current "chatbot" is just a fancy FAQ page, it's time to upgrade.

→ Build it yourself: The Blueprint ($49)

→ Let me run it for you: Plug & Play (7-day free trial)

→ Want it fully custom: Custom Build ($497 launch price)

I'm opening up NOCTIS AI at launch pricing. Here's what's available right now:

🔧 The Blueprint — $49 (one-time)

Full Python/LangChain source code, FastAPI & Supabase setup guide, prompt templates, and system instructions. Everything you need to build your own AI commerce agent from scratch. For developers and technical founders who want to own the stack.

⚡ Plug & Play — 7-day free trial → $97/mo

I host and manage the AI agent for you. Upload your sizing PDFs, connect your Shopify API key, go live. You get a dashboard to view chat transcripts, missed sales, and upsell performance. No code required. Cancel anytime.

🏗️ Custom Build — $497 (normally $999)

A fully bespoke AI agent trained on your exact brand voice. Integrated into your Instagram DMs, WhatsApp, and website. White-glove setup with ongoing optimization. Limited to 5 spots at this price.

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Who this is for:

E-commerce brands doing $5K-$100K/month who are tired of losing DM sales, paying for VAs who can't scale, and watching ad spend go to waste because nobody's converting the traffic at midnight.

Who this is NOT for:

People looking for a basic FAQ bot. This is an autonomous sales agent that checks inventory, recommends sizes, handles objections, and closes.

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These prices go up after the first 5 clients. I'm building case studies and want to over-deliver.

DM me or grab access above. Let's build. 🚀

Let me show you exactly what happens when someone DMs a brand running one of my AI agents.

2:07 AM — Customer sends: "Hey, I'm 5'10 180lbs, would the oversized hoodie in L fit me or should I go XL?"

What a normal chatbot does: "Thanks for reaching out! Our team will get back to you during business hours." Customer leaves. Sale gone.

What my agent does (in under 8 seconds):

1. Pulls the product's size chart from your Shopify store

2. Cross-references the customer's measurements against fit data

3. Checks live inventory for both L and XL

4. Responds: "Based on your measurements, the L will give you that oversized fit you're looking for. It's in stock and ready to ship. Want me to send you the direct link?"

2:07 AM — Customer replies: "Yeah send it"

Agent: Sends checkout link. Sale closed.

No VA needed. No "we'll get back to you." No lost revenue.

The agent handles sizing, inventory checks, order tracking, returns policy, and upsells — all autonomously. It's trained on YOUR brand voice, YOUR products, YOUR policies.

This is what I build at NOCTIS AI.

→ Want it done for you? Check out Plug & Play (free 7-day trial)

→ Want to build it yourself? Grab The Blueprint ($49)

→ Need a fully custom agent? DM me about Custom Build

Here's what I see every time I audit an e-commerce brand's DMs:

→ 40-60 unanswered Instagram DMs per week

→ "Do you have this in a size M?" — no reply for 3 days

→ "Is this still in stock?" — seen, never answered

→ Cart questions at 11pm on a Friday — nobody home

Each one of those is a $50-$200 sale walking out the door. Multiply that across a month and you're bleeding $3K-$8K in revenue you already paid to acquire.

The fix isn't "hire more VAs." The fix is an AI agent that:

• Replies in <30 seconds, 24/7

• Checks your live Shopify inventory before answering

• Gives sizing recommendations based on actual product data

• Upsells complementary items based on what they're looking at

This isn't a chatbot that says "let me connect you with a team member." This is an agent that actually closes the sale.

I built this system. It runs on Python, LangChain, and FastAPI. It plugs into your Instagram, WhatsApp, and website.

If you want to see how it works for your brand → check out Plug & Play (7-day free trial, no risk) or grab The Blueprint and build it yourself.

Stop paying for traffic you can't convert.

Most e-commerce "chatbots" are just decision trees with a skin. Press 1 for shipping. Press 2 for returns. The customer types "does the XL run big?" and gets "Sorry, I didn't understand that. Let me connect you with an agent."

Meanwhile, that customer already left.

The problem isn't automation. The problem is that these bots can't actually DO anything. They can't check your live inventory. They can't calculate sizing based on the customer's measurements. They can't pull up order status or dynamically recommend products based on cart data.

What you actually need is an agentic system — one that executes functions, not just maps keywords to canned responses.

Here's the architecture that works:

1. RAG for brand knowledge — Ingest your exact sizing charts, fabric specs, care instructions, and brand voice. The agent retrieves this data contextually instead of hallucinating generic answers.

2. Function calling for live data — The agent makes real-time API calls to check inventory, calculate shipping estimates, and generate checkout links on the fly.

3. Autonomous upselling — When the agent confirms a purchase intent, it cross-references the cart with your catalog and makes intelligent pairing suggestions.

The result: a system that handles 80%+ of customer inquiries without human intervention, converts at 2-3x the rate of traditional support, and works at 3 AM in every timezone.

I packaged this exact system into a product. Source code, hosted solution, and custom builds available.

Most e-commerce "chatbots" are just decision trees with a skin. Press 1 for shipping. Press 2 for returns. The customer types "does the XL run big?" and gets "Sorry, I didn't understand that. Let me connect you with an agent."

Meanwhile, that customer already left.

The problem isn't automation. The problem is that these bots can't actually DO anything. They can't check your live inventory. They can't calculate sizing based on the customer's measurements. They can't pull up order status or dynamically recommend products based on cart data.

What you actually need is an agentic system — one that executes functions, not just maps keywords to canned responses.

Here's the architecture that works:

1. RAG for brand knowledge — Ingest your exact sizing charts, fabric specs, care instructions, and brand voice. The agent retrieves this data contextually instead of hallucinating generic answers.

2. Function calling for live data — The agent makes real-time API calls to check inventory, calculate shipping estimates, and generate checkout links on the fly.

3. Autonomous upselling — When the agent confirms a purchase intent, it cross-references the cart with your catalog and makes intelligent pairing suggestions.

The result: a system that handles 80%+ of customer inquiries without human intervention, converts at 2-3x the rate of traditional support, and works at 3 AM in every timezone.

I packaged this exact system into a product. Source code, hosted solution, and custom builds available.