ECOMMERCE AI ASSISTANT

The Ecommerce AI Assistant Built by One ML Engineer for Merchants Who Cannot Afford Enterprise Pricing

One engineer. Your catalogue. Deployed this week.

Cybergine was built by Eugene Zubanov, formerly an ML engineer at Expedia, Decathlon, and Product Madness. The assistant uses retrieval-augmented generation (RAG) on your product catalogue - it answers from your data, not from a generic AI. Works across WhatsApp Business and Shopify web chat from a single dashboard.

Start Your Free Trial

See the Demo

Under 3 seconds

Responses returned without waiting.

WhatsApp and web

One dashboard, all channels.

No developer required

Guided setup for non-technical merchants.

Performance

Under 3 seconds

Responses returned in under 3 seconds. Customers get answers without waiting for a human agent to come online.

Channels

WhatsApp and web

Works across WhatsApp Business and Shopify web chat from a single dashboard. One assistant, your whole catalogue, all channels.

Access

No developer required

Setup is guided. Most merchants go live without touching a line of code. Built for SMEs who do not have a technical team.

Answer, Recommend, Convert

Three capability pillars built on ML architecture, not a chatbot framework.

Product Knowledge via RAG

The assistant answers product questions from your catalogue via retrieval-augmented generation. It retrieves relevant product data and generates an answer from that data - not from a generic AI trained on the internet. It cannot hallucinate product specs it has not been given.

Compatibility Checking

Customers ask whether parts fit together, whether a product works with their existing setup. The assistant knows which products in your catalogue relate to which - and it asks the right clarifying questions to narrow down to the right answer.

Upsell and Cross-sell

When a customer selects a product, the assistant can surface relevant add-ons, accessories, and related items from your catalogue - naturally, in the flow of the conversation.

Built by an ML Engineer, Not a Product Team

I built this because enterprise vendors charge more per year than most small merchants earn per month - for systems that cannot hold a coherent product conversation. I spent years building product search at Expedia, Decathlon, and Product Madness - systems that handle millions of products and millions of queries. Cybergine is that architecture, sized for SMEs.

No investors means no pressure to extract maximum value from every renewal. No product team means I talk to merchants directly and ship fixes in days, not quarters. If you email me, I reply.

EZ

Eugene Zubanov

Founder, Cybergine

Works Where Your Customers Are

Cybergine runs as a WhatsApp Business chatbot and as a Shopify AI chatbot - both connected to your product catalogue, both managed from the same dashboard.

Customers who prefer WhatsApp get WhatsApp. Customers who browse your Shopify store get the web chat widget. The assistant knows your catalogue either way.

WhatsApp Business - cart recovery, product questions, order updates
Shopify web chat - product recommendations and compatibility checking
Single dashboard - all conversations, all assistants, one place

Common Questions

Does it work for my product category?

Yes - the assistant is trained on your catalogue via RAG, not on a predefined product category. Whether you sell bicycles, electrical parts, or fashion, the assistant learns from your product data.

How does it avoid hallucinating product information?

The assistant answers from your catalogue using retrieval-augmented generation (RAG). It retrieves actual product records and generates answers from that data. It cannot invent specs or prices that are not in your catalogue.

What does it cost?

Pricing is designed for SMEs - no enterprise contract required. Start a free trial to see the pricing that applies to your use case.

Ready to add an ecommerce AI assistant to your store?

Start your free trial. No developer required. Deployed this week.