InsightX provides an AI‑driven platform that infers each shopper’s real‑time “now‑want” intent and automatically builds personalized product, outfit, and editorial “shelf” experiences on e‑commerce sites.
Funding
Funding not disclosed
Founders
Product
Problem
E‑commerce sites struggle to present each shopper with truly relevant product, coordination, and editorial content in real time, relying on static segmentation and manual content creation that cannot capture the individual’s immediate “now‑want” intent.
Solution
InsightX offers an AI‑driven platform that continuously infers each visitor’s real‑time purchase intent and automatically assembles personalized “shelf” experiences from existing product, outfit, and article assets. By feeding only product data via API and a single JavaScript tag, the system generates recommendation widgets, product shelves, staff‑curated shelves, article shelves, personalized email content, and custom landing‑page layouts without any manual segmentation. All personalized content is rendered on the site instantly, while a dedicated dashboard provides performance metrics such as impressions, click‑through rates, and conversion impact. The solution integrates with existing recommendation engines and can be extended to native apps through an optional API, enabling e‑commerce operators to boost conversion and reduce content‑creation overhead.
Target Audience
Primary customers are mid‑to‑large e‑commerce operators with extensive product catalogs—such as apparel, footwear, cosmetics, and home‑goods retailers—seeking automated, intent‑driven personalization across web and email channels.
Features
- Real‑time AI modeling of each shopper’s “now‑want” intent, stored in a dynamic intent database
- Automatic construction of multiple shelf types (product, staff, article) that combine recommendation, coordination, and editorial assets
- One‑line JavaScript tag for data collection and content rendering; no additional front‑end development required
- API‑based product data ingestion and optional native‑app support for cross‑channel personalization
- Email and landing‑page modules that embed AI‑generated shelves for repeat visits and campaign ROI
- Dashboard with granular performance analytics (IMP, CTR, CVR) per shelf and overall sales contribution
- Compatibility with existing recommendation engines, allowing seamless replacement or augmentation