Turn AI into measurable manufacturing value.
Stratify helps discrete manufacturers identify, prioritize and execute practical AI opportunities across ERP, operations and the supply chain — with a business-first approach focused on measurable ROI.
From AI ambition to an executable roadmap.
We connect operational pain points, available data and business KPIs to a prioritized AI portfolio that leaders can actually fund and implement.
AI Opportunity Assessment
Identify high-value use cases across planning, quality, maintenance, supply chain and ERP-enabled processes.
Business Case & ROI
Translate each use case into expected savings, business KPIs, implementation complexity and value realization logic.
90-Day Action Plan
Create a pragmatic roadmap for pilots, governance, data readiness, ownership and executive decision-making.
High-value AI use cases for manufacturers.
Typical opportunities where AI can improve cost, throughput, working capital, quality and delivery performance.
Predictive Maintenance
Use equipment and maintenance data to anticipate failures, reduce unplanned downtime and improve asset availability.
AI Quality Inspection
Improve defect detection and root-cause analysis using computer vision, process data and historical quality signals.
Demand & Inventory Optimization
Improve forecast quality, safety-stock decisions and working-capital performance with machine-learning models.
Production Planning
Use AI-assisted planning to identify bottlenecks, optimize schedules and improve throughput and on-time delivery.
Procurement Intelligence
Prioritize supplier risk, price variance and sourcing opportunities using ERP, supplier and external data.
ERP Copilots & Automation
Reduce manual work in reporting, issue triage, master data, support and transactional processes through AI-enabled workflows.
What measurable AI value could look like.
Illustrative business cases for a Midwest discrete manufacturer with approximately $300 million in revenue and 1,000 employees. Every estimate is recalibrated using the client's operating baseline, data and cost structure.
| AI use case | Potential KPI improvement | Annual benefit | Implementation cost | Year-1 ROI | Payback |
|---|---|---|---|---|---|
| Inventory Optimization | Inventory value 5–15% lower; inventory turns 5–20% higher; stockouts 10–30% lower | $600K | $220K | 173% | 4.4 months |
| Throughput & Bottleneck Optimization | Throughput 5–15% higher; cycle time 5–20% lower | $500K | $180K | 178% | 4.3 months |
| Intelligent AP Automation | Invoice cycle time 30–60% lower; cost per invoice 20–50% lower | $280K | $120K | 133% | 5.1 months |
| Predictive Maintenance | Unplanned downtime 20–50% lower; maintenance cost 10–30% lower | $650K | $300K | 117% | 5.5 months |
| AI Visual Quality Inspection | Defect escapes 20–40% lower; scrap and rework 10–30% lower | $450K | $250K | 80% | 6.7 months |
These figures are directional planning assumptions, not client guarantees. Stratify validates the value drivers, implementation scope and baseline KPIs during the AI Opportunity Assessment before recommending an investment.
Built for the intersection of technology and business.
Stratify is designed around a simple principle: AI initiatives should start with business outcomes, not technology demos.
Practical AI. Measurable outcomes.
The goal is not to “do AI.” The goal is to identify where AI can create economic value, define the business case, and build a delivery path that manufacturing leaders can execute with confidence.
Focus: discrete manufacturing, ERP-enabled operations, AI opportunity prioritization and transformation execution.
Ready to identify your highest-value AI opportunities?
Start with a focused 30-minute conversation about your manufacturing environment, operational pain points and the business outcomes you want to improve.
Book a Free 30-Minute AI Opportunity CallOr email hello@stratifymfg.com