Connect your sources
The data fabric brings in production, downtime, quality and maintenance data from your ERP and plant systems, and keeps it current.
Manufacturing
Manufacturing analytics
Put your data to work.
See OEE, downtime, scrap, yield and supplier performance across lines and plants. Ask questions of your production data, check the work behind every answer, and turn the reviews you run every week into tools.
Your weekly review deserves a better starting point.
001 / What you can ask
Ask about OEE, downtime and quality across lines, shifts and plants
Example questions plant, operations and quality teams ask about their own data.
Yes, you can ask the awkward questions.
- Which parts, stations and shifts drove the most downtime this week?
- Where is OEE below target by line and plant, and which losses explain the gap?
- Where do scrap and yield deviate from normal, and what patterns stand out?
- Which suppliers are late or short, and which production orders does that put at risk?
- Which maintenance tasks are due in the next seven days, and what is their failure history?
- Where are bill of materials costs rising, and which components drive the change?
- Which areas show rising incident or near-miss rates by shift?
002 / How it works
From production data to checks you can rerun
Keep the useful work.
Beye is the foundation your team builds on: connected data, real analysis, reusable tools and a history of the work.
Ask and see the work
Ask about OEE, scrap or downtime in plain language. Each answer shows the query and steps behind it.
Build tools you rerun
Turn an OEE or loss review into a tool with inputs, backed by real Python, and rerun it for the next line, shift or week.
Keep a history
Revisions show who changed what. Saved runs keep their inputs, timing and results for reviews and audits.
003 / Frequently asked questions
Questions welcome.
Fine print, less so.
Common starting points are OEE by line and shift, top loss analysis, scrap and yield, supplier performance and safety incident analysis. Each one is built on your own plant definitions.
The Beye data fabric brings in production, downtime, quality and incident data from your ERP and plant systems, including older platforms such as IBM AS/400 and DB2, and keeps it current with recurring updates. Custom systems can take some extra integration work.
Today you can build a tool that checks each line against its targets and rerun it whenever you need. Automatic event- and schedule-driven checks will come with agents, which are coming soon.
004 / Related
Where this data meets the rest of the business
Safety & Compliance
Incidents, inspections and corrective actions across plants and shifts.
Supply Chain
Stockouts, fill rate, supplier lead times and cost to serve across your network.
Platform overview
How the data fabric, analysis, Python tools and history fit together.
005 / Your next step
Bring the messy part.
Let’s put it to work.
Yes, even that spreadsheet.
Bring a report, calculation or recurring check you run today. We’ll show you how Beye connects the data behind it and turns it into a tool your team can rerun.