Production tracking, QC and maintenance systems for manufacturers.

Bespoke Software for Manufacturing & Industrial Firms

Bespoke manufacturing software centralises production tracking, QC, maintenance and stock into a single, auditable system—designed around real shop-floor workflows.

I work with manufacturers and industrial businesses to create bespoke web and Android applications that track production, quality control, stock and maintenance – backed by tuned SQL Server databases.

Many manufacturing operations run on a mix of legacy systems, paper forms and Excel sheets. The information exists, but it’s scattered and hard to trust. A dedicated .NET application can give you a single source of truth for what’s being made, what’s in stock, and where time is being lost.

Typical focus areas

  • Production-line tracking by batch, order or work centre
  • Quality control workflows with clear pass/fail criteria
  • Planned and reactive maintenance logging
  • Stock and materials management tied into production
  • Reporting on throughput, downtime and rejects

Why bespoke systems make sense here

No two production environments are exactly the same. A bespoke system allows you to:

  • Match the way your lines, work centres and shifts are actually organised
  • Capture the exact QC checks and tolerances you need
  • Integrate with existing ERP, accounts or SCADA systems
  • Optimise the SQL Server database around your volumes and reporting

The aim is to make it easier to see what’s happening on the shop floor – and to give managers the data they need to decide where to invest time and money.

Typical features

  • Production and order tracking
  • QC and inspection workflows
  • Maintenance logs and schedules
  • Stock and materials visibility
  • Dashboards for KPIs and trends
  • Mobile/Android apps for operators

Good fit if you…

  • Run multi-stage production or assembly lines
  • Have paper or spreadsheet-based QC processes
  • Find it hard to answer “what’s happening right now?”
  • Need better data for investment and improvement decisions

Next step

If you’re considering a new production or QC system, we can use an initial conversation to map your current data flows and identify where software could help most.

Talk about your production setup

Common manufacturing terms explained

OEE (Overall Equipment Effectiveness) is a standard measure of how efficiently a production line or machine is running. It combines availability, performance and quality to highlight where downtime, slow running or defects are reducing output.

QC (Quality Control) covers the checks and inspections carried out during or after production to ensure products meet defined standards. QC workflows often include pass/fail checks, measurements, defect logging and traceability.

An NCR (Non-Conformance Report) records when a product or process does not meet required standards. NCRs are commonly used to track defects, root causes, corrective actions and repeat issues.

WIP (Work In Progress) refers to items that are part-way through the production process. Tracking WIP accurately helps manufacturers spot bottlenecks, delays and material shortages.

Further reading: Web, Android & AI for manufacturing

The guides below show how bespoke systems support real-world manufacturing workflows — from production tracking and QC to shop-floor data capture and practical AI that helps teams understand downtime, rejects and performance without endless spreadsheets.

Bespoke Web Apps for Manufacturing

How custom web systems bring production tracking, QC workflows, downtime, stock visibility and reporting into one joined-up platform.

Read: web app guide

Android Apps for Manufacturing Operators

Practical shop-floor Android apps for operator data capture, QC checks, barcode scanning and stock movements — designed for real factory environments.

Read: Android guide

Practical AI for Manufacturing SMEs

Realistic AI use cases that help manufacturers analyse downtime, QC failures and performance trends — without losing control of operational data.

Read: AI guide