hedlyte
Hedlyte is an e-commerce analytics platform that identifies the specific reasons shoppers abandon their carts, quantifies the monthly revenue impact, and recommends a single actionable fix. It works across Shopify, WooCommerce, BigCommerce, and custom headless stores via a small code snippet, using AI-driven shopper simulations to uncover hidden checkout leaks like surprise shipping costs or broken size selectors.
- Data & Analytics
- Retail Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
E-commerce businesses invest heavily in driving traffic, yet two in three visitors leave without buying. Standard analytics tools show where shoppers drop off in the funnel but never explain why, leaving merchants blind to the underlying causes of cart abandonment and unable to make informed decisions to recover lost revenue.
Solution
Hedlyte provides an analytics platform that pinpoints the exact reasons behind shopper abandonment, quantifies the monthly revenue loss, and recommends a single, prioritized change to recover it. The platform integrates via a small snippet and works with Shopify, WooCommerce, BigCommerce, and custom headless stores. It analyzes real shopper behavior to surface hidden checkout leaks—such as surprise shipping costs appearing at the final step or unresponsive size selectors—and delivers evidence-backed findings with specific, actionable recommendations. Hedlyte also offers an AI shopper simulation that visits a store in a real browser, identifies what stops the purchase, and ranks the issues by their financial impact.
Target Audience
Primary customers are e-commerce merchants and store operators using Shopify, WooCommerce, BigCommerce, or custom headless platforms who need to understand and reduce cart abandonment and recover lost revenue.
Features
- AI-driven shopper simulation that tests a store's checkout flow in a real browser and identifies friction points
- Revenue-loss quantification per abandonment cause, e.g., "$4,200/mo lost at checkout" from phone shoppers
- Specific, prioritized recommendations, such as "Show the shipping cost on the product page" or "Offer the nearest size and back-in-stock inline"
- Cross-platform support for Shopify, WooCommerce, BigCommerce, and custom/headless stores via a single snippet
- Evidence-based findings derived from real session data, with the ability to "see the evidence" behind each recommendation
- Continuous leak detection that automatically hunts for the next issue after a fix is implemented