Intelligent operations for manufacturing and industrials
Manufacturers carry more addressable cost in maintenance, working capital and back-office process than any other sector we serve. They also generate more machine and transaction data than almost anyone, most of it unused. Prime Partners connects the two.
asset data
business case
Weeks 5–12
performance
Three forces reshaping the sector
Downtime is now the largest hidden cost.
Supply chain volatility has become permanent.
AI on the shop floor is moving from pilot to standard.
Where we create value
From the plant floor to the boardroom — with deployable Ready AI products
Predictive maintenance and asset intelligence
McKinsey and Deloitte research puts maintenance cost reduction at 10–40% and unplanned downtime reduction at up to 50%, with asset life extended 20–40%. IoT Analytics reports 95% of adopters see positive ROI and 27% reach payback within 12 months. Ready AI: BigBrain, CognitiveCore.
Plant and back-office process discovery
ProcessExpert captures how planning, quality, maintenance and order-to-cash actually run and quantifies the automation opportunity, typically surfacing 20–30% process time reduction in the first phase. Practice: Industry Core Services.
Supply chain and demand analytics
AI-driven forecasting combined with real-time data cut forecast error by 32% and halved the volume exposed to extreme error in E2open’s multi-year benchmark study. Ready AI: BigBrain, Click.
Finance and procurement modernization
Manufacturing finance functions can run as low as 0.4% of revenue at top quartile (Hackett); procurement savings of 5–10% in year one are typical once spend visibility is established. Practices: Finance, Procurement.
Automation of quality, compliance and reporting workflows
FlowForge automation deployed in 8 weeks with up to 8× ROI [PP claim].
10-40%
lower maintenance cost with predictive maintenance (McKinsey)
Up to 50%
less unplanned downtime (McKinsey, Deloitte)
15–30%
of ERP projects exceed budget and schedule without process-led delivery.
32%
lower forecast error with AI and real-time data (E2open)
