Get Powerful Manufacturing Data & AI Solutions
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
Solutions that drive manufacturing excellence
15 High-Impact AI & Data Solutions
for Manufacturing
From real-time visibility to AI-powered optimization, these proven solutions help manufacturers reduce
costs, eliminate downtime, improve quality, and make smarter decisions.
Predictive
Maintenance
AI system that predicts failures before they even actually happen.
Reduced Downtime
20–50%
Upkeep cost decrease
10–30%
Asset lifetime extension
20–40%
Explore Solution
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solutions
• Predict equipment failures
• Reduce unplanned downtime
• Lower maintenance costs
• Extend equipment lifetime
Business Example
Reducing downtime by 200 hours annually can save up to $2M for plants with 50 production lines.
OEE & Reliability
Dashboard
Improve equipment utilization with real-time production visibility.
Higher Utilization
5–15%
Higher Throughput
5–20%
Faster Issue Detection
Faster
Explore Solution
The Problem
Low OEE, hidden bottlenecks, and poor equipment utilization reduce overall production efficiency and profitability.
Solution
• OEE metrics in dashboard
• Bottlenecks in real time
• MTBF and MTTR across assets
• Efficiency with insights
Business Example
A 5% OEE improvement can unlock $2M–$5M in additional annual production capacity and business value.
AI Quality Control with Computer Vision
Computer Vision detects defects before they reach customers.
Faster Inspections
50–90%
Fewer Product Defects
20–80%
Lower Labor Costs
30–70%
Explore Solution
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solution
• Predict Equipment Failures
• Reduce unplanned downtime
• Lower maintenance costs
• Extend equipment lifetime
Business Example
A manufacturer losing $1M annually on scrap could save approximately $300K by reducing defects by 30%.
SPC Health
Dashboard
Monitor process stability before quality issues affect production results.
Reduced Scrap Costs
15–40%
Lower Rework Costs
10–25%
Better Process Stability
Improved
Explore Solution
The Problem
Process drift and delayed quality detection increase scrap, rework, and overall production costs significantly.
Solutions
• Monitor control charts
• Track Cp and Cpk
• Detect process deviations
• Improve process stability
Business Example
Reducing scrap from 3% to 2% can save about $500K annually for a $50M manufacturing company.
Production Planning
Optimization
Optimize production schedules, resources, and capacity with AI-driven planning.
Higher Throughput
10–25%
Better Schedule
15–30%
Balanced Workloads
Improved
Explore Solution
The Problem
Frequent rescheduling, bottlenecks, and missed deadlines reduce efficiency and limit manufacturing capacity.
Solution
• Optimize production sequence
• Allocate resources efficiently
• Improve labor planning
• Balance machine loading
Business Example
A 10% throughput increase can add 1,000 units of daily production capacity to a factory producing 10,000 units.
Inventory & Working Capital Dashboard
Reduce inventory costs while maintaining optimal stock across operations.
Reduced Inventory
10–30%
Released Capital
5–15%
Higher Turnover
Improved
Explore Solution
The Problem
Excess inventory, stock shortages, and tied-up working capital increase costs and reduce cash flow.
Solution
• Track inventory turnover
• Optimize safety stock
• Analyze ABC/XYZ items
• Monitor inventory days
Business Example
A 15% inventory reduction can release $3M in cash from $20M of inventory assets without affecting production continuity.
Demand
Forecasting AI
Forecast demand using AI to improve inventory and production planning.
Better Forecasts
20–50%
Lower Inventory
10–20%
Smarter Planning
Improved
Explore Solution
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solution
• Analyze Customer Orders
• Track Seasonal Trends
• Evaluate Sales Promotions
• Forecast Future Demand
Business Example
Reducing forecast error from 35% to 20% lowers inventory, reduces stockouts, and improves production planning.
Supply Chain Control Tower
Monitor suppliers and shipments to prevent costly supply chain disruptions.
Fewer Shortages
10–25%
Faster Response
20–40%
Better Visibility
Real-Time
Explore Solution
The Problem
Supplier delays, material shortages, and limited visibility disrupt production and increase operational risks.
