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Zyberon AI: An AI Operating System That Runs Shopify Stores on Autopilot
Bitontree designed and built Zyberon AI, a full-stack e-commerce automation SaaS platform for Shopify sellers. Nine integrated AI modules handle customer support, product pages, Meta ad campaigns, social scheduling, profit analytics, product validation, ad creatives, social replies, and strategic insights from one dashboard, connecting Shopify, Meta, email, Stripe, Slack, and analytics into a single operating layer.
Team:
AI engineers + full-stack engineers + automation specialist + Project Manager
Location:
Netherlands
Project Type:AI SaaS Platform
Duration:6 months
Team:AI engineers + full-stack engineers + automation specialist + Project Manager
About the Client
Zyberon AI is an AI-powered SaaS platform built for Shopify sellers, e-commerce operators, and digital entrepreneurs who want to automate day-to-day store operations from a single workspace. Based in the Netherlands and serving Shopify sellers worldwide, the company wanted a full-stack product that lets sellers manage support, product pages, Meta ads, social content, profitability, product validation, and customer engagement without hiring a large operations team.
Zyberon AI needed a single platform that could automate the operational work behind running and scaling a Shopify store, helping sellers move faster across support, creative production, campaign setup, social posting, product page creation, profit tracking, product validation, and social engagement, with automation kept under control through confidence thresholds, review queues, and draft modes.
The Challenge
Shopify sellers often run their stores through disconnected tools, manual processes, and specialist contractors. Support lives in inboxes and DMs, creative production depends on designers and copywriters, campaign setup requires Ads Manager expertise, product pages need conversion copy, and profit analysis hides in spreadsheets. Zyberon AI needed more than a set of AI tools; it needed a connected operations platform.
One Platform Across Many Workflows
Building a single platform that could support multiple e-commerce workflows, from support to ads to profit analysis, without feeling fragmented, while keeping it usable by non-technical sellers who configure and run it independently.
Automation With Human Control
Automating customer support while keeping enough control for sensitive or low-confidence responses, and creating Meta campaigns through the API while holding them paused for review before launch.
Brand-Consistent AI Content at Volume
Generating product pages, ad copy, and ad creatives that matched each store's brand voice, and handling high-volume image generation with async jobs, progress visibility, and storage management.
Accurate Cross-Platform Profit
Reconciling Shopify orders, Meta ad spend, COGS, refunds, taxes, and fees into accurate profit views that go beyond raw Shopify revenue.
Secure Multi-Tenant Integrations
Supporting secure multi-tenant access to Shopify, Meta, email, and payment credentials, and managing Meta webhook verification, API limits, publishing rules, and content compliance.
What Was at Stake
Without a connected platform, Zyberon AI's sellers would stay stuck in the operating model the product set out to replace: support split across inboxes and DMs, creative work waiting on designers and contractors, campaigns built by hand in Ads Manager, social posting done manually, and real profit guessed at in spreadsheets that ignore COGS, fees, refunds, and taxes. Sellers would keep paying for specialist help and losing hours to operational busywork instead of growing the store. Getting automation wrong carried its own cost: an over-eager support bot answering sensitive messages, ad campaigns going live before review, or moderation hiding ordinary comments would erode seller trust fast. The platform had to move work off the seller's plate while leaving a human in control of anything high-stakes.
Our Approach and What We Built
Bitontree operated as an embedded engineering team for Zyberon AI, designing and developing the platform as a full-stack SaaS product with nine integrated AI automation modules. We built the system around Shopify, Meta, email, Stripe, Supabase, n8n, and Google Gemini so store data, customer messages, product content, advertising workflows, and financial reporting work together from one dashboard. The frontend uses Next.js 15, React 19, TypeScript, and Tailwind CSS with Radix UI and ShadCN; Supabase PostgreSQL with Row-Level Security handles multi-tenant data, Supabase Vault secures credentials, and Stripe powers subscriptions. Gemini drives text generation, vision analysis, and function calling, while Nano Banana handles image generation, n8n workflows and CRON schedules run recurring tasks, and Meta Graph and Marketing APIs power social and ads. This work sits at the center of our AI automation development practice for e-commerce operations teams.
