Travel
AI Solution · Leadership, Marketing, Finance, and OperationsTravel

It doesn't just tell you what changed, it explains why

AI Analyst connects over 100 sources —Shopify, GA4, Salesforce, Meta, TikTok, CRM, ERP— to deliver a 360° data view, detect anomalies automatically, and explain the real causality behind every variation.

100+ sources
natively connected
360° data
a single business truth
Anomalies
detected automatically
The Challenge · The problem with today's dashboards

You have data everywhere, but no explanation

Every team looks at a different dashboard —marketing in Meta, sales in Salesforce, operations in the ERP— and nobody has the full picture that explains why a key metric moved.

🧩

Fragmented data

Information lives scattered across dozens of tools that don't natively cross-reference each other.

📊

Anomalies that go unnoticed

A conversion drop or a cost spike is detected days later, when someone finally reviews the dashboard manually.

🤷

Correlation without causality

Dashboards show that something changed, but they don't explain what actually caused it among dozens of possible variables.

The Solution

A data analyst that connects, monitors, and explains

AI Analyst unifies over 100 sources into a single data control layer, constantly monitors for anomalies, and explains the real causality behind every relevant change.

🔗

100+ native integrations

Connects Shopify, GA4, Salesforce, Meta, TikTok, CRM, and ERP, among many others, with no custom development.

🎯

360° data control

Unifies business metrics into a single source of truth, queryable by any team.

🚨

Automatic anomaly detection

Constantly monitors key metrics and alerts as soon as it detects a significant deviation.

🔍

Real causality explanation

Goes beyond correlation: identifies which variable actually caused the detected change.

How It Works · The value, step by step

From 100+ scattered sources to one clear explanation

The solution connects, monitors, and explains without any team having to cross-reference data by hand.

100+ data sourcesData unificationMonitor metricsDetect anomalyAnalyze causalityExplain in plain language
1
Connect your data sourcesIntegrates with over 100 tools: ecommerce, web analytics, CRM, advertising, and ERP.
2
Unify data into a single layerNormalizes and cross-references information from every source to hold a single version of the truth.
3
Monitors key metrics continuouslyTracks the business indicators defined as priorities in real time.
4
Detect anomalies automaticallyIdentifies significant deviations from expected historical behavior.
5
Explain the real causalityAnalyzes the variables involved and determines which one actually explains the detected change.
6
Communicates the finding in plain languageDelivers a clear, actionable analysis to whoever needs it, with no unnecessary jargon.
Integration

Connects with what you already use, frictionlessly

It connects to your entire existing data stack, with no migrations or new data warehouse required.

Input

100+ data sources

Shopify, GA4, Salesforce, Meta, TikTok, CRM, ERP, and other business tools.

Grovium Solution

AI Analyst

Unifies data, monitors metrics, and analyzes causality continuously.

Output

Leadership and business teams

Delivers actionable explanations and alerts to marketing, finance, operations, and leadership.

Human oversight available at every critical step: the solution proposes, your team decides when it's needed.

Use Cases · The Business Value

Who uses this 360° data view

Executive leadership

Gets a unified view of the business without depending on manual reports from each area.

Marketing and finance

Understand which variable actually caused a conversion drop or a spike in acquisition cost.

Operations

Detects operational anomalies —stock, delivery times, incidents— before they become a bigger problem.

Problem → Solution

A company that took weeks to explain a drop in sales

A real example of the kind of situation this solution solves.

Before · the problem

Sales fell 18% in two weeks and every team pointed at another: marketing said it was logistics, logistics said it was product, and nobody had the cross-referenced data to confirm it.

Information lived scattered across Shopify, GA4, the CRM, and the ERP, with no layer to cross-reference them. Manually analyzing the real cause of the drop took more than three weeks of meetings and data exports between teams.

After · with the solution

AI Analyst identifies within hours that the real cause was a shipping price change that coincided with a competitor's campaign, not a product or marketing problem.

With the 100+ sources already connected and continuously monitored, the solution detected the anomaly the same day it started, and its causality analysis pointed to the exact variable behind the drop, ruling out the other hypotheses.

Stop guessing why a metric changed

We'll show you how AI Analyst connects your data sources and explains the real causality behind your numbers.