Data for retail finally in one place
AI Analyst connects retail store network systems —ERP, sensors, CRM— to deliver a 360° view, detect anomalies, and explain what really caused them, factoring in stock per store and seasonal campaigns.
In retail, data lives scattered across systems that don't talk to each other
In a retail store network, relevant information —including stock per store and seasonal campaigns— lives scattered across different tools, and no one has the full picture to explain why a key metric changed.
Fragmented data
Information from stores and warehouses lives in systems that don't natively cross-reference.
Anomalies that go unnoticed
A significant deviation in in-store product references is detected days after it occurs.
Correlation without causality
Dashboards show that something changed, without explaining whether the cause was stock per store and seasonal campaigns or another variable.
A data analyst specialized in retail
Unifies retail store network systems into a single data control layer, monitors constantly, and explains the real causality behind every change.
Native integrations
Connects ERP, sensors, CRM, and sector operating systems 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.
From scattered systems to a clear explanation
The solution connects, monitors, and explains without any team having to cross-reference data by hand.
Connects with what you already use, frictionlessly
It connects to the retail store network's own systems, including stock per store and seasonal campaigns.
ERP, sensors, and operating systems
ERP, sensors, and operating systems from stores and warehouses, including stock per store and seasonal campaigns.
AI Analyst for Retail
Unifies data, monitors metrics, and analyzes causality continuously.
Leadership and business teams
Delivers actionable explanations and alerts to the responsible teams.
Human oversight available at every critical step: the solution proposes, your team decides when it's needed.
Where it adds the most value in retail
Leadership and operations
Get a unified view of stores and warehouses without relying on manual reports.
Quality control and compliance
Detect anomalies related to stock per store and seasonal campaigns before they become a bigger problem.
Planning and purchasing
Understand which variable actually explains a change in in-store product references.
A retail chain with physical stores and an online channel that took weeks to explain an anomaly
A real example of the kind of situation this solution solves.
A key metric changed notably across several stores, and each team pointed to a different cause with no cross-referenced data to confirm it.
Information lived scattered across the ERP, operating systems, and stock per store and seasonal campaign data, with no layer to cross-reference them. Confirming the real cause took weeks of meetings and manual exports.
AI Analyst identifies the real variable behind the change within hours, with over 100 sources already connected and continuously monitored.
With retail store network systems unified, the solution detects the anomaly the same day it occurs, and its causality analysis points to the exact variable, ruling out the other hypotheses.
Unify your retail operation's data
We'll show you how AI Analyst connects your systems and explains the real causality behind your numbers.