AI Assistant

AI Operations Assistant for Food & Beverage

Ask questions about equipment status, temperature compliance, and maintenance schedules across your production facility. Get answers grounded in your actual sensor data.

The Problem

Where Things Break Down

Temperature compliance questions require BMS log pulls

When a quality manager asks 'did the cold storage stay within range overnight?' someone has to pull BMS logs, find the right sensor, and check the time range. This happens multiple times per day.

Batch and equipment correlation is manual

If a batch fails quality checks, tracing it back to equipment conditions during production means cross-referencing timestamps across the BMS, SCADA, and production schedule.

CIP and sanitation status is not easily queryable

Knowing which lines have completed their CIP cycles and which have equipment issues requires checking equipment status and maintenance schedules across multiple interfaces.

Our Approach

What Sandhed Does Differently

Sandhed's AI Co-Pilot sits inside your 3D floor plan view and accepts natural language questions. When you ask 'which machines had warnings this week?' the AI queries your sensor data, alert history, and maintenance records, then returns a structured answer with specific machine names, metric values, and timestamps. It knows your floor plan layout, which equipment you have, and what sensors are connected. Answers link directly to the machines and data they reference so you can verify anything with one click.

Natural Language Queries

Ask questions in plain language: 'Which machines ran hot last shift?' 'Are any work orders overdue?' 'What happened on Line 3 yesterday?' The AI translates your question into the right data queries.

Grounded in Real Data

Every answer comes with specific machine names, metric values, and timestamps pulled from your actual sensor data and maintenance records. No generic advice. No guessing.

Context-Aware Answers

The AI knows your floor plan layout, which equipment you have, what sensors are connected, and what integrations are active. It tailors answers to your specific facility instead of giving generic responses.

Direct Links to Data

Answers include clickable links that navigate to the referenced machines, pull up the relevant metric history, or jump to the specific alert. Verify any answer with one click.

Expected Outcomes

Results You Can Measure

0 sec

Average answer time

From question to data-grounded answer

0

Data tools available

Read-only queries across metrics, alerts, and maintenance

0%

Less time finding data

Reduction in time spent navigating between dashboards

0

Max query depth

Iterative data lookups per question for thorough answers

Based on platform capabilities and industry benchmarks. Results vary by facility.

FAQ

Common Questions

Anything about your facility's operations that is backed by sensor data, alerts, or maintenance records. Examples: 'Which machines had warnings this week?' 'What is the temperature trend on Oven-03 over the last 24 hours?' 'Are any preventive maintenance schedules overdue?' 'How many alerts did we have yesterday by severity?' The AI queries your actual data sources and returns specific answers.

Related Solutions

Custom Dashboards & KPI Views

Your factory generates thousands of data points every hour. Sandhed puts them on drag-and-drop dashboards tied to your 3D floor plan, so every role sees exactly what they need.

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Unplanned Downtime Prevention

Most manufacturers discover downtime after it costs them. Sandhed gives you the visibility to catch equipment issues before they shut down production.

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Maintenance Management

Maintenance teams lose hours tracking down service records, chasing overdue tasks, and figuring out what was done last time. Sandhed puts every work order, service record, and maintenance schedule on your 3D floor plan where you can see it.

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See the AI Assistant With Your Data

We will connect the AI to your facility data during the demo. Ask it your real questions and see how it responds with your actual equipment and sensor data.