Torina provides analytics that link e‑commerce AI agent interactions to concrete business outcomes such as revenue, conversion rates, average order value and customer acquisition cost. By integrating with platforms like Shopify, Meta, GA4 and others, it measures each agent’s impact, flags missed sales or broken workflows, and offers specific prompt or routing recommendations. The service also delivers a scorecard comparing agents to company goals and industry baselines, helping teams optimize AI performance.
Funding
Funding not disclosed
Founders
Product
Problem
E‑commerce businesses deploy AI chat agents to assist shoppers, but they lack visibility into how those interactions affect key metrics such as revenue, conversion rates, average order value, and customer acquisition cost. Without linking agent conversations to business outcomes, teams cannot identify missed sales opportunities or inefficient workflows.
Solution
Torina provides an analytics layer that connects AI agent conversation data with e‑commerce platforms like Shopify, Meta, and Google Analytics 4. By correlating each interaction with revenue, conversion, leads, AOV, CAC, and engagement signals, Torina quantifies the financial impact of every agent. The platform automatically detects lost conversions and broken workflows, then suggests specific prompt, routing, product data, or workflow adjustments to recover missed sales. Each agent receives a scorecard that benchmarks its performance against company goals and industry baselines, enabling product and marketing teams to prioritize improvements. Integration requires only a small code snippet or a one‑click connection to supported agent hosting platforms, allowing rapid deployment.
Target Audience
Torina is aimed at e‑commerce operators, growth and product teams, and digital marketers who manage AI chat agents and need data‑driven insight into their impact on sales and customer acquisition.
Features
- Direct integration with Shopify, Meta, GA4, Klaviyo, Stripe, Segment and other data sources to enrich agent traces with transaction and customer data
- Real‑time correlation of agent conversations to revenue, conversion, average order value, CAC and retention metrics
- Automated detection of missed sales opportunities and broken workflows with actionable recommendation prompts
- Agent Scorecard that benchmarks performance against custom goals and industry averages
- Simple SDK snippet or one‑click native integration for popular agent platforms such as Rep AI and Decagon
- Dashboard view of business impact per agent, supporting prioritization of optimization efforts