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Custom industrial risk management dashboard in Python and Streamlit

Custom industrial risk management dashboard in Python and Streamlit

Software and apps · delivered in 7-30 days

A tailor-made industrial risk dashboard built in Python and Streamlit, created to help manufacturing teams monitor supplier reliability, avoid stockouts and limit production delays through clear, interactive data visualisation.

If supply chain uncertainty keeps you awake, this service builds a dashboard tailored to your operation. Working directly with you, PBN.LTD develops Industrial Decision Intelligence and Risk Management tools using Python and Streamlit, so stockouts, supplier failures and delivery hold-ups become visible before they turn into real problems.

The system is built around 5 core risk areas: inventory shortages, supplier reliability, production shortfalls, delivery delays and cost fluctuations, giving you a live, unified view of your operational data.

What you receive:

  • A deployable Python and Streamlit dashboard
  • A risk analysis engine configured to your chosen KPIs
  • Clean, well-commented source code you can extend later
  • Excel and CSV import for bulk data, handling 500 or more rows
  • Interactive panels for quick, at-a-glance monitoring
  • Secure, role-based login for your team
  • Automated PDF and Excel reporting for management
  • A user guide to help your team get started

How the project runs:

  1. We discuss your requirements and the data you want tracked
  2. The dashboard is designed and built to your brief
  3. You review the first version and request adjustments
  4. The finished system is delivered through the order manager

PBN.LTD brings hands-on experience building risk management systems with Python, Streamlit and PostgreSQL, with a focus on clean code and steady communication. Delivery includes 30 days of post-delivery support, plus 1 round of revisions so the final build matches your brief. Please send us a message before ordering so we can confirm the project fits this service.

What happens after you buy

Your order opens its own thread here the moment it is paid, and everything about that order - questions, changes and the final report - happens in it.

Questions people ask

What information do I need to provide to get started?

Share as much detail as you can: the risks you want tracked (supplier reliability, stock levels, production delays, and so on), any data or sample files you already hold, the KPIs you want displayed, and a short note on your industry or business type.

Will the dashboard work with my existing data?

Yes, the dashboard is built around your own data. When ordering, tell us your data format, such as CSV, Excel or a database export, along with its structure. If you are unsure which format suits best, we can work that out together.

What does the one revision cover?

The revision round covers adjustments to the delivered dashboard based on your feedback, such as changing a chart type, altering a KPI metric or adjusting the layout. It does not cover a full redesign or features outside the original brief.

Can you also fix bugs in my existing Python or JavaScript code?

Yes, existing Python or JavaScript projects with bugs or issues can be reviewed and fixed. Please describe the problem in detail when placing your order so the work can be scoped properly.

Do you build automation scripts as well as dashboards?

Yes, custom Python automation scripts are also available. Describe the repetitive task, the inputs it uses and the output you need, and a script can be built around it.

How is the finished work delivered?

Everything, including the source code files, is delivered through the order manager, so you receive the full working project ready to run or deploy.

Do I need to know Python to use the dashboard?

No coding is required to use the dashboard itself, since the Streamlit interface is browser-based and built for non-technical users. A basic grasp of Python helps if you want to adjust the code yourself later.

Are you available on weekends if I have a tight deadline?

Yes, availability covers weekdays and weekends, so mention any tight deadline when ordering and it will be taken into account.

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