Automated Production Analytics
Replace Excel production tracking with AI insights that increase yield and reduce waste.
Yield
Waste
Control
Based on our experience, unifying manufacturing data cuts reporting time by up to 70% and speeds up decisions by up to 90%.
Bring finance, production, and logistics together.
Get consistent metrics without manual reporting.
Monitor costs, production, and supply in real time.
on implementing analytics in production
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ERP Systems Consolidated
Faster Reporting Preparation
BI Report
Accuracy
Faster Onboarding of New Acquisitions
BI Projects
Completed
Based Miami,
Florida
Solutions that drive manufacturing excellence
From real-time visibility to AI-powered optimization, these proven solutions help manufacturers reduce
costs, eliminate downtime, improve quality, and make smarter decisions.
Replace Excel production tracking with AI insights that increase yield and reduce waste.
The Problem
Poor production yields and excess material waste reduce profitability and increase manufacturing costs.
Solution
Business Example
Increasing yield from 92% to 95% can generate hundreds of thousands annually for food manufacturers.
Monitor production in real time to detect issues and reduce unplanned downtime.
The Problem
Production issues discovered too late increase downtime, scrap, and missed delivery deadlines.
Solution
Business Example
Detecting issues in 5 minutes instead of 3 hours helps prevent scrap, downtime, and missed orders.
Unify safety, compliance, and ESG data in one reliable source for manufacturing reporting.
The Problem
Safety incidents and complex ESG reporting increase risks, costs, and regulatory compliance efforts.
Solution
Business Example
Avoiding one serious safety incident can save $50K–$500K+ while reducing long-term operational risk.
Use AI to find answers, solve issues, and improve workforce efficiency.
The Problem
Critical knowledge stays with employees, slowing onboarding, troubleshooting, and daily production support.
Solution
Business Example
Saving 30 minutes daily for 20 technicians can recover 2,500+ working hours annually across the entire maintenance team.
Use Computer Vision for real-time quality visibility and detect defects before they reach customers.
The Problem
Manual inspections, human errors, and high defect rates increase scrap and production costs.
Solution
Business Example
A manufacturer losing $1M annually on scrap could save approximately $300K by reducing defects by 30%.
Forecast demand with AI to improve accuracy, inventory, and production planning.
The Problem
Forecast errors, excess inventory, and poor production planning increase costs while reducing operational efficiency.
Solution
Business Example
Reducing forecast error from 35% to 20% lowers inventory, reduces stockouts, and improves production planning.
Unify supplier and shipment data for one real-time view of your manufacturing supply chain.
The Problem
Supplier delays, material shortages, and limited visibility disrupt production and increase operational risks.
Solution
Business Example
Avoiding one production stoppage can save $100K–$1M+ for automotive manufacturers per incident.
Optimize production schedules, resources, and capacity to reduce delays with AI-driven planning.
The Problem
Frequent rescheduling, bottlenecks, and missed deadlines reduce efficiency and limit manufacturing capacity.
Solution
Business Example
A 10% throughput increase can add 1,000 units of daily production capacity to a factory producing 10,000 units.
Analyze procurement, ERP, and production data to reduce costs and improve supplier performance.
The Problem
Supplier price increases and maverick spending raise procurement costs and reduce contract compliance.
Solution
Business Example
Reducing procurement costs by 5% can save $1.5M annually on $30M in annual purchasing spend alone.
Improve OEE and equipment utilization with real-time analytics and AI insights.
The Problem
Low OEE, hidden bottlenecks, and poor equipment utilization reduce overall production efficiency and profitability.
Solution
Business Example
A 5% OEE improvement can unlock $2M–$5M in additional annual production capacity and business value.
Improve inventory and forecasting visibility to reduce costs and maintain optimal stock.
The Problem
Excess inventory, stock shortages, and tied-up working capital increase costs and reduce cash flow.
Solution
Business Example
A 15% inventory reduction can release $3M in cash from $20M of inventory assets without affecting production continuity.