How We Built It
AI Customer Support
A multi-channel support system that handles email and social DMs. Messages arrive through IMAP polling or Meta webhooks and are normalized into a standard schema, then Gemini classifies each by intent, sentiment, and extracted details like order numbers and product names. For order-related queries, the system looks up Shopify order data and generates branded HTML replies. A confidence threshold controls automation: high-confidence replies send automatically, mid-confidence replies move to a virtual assistant review queue, and low-confidence messages are escalated. The module also includes return management for defective and non-defective returns, return-window checks, approval routing, status tracking, and audit history.
AI Page Builder
An AI-powered Shopify product page generator that turns product or competitor URLs into optimized pages. The system scrapes product data such as title, description, price, variants, images, colors, and sizes. Gemini generates product titles, SEO meta descriptions, and conversion-focused copy in the seller's brand voice, while Nano Banana produces lifestyle images, detail shots, and variant images. The final payload is stored, organized, and published to Shopify as a draft or active product through the Shopify Admin API.
AI Meta Ads Generator
A campaign creation module that generates Meta ad campaigns from Shopify product URLs. Users configure targeting, countries, budgets, ad set count, ads per ad set, image source, and optional reference imagery. Gemini analyzes the product and any reference image, then generates Meta-compliant primary text, headlines, and descriptions. Nano Banana generates ad image variants, assets are stored in Supabase, and the Meta Marketing API creates campaigns, ad sets, and ads in paused status so users can review before launch.
AI Social Media Scheduler
A Facebook and Instagram scheduling system for AI-generated or manually uploaded content. Users create scheduled posts with platform, publish mode, image source, caption, product URL, and publish time. An n8n workflow checks scheduled posts every minute and publishes eligible content through the Meta Graph API. The system can generate captions and lifestyle images, publish to both platforms, and display scheduled, published, failed, and draft posts in a visual calendar, including the ability to schedule 30 days of social content automatically.
AI Profit Calculator
A profit analytics module that calculates true profit for Shopify sellers. Users configure transaction fees, card fees, tax rates, base currency, timezone, COGS, and account integrations. Scheduled workflows sync Shopify orders, refunds, discounts, and Meta ad spend, then calculate profit after COGS, ad spend, transaction fees, card fees, refunds, and taxes. The dashboard provides monthly performance, yearly analytics, product sales insights, and editable daily profit records for manual adjustments.
Product Validator
An automated product monitoring system that flags products when sales cross configurable thresholds. An n8n workflow fetches Shopify orders, groups sales by product, compares volume against the user's validation threshold, and triggers Slack notifications when a product needs review. The module can optionally auto-draft products in Shopify until the seller approves them, with COGS-aware threshold logic for high-risk products.
AI Ad Maker
A high-volume ad creative generator that produces up to 50 image-based creatives per product. Users can provide a Shopify URL or enter product details manually, and choose between two creative strategies: Inspired Ads, which analyze competitor creative references and generate visuals in the detected style, and Deep Research, which creates new advertising angles and visual concepts from the product details. Generated creatives are stored with metadata, and async job processing provides real-time progress updates through WebSocket notifications.
AI Smart Reply
A context-aware DM and comment reply system for Facebook and Instagram. Meta webhooks send DMs and comments to a verified n8n endpoint, the system maps each interaction to the correct user and loads brand settings, moderation rules, and encrypted Meta credentials, then uses Gemini as an AI agent with tool calling. For DMs, the agent can generate support replies or refer users to support email. For comments, it can validate moderation keywords, hide abusive comments, reply publicly, or save draft replies. Contextual moderation reduces false positives by checking whether flagged words are actually abusive or simply comparative.
AI Strategic Agent
A strategic business intelligence module that generates reports and insights from store data, market positioning, and competitive signals, giving sellers a clearer view of brand performance, growth opportunities, product positioning, and next actions.
The Results
Bitontree delivered a full-stack AI automation SaaS platform that helps Shopify sellers run core e-commerce operations from a single dashboard.
