Industries
AI Agents for Manufacturing Operations
Production data, supply chain signals, and quality metrics are trapped in separate systems. Our AI agents connect what your ERP, MES, and quality tools already know — giving operators and managers real-time intelligence instead of end-of-month reports.
Key Takeaways
Manufacturing runs on decisions made in real time — on the line, at the dock, in the quality lab. AI agents surface the signals that matter before the shift ends.
- Unplanned downtime costs manufacturers an estimated $50B annually
- AI-driven predictive maintenance can reduce equipment downtime by 30-50%
- Only 30% of manufacturers have real-time visibility into production KPIs
Manufacturing by the Numbers
0B
Annual cost of unplanned downtime
0%
Manufacturers with real-time production visibility
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Downtime reduction with predictive maintenance
Common challenges for manufacturing data teams.
Manufacturing generates data at every stage — from raw material procurement through production, quality inspection, and shipment. But most manufacturers still rely on manual reports, disconnected ERP modules, and tribal knowledge to make daily decisions. The data exists. The visibility doesn't.
Pain points we see most often
- ✓Production downtime that could have been predicted — but the sensor data and maintenance logs live in different systems.
- ✓Quality issues caught at final inspection instead of at the source, because quality metrics aren't tied to upstream process data.
- ✓Supply chain disruptions that blindside operations teams because procurement, logistics, and production planning don't share a common dashboard.
- ✓Plant managers making decisions based on month-old reports instead of real-time production data.
What we've delivered for manufacturers
For a nationwide electrical contractor, we built a data-driven foundation that replaced manual reporting with automated finance dashboards — giving leadership real-time visibility into project costs and margins across 50+ locations.
Manufacturing data services for greater visibility and profits.
There's no such thing as a one-size-fits-all data solution, so we tailor everything to your business needs and goals.
Data Analytics & BI
Insights from manufacturing data analysis, dashboards and reports, and manufacturing business intelligence (BI) tools yield smarter decisions about pricing, staffing, and more.
Learn moreAI & ML
Artificial intelligence (AI) and machine learning (ML) models can predict consumer and supply chain behavior, spot trends and inefficiencies, target prospects, and automate efficiently.
Learn moreData Strategy
Establish an actionable strategy to understand where you're at and how you'll get where you want to go using manufacturing data strategies and business intelligence to grow.
Learn moreData Engineering
Gather, process, integrate, and act on consumer and supply chain data more efficiently through robust data architectures and seamless manufacturing data pipelines.
Learn moreFrequently Asked Questions
What manufacturing data can you integrate?
We connect production systems (MES, SCADA), quality management platforms, ERP systems (SAP, Oracle, Epicor), IoT sensors, maintenance logs, and supply chain data. Most manufacturers have data scattered across 8-12 systems that need unification.
How does predictive analytics help manufacturers?
Predictive analytics enables demand forecasting, predictive maintenance to reduce unplanned downtime, quality anomaly detection to lower scrap rates, and supply chain disruption early warning. These applications typically deliver ROI within the first quarter.
Can you work with our existing ERP and MES systems?
Yes. We build on top of your existing infrastructure rather than replacing it. We have experience connecting to SAP, Oracle, Epicor, and custom manufacturing systems. Our goal is to extract and consolidate data without disrupting production workflows.
How do you handle real-time production data?
We build streaming data pipelines and real-time dashboards that surface production metrics, quality indicators, and OEE as they happen. Operators and managers get the visibility they need without waiting for end-of-shift or end-of-week reports.
What does a manufacturing analytics engagement look like?
We start with a data audit to understand your current systems and pain points. Then we build a phased plan — typically starting with production visibility and quality tracking, then expanding to predictive maintenance and supply chain analytics.
Success Stories in Manufacturing
Insights for Manufacturing
Analytics & BI
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Franchisors, PE firms, and corporate parents all face the same challenge: creating a single pane of glass across distributed entities with different systems. A practical guide to hub-and-spoke reporting infrastructure.
Data Strategy
Data Strategy for Manufacturing: From ERP Reports to Operational Intelligence
Manufacturing data lives in two worlds — operational technology and information technology. Learn how to build a data strategy that bridges the gap and drives production visibility, quality improvement, and supply chain resilience.
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Who This Is For
Mid-market manufacturers ($50M–$500M) running multiple production facilities with disconnected ERP, MES, and quality systems — where production managers still rely on tribal knowledge and Excel for shift decisions.
What We Do
- ERP + MES + quality system data unification
- Predictive maintenance signals from equipment sensor data
- Real-time OEE dashboards accessible on the floor
- Supplier risk scoring and lead-time anomaly detection
- Quality control trend analysis and SPC automation
Outcomes
- Real-time production visibility across facilities within weeks
- 20-35% reduction in unplanned downtime through predictive signals
- Automated quality reporting replacing manual data collection
We've helped manufacturers cut costs and boost production.
Your data is speaking. Let us be your translator.