Track energy use across every plant in one dashboard to reduce costs and improve efficiency.
The Problem
Rising energy costs and limited visibility increase operating expenses and reduce manufacturing efficiency.
Solution
Business Example
Reducing energy costs by 10% can save $500K annually for manufacturers spending $5M on energy.
Track production costs and COGS to improve margins and manufacturing profitability.
The Problem
Unknown margin leakage and rising production costs reduce profitability and limit business growth.
Solution
Business Example
A 2% gross margin improvement can increase annual profit by $2M for a $100M manufacturer.
Predict equipment failures with AI before they cause costly unplanned downtime.
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solutions
Business Example
Reducing downtime by 200 hours annually can save up to $2M for plants with 50 production lines.
Monitor process stability to reduce scrap and rework before quality issues affect production.
The Problem
Process drift and delayed quality detection increase scrap, rework, and overall production costs significantly.
Solutions
Business Example
Reducing scrap from 3% to 2% can save about $500K annually for a $50M manufacturing company.
Have a unique challenge?
Let's build a custom solution
for your business.
Have a unique challenge?
Let's build a custom solution
for your business.
Have a unique challenge?
Let's build a custom solution
for your business.
Predictive
Maintenance
Predict equipment failures with AI before they cause costly unplanned downtime.
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solutions
Business Example
Reducing downtime by 200 hours annually can save up to $2M for plants with 50 production lines.
OEE & Reliability Dashboard
Improve OEE and equipment utilization with real-time analytics and AI insights.
The Problem
Low OEE, hidden bottlenecks, and poor equipment utilization reduce overall production efficiency and profitability.
Solution
Business Example
A 5% OEE improvement can unlock $2M–$5M in additional annual production capacity and business value.
Production Planning Optimization
Optimize production schedules, resources, and capacity to reduce delays with AI-driven planning.
The Problem
Frequent rescheduling, bottlenecks, and missed deadlines reduce efficiency and limit manufacturing capacity.
Solution
Business Example
A 10% throughput increase can add 1,000 units of daily production capacity to a factory producing 10,000 units.
AI Quality Control with Computer Vision
Use Computer Vision for real-time quality visibility and detect defects before they reach customers.
The Problem
Manual inspections, human errors, and high defect rates increase scrap and production costs.
Solution
Business Example
A manufacturer losing $1M annually on scrap could save approximately $300K by reducing defects by 30%.
SPC Health
Dashboard
Monitor process stability to reduce scrap and rework before quality issues affect production.
The Problem
Process drift and delayed quality detection increase scrap, rework, and overall production costs significantly.
Solutions
Business Example
Reducing scrap from 3% to 2% can save about $500K annually for a $50M manufacturing company.
Automated Production Analytics
Replace Excel production tracking with AI insights that increase yield and reduce waste.
The Problem
Poor production yields and excess material waste reduce profitability and increase manufacturing costs.
Solution
Business Example
Increasing yield from 92% to 95% can generate hundreds of thousands annually for food manufacturers.
Demand
Forecasting AI
Forecast demand with AI to improve accuracy, inventory, and production planning.
The Problem
Forecast errors, excess inventory, and poor production planning increase costs while reducing operational efficiency.
Solution
Business Example
Reducing forecast error from 35% to 20% lowers inventory, reduces stockouts, and improves production planning.
Inventory & Working Capital Dashboard
Improve inventory and forecasting visibility to reduce costs and maintain optimal stock.
The Problem
Excess inventory, stock shortages, and tied-up working capital increase costs and reduce cash flow.
Solution
Business Example
A 15% inventory reduction can release $3M in cash from $20M of inventory assets without affecting production continuity.
Procurement & Sourcing Analytics
Analyze procurement, ERP, and production data to reduce costs and improve supplier performance.
The Problem
Supplier price increases and maverick spending raise procurement costs and reduce contract compliance.
Solution
Business Example
Reducing procurement costs by 5% can save $1.5M annually on $30M in annual purchasing spend alone.
