Build Smarter Manufacturing With Data and AI
Proudly Serving These Innovators
End-to-End Manufacturing Analytics with Dataplatr
Analytics Strategy for Manufacturing
Identify data gaps affecting output, quality, and margins. Build a clear roadmap to improve performance.
Plant-Wide Data Integration
Connect MES, SCADA, ERP, IoT, and quality systems. Create one trusted source for manufacturing data.
Shop Floor & Leadership Dashboards
Give operators real-time visibility into machines and production. Help leaders track OEE, costs, and plant performance.
AI-Driven Alerts Before Things Break
Use AI to detect equipment and quality issues early. Give teams time to act before production is affected.
Demand & Capacity Forecasting
Forecast demand, materials, staffing, and production needs. Build more accurate schedules and procurement plans.
Sustained Analytics Operations
Keep models, dashboards, and reports accurate and updated. Ensure analytics continues to match changing operations.
Pilot Program
See Results Before You Commit
- Focused 2-4 week engagement on a real problem in your plant
- We bring the analytics, you bring the data and the problem
- Clear ROI evidence before any larger rollout decision
- Dataplatr engineers work directly alongside your team
Where AI Makes the Real Difference on the Floor
Not AI for AI's sake — specific applications that solve problems manufacturing teams deal with every day.
AI on the Factory Floor
- Use practical AI to solve daily manufacturing challenges. Improve efficiency, quality, and decision-making across operations.
Predict Machine Failures
- AI detects vibration, temperature, and cycle-time changes early. Maintenance teams can act before equipment breaks down.
Automate Shift Reports
- AI creates clear summaries of production, downtime, and key issues. The next shift gets the information it needs immediately.
Find Defect Causes
- AI analyzes machine, material, process, and environmental data. It helps teams identify the real cause of quality issues.
Improve Production Planning
- AI balances machine availability, staffing, materials, and order priorities. Plans adjust quickly when shop-floor conditions change.
Reduce Energy Use
- AI identifies settings that deliver better output with less energy. Teams get clear actions to reduce consumption and costs.
Simplify Compliance
- AI organizes work orders, inspections, and batch records. It flags missing information and keeps audit trails updated.
Moving Beyond Traditional Metrics: What Your Manufacturing Operations Can Achieve Today
Modern AI-Powered Outcomes
OEE with AI insights
True cost per unit
Equipment health and life
First Pass Yield trends
Real-time production schedules
Early quality alerts
Traditional Metrics
Units produced per shift
Downtime hours logged after the fact
Defects found at final inspection
Maintenance tickets raised and closed
Weekly production report from a spreadsheet
Headcount on the line
Our Proven Manufacturing Analytics Framework
A clear approach to unify manufacturing data, monitor production, and improve operations with analytics and AI.
- Connect production, machine, quality, inventory, maintenance, supply chain, and ERP data from multiple systems.
- Bring manufacturing data into one trusted platform for reporting, analytics, and AI use cases.
- Clean and organize raw manufacturing data by removing duplicates, fixing missing values, and standardizing formats.
- Analyze production lines, machine performance, quality, downtime, scrap, and cycle times to identify bottlenecks and operational issues.
- Track KPIs such as OEE, production output, downtime, cycle time, first-pass yield, scrap rate, and cost per unit.
- Use insights to reduce downtime, improve product quality, increase production efficiency, lower waste, and strengthen overall plant performance.
Build a Data-Driven Manufacturing Operation
Talk to Dataplatr experts to improve production visibility, efficiency, quality, and decision-making.