Manufacturing

Smart manufacturing for plants that cannot afford downtime.

Manufacturers across our markets compete on uptime and unit cost against imports. Most already run an ERP and most have machines generating data nobody collects. Connecting the two, and adding prediction on top, is among the highest-return technology investments on the factory floor, and it does not require replacing existing systems.

AWS Partner, Manufacturing and Industrial Services Competency
AWS Manufacturing and Industrial Competency
Validated by AWS. Click to see what was reviewed.
80%
reduction in unplanned downtime from predictive maintenance in an automotive deployment
Source: Shujaa case study
$5.3 to 8.5 billion
annual generative AI value estimated for African heavy industry, mining and energy
Source: McKinsey, 2025
3 categories
validated: Smart Manufacturing, Enterprise Solutions, Engineering and Design
Source: AWS Manufacturing and Industrial Competency

What we hear

The pressures manufacturing leaders describe to us.

  • Unplanned downtime and reactive maintenance
  • ERP systems ageing on expensive on-premises hardware
  • No visibility of OEE across plants
  • Energy costs and power reliability
  • Supply-chain volatility and stock-outs

Use cases

What we build for manufacturing on AWS.

Plant data and OEE dashboards

Connect PLCs and sensors, compute OEE in real time across lines and sites.

AWS: AWS IoT SiteWise, AWS IoT Greengrass, Amazon QuickSight

Predictive maintenance

Vibration, temperature and cycle data turned into failure predictions and work orders.

AWS: Amazon SageMaker, Amazon Timestream

ERP on AWS

SAP and other ERP migrations with resilience and lower run cost.

AWS: AWS Migration Hub, Amazon EC2, Amazon RDS

Quality inspection with computer vision

Camera-based defect detection at line speed.

AWS: Amazon SageMaker, AWS Panorama

Supply-chain and demand planning

Forecasting and inventory optimisation across distributors.

AWS: Amazon Forecast patterns on SageMaker, Amazon Redshift

Regulation and residency

Designed within the rules.

Industrial data is rarely regulated as strictly as personal data, but ERP systems hold employee and customer records. We separate operational telemetry from personal data and apply the appropriate residency rules to each.

Questions

Common questions

Our plants have unreliable connectivity. Does this still work?

Yes. AWS IoT Greengrass runs at the edge, buffers data during outages and synchronises when connectivity returns.

Next step

Talk to our manufacturing team.

We will share the relevant reference architecture, the compliance map for your country, and whether an AWS program could help offset the cost.

Goes to sales@shujaa.ai. We reply within one business day.