iOmCart
The world's first fully autonomous AI-native e-commerce platform
An end-to-end AI-first e-commerce platform that doesn't just sell products — it autonomously optimises pricing, generates product descriptions, personalises the storefront per visitor, predicts inventory needs, automates customer support, and handles fulfilment logistics. The AI doesn't assist the store; the AI IS the store.
What's inside
A tour of the features that make iOmCMS unusual — every one is production-ready, documented, and live on this very site.
Autonomous Pricing Engine
AI continuously analyses competitor prices, demand curves, inventory velocity, and margin targets — then adjusts your prices in real time. Manual overrides always available; the AI just handles the 99% you don't have time for.
AI Product Copy & Image Generation
Upload a product photo → the AI generates SEO-optimised titles, bullet-point features, long descriptions in your brand voice, and lifestyle-context images. Supports 50+ languages out of the box.
Per-Visitor Storefront Personalisation
Every visitor sees a different homepage, different product order, different upsell — based on browsing history, location, time of day, and predicted intent. Conversion rates typically jump 30-60%.
Predictive Inventory Management
Demand forecasting down to SKU × warehouse × day. Automatic reorder-point alerts, supplier PO generation, and dead-stock identification before it becomes a write-off.
AI Customer Support Agent
Same knowledge-base-grounded agent architecture as iOmCMS — but tuned for e-commerce: order tracking, return initiation, product Q&A, and human escalation when needed. Resolves 70%+ of tickets autonomously.
Instant Delivery Orchestration
Multi-carrier rate shopping, label generation, real-time tracking, and delivery-promise optimisation. Integrates with 50+ carriers globally. For hyper-local: built-in rider dispatch with route optimisation.
Fraud Detection & Prevention
ML-based fraud scoring on every transaction. Analyses device fingerprint, velocity patterns, address anomalies, and payment behaviour — blocks obvious fraud while minimising false declines.
Multi-Storefront, Multi-Currency, Multi-Language
One admin panel → many storefronts, each with its own domain, currency, language, product catalog subset, and pricing rules. Share inventory across storefronts or partition by region.
AI Analytics & Insights
Natural-language analytics: ask 'what was my best-selling category last Tuesday in the UK?' and get an instant answer with a chart. No SQL, no dashboard builder — just ask.
Plugin Marketplace
Extensible via plugins: loyalty programs, subscription boxes, gift cards, affiliate tracking, B2B quoting, auction mode, flash sales — install with one click, configure from the admin.
Why 'AI-native' matters
Traditional e-commerce platforms bolt AI on as a third-party integration — a recommendation widget here, a chatbot there. iOmCart was designed from the data model up with AI as a first-class citizen. Every entity (product, order, customer, inventory) carries an AI-readable context envelope that agents use to make autonomous decisions. The result: the platform gets smarter with every transaction, not just bigger.
The 12 autonomous agents
Each agent owns a domain and operates 24/7:
- Pricing Agent — dynamic price optimisation
- Copywriter Agent — product descriptions + SEO
- Stylist Agent — per-visitor storefront personalisation
- Demand Agent — inventory forecasting + reorder
- Support Agent — customer tickets + returns
- Logistics Agent — carrier selection + route planning
- Fraud Agent — real-time transaction scoring
- Marketing Agent — email campaigns + ad copy
- Review Agent — sentiment analysis + response drafts
- Search Agent — semantic product search + autocomplete
- Translation Agent — multi-language content sync
- Analytics Agent — natural-language business intelligence
Built for scale
Go-based backend for microsecond-level API responses. PostgreSQL + Redis for durable + fast data access. gRPC between services for low-latency inter-service calls. GraphQL for the storefront. Next.js 15 for the admin + customer-facing frontend. Kubernetes-native with auto-scaling. Designed for 10M+ SKUs and thousands of concurrent checkouts — but runs just as well for a 50-product boutique.
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