Trivas

Name: Trivas Introduction Video
Uploaded: 2026-03-12T16:42:03Z
Duration: 1 min 33 s
Description: "Trivas: AI-driven e-commerce analytics for smarter, unified business decisions."

Trivas

Develop by Shopify

Free plan available

"Trivas: AI-driven e-commerce analytics for smarter, unified business decisions."

Performance tracking

Campaign analysis

Custom dashboards

Sales forecasting

Ai-driven insights

Unified analytics hub

Natural data interaction

About Trivas

Launched Mar 10, 2026

Built by Shopify

Address

15 Monte Vista Rd, Orinda, CA, 94563, US

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Introduction Video

Description

Trivas uses AI to unify your e-commerce and ad data into one intelligent analytics hub.

Trivas simplifies e-commerce analytics by bringing all your sales, & marketing data together in one place. It uses artificial intelligence to highlight trends, forecast demand, and uncover opportunities for growth. Merchants can track performance across channels, measure campaign impact, and make smarter business decisions without switching tools.

Create custom dashboards to track revenue and campaign impact.
Analyze promotions to measure uplift and optimize discount strategy.
Forecast future sales and demand with intelligent predictions.
Chat naturally with your store data: sales, traffic, inventory, or campaign.

Pros

Unified analytics: Trivas consolidates sales and marketing data from multiple platforms like Shopify and Amazon for a comprehensive view.
AI-driven insights: The app uses artificial intelligence to highlight trends, forecast demand, and uncover growth opportunities.
User-friendly setup: The setup process is straightforward, with responsive support for connecting data sources.
Custom dashboards: Users can create dashboards to track revenue, campaign impact, and more.
Performance tracking: Merchants can monitor and measure performance across different channels and campaigns.
AI Wingman feature: Facilitates quick generation of insights and reports.
Natural language interaction: Users can chat naturally with their store data regarding sales, traffic, inventory, or campaign.

Cons

Limited reviews: Current feedback available primarily highlights positive aspects, making it difficult to identify areas for improvement.
Potential learning curve: While the setup is straightforward, there may still be a learning phase for users unfamiliar with data analytics tools.