Ezily provides an AI‑driven platform that unifies data from all e‑commerce, advertising, and logistics channels into a single, continuously updated source of truth.
Funding
Funding not disclosed
Founders
Product
Problem
E‑commerce businesses often operate across multiple storefronts, marketplaces, advertising platforms, and logistics systems, resulting in fragmented data and time‑consuming manual processes for marketing, audience segmentation, and supply‑chain management.
Solution
Ezily offers an AI‑driven platform that consolidates data from all sales and operational channels into a single, continuously updated source of truth. The system applies machine‑learning models to identify patterns, generate forecasts, and recommend next‑best actions for marketing campaigns, audience targeting, and inventory planning. These recommendations are executed automatically through self‑running workflows, providing round‑the‑clock optimization without human intervention. By “connect once, sync everywhere,” the platform replaces the effort of an entire operations team with autonomous growth loops that learn and improve over time. Users can monitor performance and adjust strategies via a unified dashboard that reflects real‑time insights across the whole commerce stack.
Target Audience
Ezily is aimed at direct‑to‑consumer brands and e‑commerce merchants that sell across multiple online and offline channels and need automated, data‑driven operations.
Features
- Live data ingestion from storefronts, marketplaces, ad networks, point‑of‑sale, and logistics providers into a unified view
- AI models that surface demand patterns, sales forecasts, and optimal marketing or inventory actions
- Autonomous workflow engine that executes recommended actions across channels without manual setup
- Continuous feedback loop that retrains models on new data, compounding performance improvements
- Cross‑channel synchronization ensuring consistent product, pricing, and inventory information everywhere
- Centralized dashboard for real‑time monitoring, reporting, and manual overrides when needed