Illustrative manufacturing inspection environment

Manufacturing — AI, data & automation

Connect inventory information, inspect production and understand operational exceptions across sites.

Illustrative image · not client premises

A practical delivery view

Operational inputs
AI + data + automation
Human review & action

Find the inventory

A delivered manufacturing engagement reduced cross-country parts availability from 15 days to 2.

  • Cross-country data consolidation
  • Inventory visibility
  • Availability workflows

Inspect the operation

Computer vision applications include quality checks, output tracking and restricted-area alerts. Conditions on the actual line shape the solution.

  • Quality checks
  • Production and inventory monitoring
  • Restricted-area alerts

Connect the wider workflow

Manufacturing ERP can be adapted around production operations. Platform fit and required integrations need review before selection.

  • Manufacturing ERP
  • Custom modules reviewed for fit
  • Operational integrations

What slows a manufacturing operation

Manufacturers that run several plants or countries often hold the same information in several places. Stock sits in one system, orders in another, finance in a third, and reports are stitched together by hand. Finding a part in another country can take days of emails. On the line, quality checks depend on people watching for the same defects every shift, and problems are often noticed after the batch has moved on.

  • Inventory split across systems and countries
  • Reports assembled by hand
  • Manual quality inspection
  • Problems found after the fact

What we have delivered

For a global manufacturing enterprise, we automated inventory, finance and data consolidation across countries, working with SAP, Salesforce and reporting tools. Cross-country parts availability went from 15 days to 2. That figure belongs to that engagement. Our computer vision work for manufacturing covers quality checks, restricted-area monitoring, and production and inventory monitoring. We also offer a manufacturing ERP that is customised to each operation.

  • Inventory and finance automation across countries
  • Integration with SAP, Salesforce and reporting tools
  • Computer vision for quality and line monitoring
  • Customisable manufacturing ERP

Where to begin

Choose one process that costs you time every week: a stock report, an intercompany reconciliation, a quality check on one line. Walk us through it on a short call or a process review, including the systems it touches and where it goes wrong. For a vision project, we will ask about the line, lighting and camera positions. If you are still weighing priorities, the free AI readiness report gives a written starting point.

  • One process or one line
  • Systems, volumes and failure points
  • Free AI readiness report

Questions that come up

Can you work with our existing SAP or Salesforce setup?

Our delivered manufacturing work integrated with SAP, Salesforce and reporting tools, so the automation ran across systems already in place. Access, versions and interfaces differ between companies, so compatibility is reviewed for each engagement before scope is agreed.

What can computer vision check on a production line?

Applications include quality checks on products, monitoring of production and inventory, and alerts when someone enters a restricted area. What a camera can reliably detect depends on the line, the lighting and the defect, so we evaluate on your footage first.

Will we see parts availability fall from 15 days to 2?

Not necessarily. That result came from one engagement with a global manufacturing enterprise and depended on its systems, data and processes. Your outcome depends on your own starting point, which a process review helps to establish.

Do you offer an ERP for manufacturers?

Yes. Data Prophets has a manufacturing ERP that is customised to each client. Fit comes first: a demo and a review of your production workflow show what suits you as it stands and what would need adapting.

Let’s talk about your next step.

The workflow, the data and what needs to change.