Data for food finally in one place
AI Analyst connects production plants and food distribution systems —ERP, sensors, CRM— to deliver a 360° view, detect anomalies, and explain what really caused them, factoring in batch traceability and cold-chain temperature sensors.
In food, data lives scattered across systems that don't talk to each other
In production plants and food distribution, relevant information —including batch traceability and cold-chain temperature sensors— lives scattered across different tools, and no one has the full picture to explain why a key metric changed.
Fragmented data
Information from plants and distribution centers lives in systems that don't natively cross-reference.
Anomalies that go unnoticed
A significant deviation in batches with expiration dates is detected days after it occurs.
Correlation without causality
Dashboards show that something changed, without explaining whether the cause was batch traceability and cold-chain temperature sensors or another variable.
A data analyst specialized in food
Unifies production plants and food distribution 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 manually.
Connects with what you already use, with no friction
Connects to the systems native to production plants and food distribution, including batch traceability and cold-chain temperature sensors.
ERP, sensors, and operating systems
ERP, sensors, and operating systems from plants and distribution centers, including batch traceability and cold-chain temperature sensors.
AI Analyst for Food
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 food
Leadership and operations
Get a unified view of plants and distribution centers without relying on manual reports.
Quality control and compliance
Detect anomalies related to batch traceability and cold-chain temperature sensors before they become a bigger problem.
Planning and purchasing
Understand which variable actually explains a change in batches with expiration dates.
A food company with several plants and logistics centers 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 plants, 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 batch traceability and cold-chain temperature sensors 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 production plants and food distribution 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 food operation's data
We'll show you how AI Analyst connects your systems and explains the real causality behind your numbers.