Real-Time Machine Floor Monitoring
Monitor production in real time to detect issues and reduce unplanned downtime.
The Problem
Production issues discovered too late increase downtime, scrap, and missed delivery deadlines.
Solution
Business Example
Detecting issues in 5 minutes instead of 3 hours helps prevent scrap, downtime, and missed orders.
Supply Chain Control
Tower
Unify supplier and shipment data for one real-time view of your manufacturing supply chain.
The Problem
Supplier delays, material shortages, and limited visibility disrupt production and increase operational risks.
Solution
Business Example
Avoiding one production stoppage can save $100K–$1M+ for automotive manufacturers per incident.
Unified Manufacturing Data Platform
Unify safety, compliance, and ESG data in one reliable source for manufacturing reporting.
The Problem
Safety incidents and complex ESG reporting increase risks, costs, and regulatory compliance efforts.
Solution
Business Example
Avoiding one serious safety incident can save $50K–$500K+ while reducing long-term operational risk.
Manufacturing Cost
(COGS) Analytics
Track production costs and COGS to improve margins and manufacturing profitability.
The Problem
Unknown margin leakage and rising production costs reduce profitability and limit business growth.
Solution
Business Example
A 2% gross margin improvement can increase annual profit by $2M for a $100M manufacturer.
Energy Monitoring & Optimization
Track energy use across every plant in one dashboard to reduce costs and improve efficiency.
The Problem
Rising energy costs and limited visibility increase operating expenses and reduce manufacturing efficiency.
Solution
Business Example
Reducing energy costs by 10% can save $500K annually for manufacturers spending $5M on energy.
AI Knowledge Assistant for Operations
Use AI to find answers, solve issues, and improve workforce efficiency.
The Problem
Critical knowledge stays with employees, slowing onboarding, troubleshooting, and daily production support.
Solution
Business Example
Saving 30 minutes daily for 20 technicians can recover 2,500+ working hours annually across the entire maintenance team.
Your tailor-made Data Integration
Have a unique challenge?
Let's build a custom solution
for your business.
Customized Data Analytics Solution
Have a unique challenge?
Let's build a custom solution
for your business.
Your Custom AI Automation Solution
Have a unique challenge?
Let's build a custom solution
for your business.
We offer business analytics solutions for production that enable seamless coordination between finance, operations, procurement, safety, and automation.
Forget about manually verifying reports and data discrepancies. Work with accurate metrics and make decisions without delays.
Here’s how analytics look once your data is brought together: production, cost, and sales metrics
are tracked in one system and updated automatically. Dashboards help you monitor performance,
spot issues early, and act on current data without manual effort or delays.
In the dashboards, you can immediately see key metrics: your sales, expenses, inventory, plan fulfillment, and trends over time. You can change
the time period, filter data, and compare metrics without having to generate new reports. That’s because we offer customized data solutions
for manufacturing that take into account the specific processes of each company and ensure that only the metrics
critical to management are displayed.
Implementing analytics in manufacturing requires the coordinated integration of data, metrics, and processes. We build systems where all metrics are interconnected and reflect the true state of the business. As one of the leading manufacturing data analytics companies, we implement analytics that deliver consistent results, transparent metrics, and control at every level.
Quick start and first results in just 1 week
25+ BI and Finance experts without hiring pain
Proven BI delivery for 8 years in 22 industries
More than 70 happy clients across 5 countries
Save 35% compared to W-2 payroll or contractors
Full end-to-end delivery, from reporting to support
Need a reliable analytics system for your manufacturing operations? Get a customized solution that ensures metric control, process transparency, and consistent data performance.
Transition from manual preparation to automated report generation—from 10 days to daily updates.
Transition from local reporting to global coverage spanning the U.S., the U.K., Canada, Europe, and Australia.
Reconciliation of metrics with financial statements and elimination of discrepancies.
Centralized analytics enabled a shift from monthly to regular management decisions.
