Industries / Manufacturing

Quantify the cost of
every minute of downtime.

Manufacturing buyers think in OEE, yield rates, and cost per unit. Serre helps you build business cases in the language of the plant floor, not the software demo.

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Sound familiar?

Three barriers to closing manufacturing deals.

Plant managers and operations VPs have seen every vendor promise productivity gains. They need proof, not projections.

ROI models that ignore plant economics

Generic productivity calculators don't account for shift patterns, line speeds, or scrap rates. Manufacturing buyers dismiss models that don't reflect their reality.

Capex vs. opex budget battles

Manufacturing CFOs split budgets across capital projects and operating expenses. Your case needs to show payback in both frameworks to survive the budget review.

Proving value across multiple plants

A pilot at one facility means nothing to the VP of Operations unless you can project savings across 20 sites with different baselines, products, and constraints.

How Serre helps

From plant floor to boardroom.

Serre translates operational improvements into financial outcomes that manufacturing CFOs understand and approve.

OEE and downtime value drivers

Pre-built templates that model unplanned downtime reduction, yield improvement, changeover time savings, and predictive maintenance ROI using standard manufacturing KPIs.

Multi-site scaling models

Build a case for one plant, then project across the fleet. Serre adjusts for site-level differences in capacity, product mix, and labor costs automatically.

Supply chain cost modeling

Quantify inventory carrying cost reduction, procurement savings, and logistics optimization with decomposable variables that break complex costs into auditable components.

Capital justification exports

Generate NPV and payback period analysis formatted for capital expenditure requests, alongside the operational ROI view for the plant operations team.

Industry benchmarks

Numbers your prospect already trusts.

Manufacturing leaders benchmark obsessively. Serre cites the same sources they use internally.

$260K/hr

Average cost of unplanned downtime in automotive manufacturing, with some lines exceeding $500K per hour.

Aberdeen Research / Senseye, The True Cost of Downtime 2023

5-20%

Typical OEE improvement achievable through predictive maintenance and real-time monitoring in discrete manufacturing.

McKinsey & Company, Industry 4.0 Value Creation 2023

$1.3T

Global value at stake from digital transformation in manufacturing over the next decade.

World Economic Forum / McKinsey, Fourth Industrial Revolution 2023

Win your next
manufacturing deal.

Three free cases. No credit card. Build an investment case that speaks the language of yield, uptime, and throughput.