GoOmni.AI: Scaling E-commerce with Foresight
Founding Designer @ GoOmni.AI How I transformed manual data "mess" into an AI-driven daily habit for e-commerce teams.
Problem
While working with the founder of GoOmni.AI, we realized that small marketing teams struggled to see the big picture. Because data lived in separate silos across different agencies and platforms, they were spending their most productive morning hours "stitching" together exports from GA4, SFCC, and Klaviyo just to see if they were profitable.
My Role
As the Founding Designer, I was responsible for more than just the interface. I partnered with our founder to define the product’s "North Star," moving us from a technical data-aggregator to a human-centric intelligence hub.
Solution
We began designing high-fidelity prototypes by establishing a cohesive style guide and identifying the primary user flows. The visual language was designed to be clean and data-rich, focusing on increasing clarity for complex e-commerce analytics.
Let us walk you through our design solutions by a merchant’s daily journey.
Scenario 01: The Morning Check
A merchant wakes up and needs to identify business "deltas" across GA4, SFCC, and Klaviyo immediately to prepare for the day.
Task 1: Getting the "Health Check"
Key Feature: Unified "Pulse" Dashboard.
Justification: Shadowing revealed merchants were "stitching" data manually, causing a "Morning Panic". Removing the "Tab Jump" increases Decision Velocity, transforming a 20-minute manual process into a 5-second glance.
Scenario 02: Deep-Dive Analysis
The merchant notices a revenue spike and needs to determine if a specific Klaviyo email campaign was the primary driver.
Task 2: Bridging the Data Silos
Key Feature: Dimension Grouping.
Justification: Previously, users performed "mental math" via CSV exports and pivot tables, leading to frequent human error. Automating this relationship eliminates manual spreadsheets and ensures data integrity.
Scenario 03: Future Planning
While reviewing forecasts, the merchant sees a predicted sales drop and needs to understand the root cause before adjusting their budget.
Task 3: Investigating AI-driven forecasts
Key Feature: "Glass Box" Insight Cards.
Justification: Shadowing revealed a "Trust Gap" where users ignored "Black Box" AI. By highlighting the specific underperforming variable, the design turns the AI into a trusted advisor.
The Launch and Beyond
GoOmni.AI was officially launched in November 2024, successfully transforming a technical data "mess" into a human-centric intelligence hub. By automating the data flow from GA4, SFCC, and Klaviyo, the platform has become a daily habit that replaces "spreadsheet stitching" with actionable intelligence.