Solution
• Monitor supplier performance
• Track shipment status
• Analyze lead times
• Detect supply risks
Business Example
Avoiding one production stoppage can save $100K–$1M+ for automotive manufacturers per incident.
Manufacturing Cost (COGS) Analytics
Track production costs to improve margins and manufacturing profitability.
Higher Gross Margin
1–5%
Reduced Costs
Reduced
Cost Transparency
Improved
Explore Solution
The Problem
Unknown margin leakage and rising production costs reduce profitability and limit business growth.
Solution
• Analyze material costs
• Monitor labor expenses
• Track machine costs
• Measure yield losses
Business Example
A 2% gross margin improvement can increase annual profit by $2M for a $100M manufacturer.
Energy Monitoring & Optimization
Monitor energy usage to reduce costs and improve operational efficiency.
Lower Energy Costs
5–20%
Higher Efficiency
Improved
Peak Demand Control
Optimized
Explore Solution
The Problem
Rising energy costs and limited visibility increase operating expenses and reduce manufacturing efficiency.
Solution
• Monitor energy consumption
• Track machine efficiency
• Detect peak demand
• Optimize energy usage
Business Example
Reducing energy costs by 10% can save $500K annually for manufacturers spending $5M on energy.
Real-Time Machine Floor Monitoring
Monitor production in real time to detect issues before delays occur.
Higher Productivity
5–15%
Faster Issue Detection
Real-Time
Lower Downtime
Reduced
Explore Solution
The Problem
Production issues discovered too late increase downtime, scrap, and missed delivery deadlines.
Solution
• Monitor live production status
• Track real-time throughput
• Detect downtime instantly
• Send automated alerts
Business Example
Detecting issues in 5 minutes instead of 3 hours helps prevent scrap, downtime, and missed orders.
AI Production Yield Optimization
Increase production yield using AI to reduce waste and material losses.
Improved Yield
2–10%
Less Material Waste
Reduced
Better Process Control
Improved
Explore Solution
The Problem
Poor production yields and excess material waste reduce profitability and increase manufacturing costs.
Solution
• Analyze machine settings
• Evaluate raw materials
• Monitor environmental factors
• Optimize production yield
Business Example
Increasing yield from 92% to 95% can generate hundreds of thousands annually for food manufacturers.
Safety & ESG
Analytics
AI system that predicts failures before they even actually happen.
Fewer Incidents
20–50%
Faster ESG Reports
Improved
Better Compliance
Enhanced
Explore Solution
The Problem
Safety incidents and complex ESG reporting increase risks, costs, and regulatory compliance efforts.
Solution
• Track safety incidents
• Monitor near misses
• Measure ESG metrics
• Automate ESG reporting
Business Example
Avoiding one serious safety incident can save $50K–$500K+ while reducing long-term operational risk.
Procurement & Sourcing Analytics
Analyze procurement data to reduce costs and improve supplier performance.
Reduced Spend
3–10%
Better Suppliers
Improved
Higher Compliance
Enhanced
Explore Solution
The Problem
Supplier price increases and maverick spending raise procurement costs and reduce contract compliance.
Solution
• Evaluate supplier performance
• Analyze price variance
• Monitor contract compliance
• Detect off-contract spending
Business Example
Reducing procurement costs by 5% can save $1.5M annually on $30M in annual purchasing spend alone.
AI Knowledge Assistant for Operations
Use AI to find answers, solve issues, and speed employee onboarding.
Faster Support
30–70%
Faster Onboarding
20–50%
Shared Knowledge
Centralized
Explore Solution
The Problem
Critical knowledge stays with employees, slowing onboarding, troubleshooting, and daily production support.
Solution
• Search operating procedures
• Find maintenance records
• Answer production questions
• Guide troubleshooting steps
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.
Predictive
Maintenance
AI system that predicts failures before they even actually happen.