90%+
Routine support tickets handled automatically
50
Ad creatives per product generated in minutes
30 days
Of social content scheduled automatically
9
Integrated AI modules in one operating layer
Disconnected Shopify Tooling vs Zyberon AI
| Workflow | Disconnected Shopify Tooling | Zyberon AI |
|---|---|---|
| Customer support | Handled across inboxes and DMs, often with virtual assistants reading every message | Gemini classifies each message by intent and routes by confidence: auto-send, VA review queue, or escalation |
| Creative production | Depends on designers and contractors for each product's images and copy | Nano Banana generates lifestyle, detail, and variant images plus multiple creatives per product |
| Ad campaign setup | Built by hand in Meta Ads Manager, which needs campaign expertise | Campaigns, ad sets, and ads created through the Meta Marketing API in paused status for review |
| Social posting | Posted manually to Facebook and Instagram, one update at a time | An n8n workflow checks the schedule every minute and publishes eligible posts to both platforms |
| Profit tracking | Estimated in spreadsheets that often miss COGS, fees, refunds, and taxes | Reconciled true profit calculated after COGS, ad spend, transaction and card fees, refunds, and taxes |
| Product validation | Checked manually, so a winning or failing product is spotted late | Threshold-triggered alerts to Slack, with optional auto-draft until the seller approves |
Technologies Used
Zyberon AI was built around a production SaaS stack chosen for multi-tenant data, AI generation, and reliable integration with the platforms Shopify sellers already run on.
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Frequently Asked Questions
What is Zyberon AI?
Zyberon AI is an AI-powered SaaS platform for Shopify sellers, built by Bitontree, that automates day-to-day store operations from a single workspace. It uses nine integrated AI modules to handle customer support, product pages, Meta ad campaigns, social scheduling, profit analytics, product validation, ad creatives, social replies, and strategic insights.
How does the platform automate customer support?
Incoming email and social DMs are normalized into a standard schema, then Google Gemini classifies each message by intent, sentiment, and details like order numbers and product names. A three-tier confidence system controls automation: high-confidence replies send automatically, mid-confidence replies move to a review queue, and low-confidence cases are escalated. In production, over 90% of routine tickets are handled without human intervention.
How does Zyberon AI keep AI automation under control?
Automation is paired with human oversight throughout. Support uses confidence thresholds and review queues, Meta campaigns are created in paused status for review before launch, product pages can publish as drafts, and the Product Validator can auto-draft products until a seller approves them. This keeps sellers in control of sensitive or high-stakes actions.
What technologies power Zyberon AI?
The platform is built on Next.js 15, React 19, and TypeScript with Tailwind CSS on the frontend, Supabase PostgreSQL with Row-Level Security and Supabase Vault for data and credentials, and Stripe for subscriptions. Google Gemini drives text generation, vision analysis, and function calling, Nano Banana handles image generation, and n8n workflows orchestrate recurring tasks across Shopify, Meta, email, and Slack.
Can Bitontree build a similar AI automation platform for my business?
Yes. Bitontree builds full-stack AI automation SaaS products that connect your existing systems and operations into a single platform. Tell us about the workflows you want to automate and the tools you need to integrate, and we will scope the highest-impact AI opportunities for your product.
What are the nine AI modules in Zyberon AI?
Zyberon AI runs nine integrated modules from one dashboard: AI Customer Support for email and social DMs, AI Page Builder for Shopify product pages, AI Meta Ads Generator for campaign creation, AI Social Media Scheduler for Facebook and Instagram, AI Profit Calculator for true-profit analytics, Product Validator for sales-threshold monitoring, AI Ad Maker for high-volume ad creatives, AI Smart Reply for DM and comment handling, and AI Strategic Agent for business intelligence and reporting.
How does the true-profit calculation work?
The AI Profit Calculator goes beyond raw Shopify revenue. Sellers configure transaction fees, card fees, tax rates, base currency, timezone, and COGS, then scheduled workflows sync Shopify orders, refunds, and discounts alongside Meta ad spend. The module calculates profit after COGS, ad spend, transaction fees, card fees, refunds, and taxes, and surfaces it through monthly performance, yearly analytics, and product sales views, with editable daily records for manual adjustments.
How does AI Smart Reply moderate comments without false positives?
AI Smart Reply receives DMs and comments through Meta webhooks at a verified n8n endpoint, maps each interaction to the right seller, and loads that store's brand settings, moderation rules, and encrypted Meta credentials. Gemini then acts as an agent with tool calling. For comments it can validate moderation keywords, hide abusive ones, reply publicly, or save a draft. The key step is contextual moderation: the agent checks whether a flagged word is genuinely abusive or simply comparative, which keeps ordinary comments from being hidden by mistake.