Read the full case study and hear from the company’s CFO and CIO.
Analytics requires the seamless integration of data, processes, and metrics. We select the appropriate manufacturing data analytics software to handle workload, support different analysis scenarios, and keep the system stable. Data remains consistent across systems. It can be used for decision-making without additional manual checks.
Our stack for working with operational data covers the following areas:
Healthcare
Result:
Logistics
Result:
Manufacturing
Result:
Industry-focused case studies designed for your needs
Data analytics consulting for manufacturing involves the systematic development of a framework in which data is harmonized, metrics are calculated according to uniform standards, and analytics is used to inform decision-making at both the process and financial levels.
In the first stage, our experts analyze the current state of production data. They verify:
The result: you see the actual state of the data and the reasons for discrepancies.
At this stage, the project team consolidates data from ERP, production, and logistics systems into a single structure. Our specialists ensure:
The result: you work with consistent data without discrepancies between systems.
After consolidating the data, specialists establish a unified calculation logic for the metrics. Data engineers determine:
The result: you receive metrics that are calculated consistently across all reports.
At this stage, analysts create dashboards tailored to business objectives. They configure:
The result: you see key metrics in a single interface and quickly identify anomalies.
After launch, engineers put the system into operational mode with automatic data updates. They ensure:
The result: you work with up-to-date data and monitor processes in real time.
After launch, our team will either hand over the system to you or continue to provide support. It is important to organize:
The result: you work with analytics in a convenient format.
“Cobit Solutions quickly understood the complexity of our environment and delivered strong results across a wide range of subject areas. They adapted fast, worked effectively under tight timeframes, and consistently provided high-quality technical and business input throughout the project. We now see them as a consistent and valuable partner in our ongoing data journey.”
Josh Rammel
Global Head of IT
“Second only to the Mona Lisa, it is the most beautiful work of art I’ve ever seen in my life… For real, it’s great. It’s exactly what we needed and we’re looking for. It’s good visualizing it that way. All is very good. This stuff’s awesome.”
Andrew Craft
President at Site Landscape Development
“We want to express our sincere appreciation for all the support you’ve provided… From tackling urgent challenges like data upload to creating the initial flash report and making progress on complex issues; your contributions have been invaluable.”
Julia MacDonald
Group FP&A Manager
«Now all my data is updated every day. I take a look from time to time, when I’m making my own report, whether the numbers coincide. Having made sure it’s alright, I just carry on with my life in peace.»
Serhii Tupkalo
Board member, CFO at HELEN MARLEN L.P.
“Automation of business analysis helps us to see and control key metrics in real time, both of individual areas and of the entire business as a whole, which allows us to make timely and effective management decisions.”
Andrii Marchenko
Chief Information Officer of Frendt LLC
“Thanks to dashboards, we can also make a forecast of our financial indicators for a month, quarter or half a year and have the opportunity to compare the actual financial result with our predicted one – to understand the completeness of the reflection of expenses and income.”
Andrey Arbuzin
Deputy financial director
Pricing is formed by the volume of data, the number of systems involved, and the complexity of the task. The cost of the project is also affected by the specialists involved. In most cases, the work includes an analyst, a data engineer, and a data architect. The cost of their work in our company ranges from $60 to $100, which is below the average for similar projects in the international market. At the same time, we guarantee high-quality performance. Before starting work, we determine the composition of the team and estimate the number of hours required for your tasks.
First results often appear within 2–4 weeks. Simpler setups move faster, while more complex projects with multiple data sources can take several months.
We integrate data from ERP, MES, CRM, WMS, financial systems, databases, and files. Sources may vary in format — APIs, SQL databases, or Excel — and are combined into a single structure for analysis.
Yes. The platform integrates with most ERP systems and aligns metrics with your existing data, so reporting remains consistent across systems.
Analytics enables you to work with standardized metrics, identify deviations in processes, and assess the impact of decisions on costs, inventory, and production. This reduces errors and speeds up management decision-making.
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