Reduced Downtime
20–50%
Upkeep cost decrease
10–30%
Asset lifetime extension
20–40%
Explore Solution
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solutions
• Predict equipment failures
• Reduce unplanned downtime
• Lower maintenance costs
• Extend equipment lifetime
Business Example
Reducing downtime by 200 hours annually can save up to $2M for plants with 50 production lines.
OEE & Reliability
Dashboard
Improve equipment utilization with real-time production visibility.
Higher Utilization
5–15%
Higher Throughput
5–20%
Faster Issue Detection
Faster
Explore Solution
The Problem
Low OEE, hidden bottlenecks, and poor equipment utilization reduce overall production efficiency and profitability.
Solution
• OEE metrics in dashboard
• Bottlenecks in real time
• MTBF and MTTR across assets
• Efficiency with insights
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 with AI-driven planning.
Higher Throughput
10–25%
Better Schedule
15–30%
Balanced Workloads
Improved
Explore Solution
The Problem
Frequent rescheduling, bottlenecks, and missed deadlines reduce efficiency and limit manufacturing capacity.
Solution
• Optimize production sequence
• Allocate resources efficiently
• Improve labor planning
• Balance machine loading
Business Example
A 10% throughput increase can add 1,000 units of daily production capacity to a factory producing 10,000 units.
Demand
Forecasting AI
Forecast demand using AI to improve inventory and production planning.
Better Forecasts
20–50%
Lower Inventory
10–20%
Smarter Planning
Improved
Explore Solution
The Problem
Unexpected equipment failures cause costly downtime, disrupt production, and drive up maintenance costs.
Solution
• Analyze Customer Orders
• Track Seasonal Trends
• Evaluate Sales Promotions
• Forecast Future Demand
Business Example
Reducing forecast error from 35% to 20% lowers inventory, reduces stockouts, and improves production planning.
Inventory & Working Capital Dashboard
Reduce inventory costs while maintaining optimal stock across operations.
Reduced Inventory
10–30%
Released Capital
5–15%
Higher Turnover
Improved
Explore Solution
The Problem
Excess inventory, stock shortages, and tied-up working capital increase costs and reduce cash flow.
Solution
• Track inventory turnover
• Optimize safety stock
• Analyze ABC/XYZ items
• Monitor inventory days
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 data to reduce costs and improve supplier performance.
Reduced Spend
3–10%
Better Suppliers
Improved
Higher Compliance
Enhanced
Explore Solution
The Problem
Supplier price increases and maverick spending raise procurement costs and reduce contract compliance.
Solution
• Evaluate supplier performance
• Analyze price variance
• Monitor contract compliance
• Detect off-contract spending
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 before delays occur.
Higher Productivity
5–15%
Faster Issue Detection
Real-Time
Lower Downtime
Reduced
Explore Solution
The Problem
Production issues discovered too late increase downtime, scrap, and missed delivery deadlines.
Solution
• Monitor live production status
• Track real-time throughput
• Detect downtime instantly
• Send automated alerts
Business Example
Detecting issues in 5 minutes instead of 3 hours helps prevent scrap, downtime, and missed orders.
Supply Chain Control Tower
Monitor suppliers and shipments to prevent costly supply chain disruptions.
Fewer Shortages
10–25%
Faster Response
20–40%
Better Visibility
Real-Time
Explore Solution
The Problem
Supplier delays, material shortages, and limited visibility disrupt production and increase operational risks.
Solution
• Monitor supplier performance
• Track shipment status
• Analyze lead times
• Detect supply risks
Business Example
Avoiding one production stoppage can save $100K–$1M+ for automotive manufacturers per incident.
Safety & ESG
Analytics
AI system that predicts failures before they even actually happen.
Fewer Incidents
20–50%
Faster ESG Reports
Improved
Better Compliance
Enhanced
Explore Solution
The Problem
Safety incidents and complex ESG reporting increase risks, costs, and regulatory compliance efforts.
Solution
• Track safety incidents
• Monitor near misses
• Measure ESG metrics
• Automate ESG reporting
Business Example
Avoiding one serious safety incident can save $50K–$500K+ while reducing long-term operational risk.
Manufacturing Cost (COGS) Analytics
Track production costs to improve margins and manufacturing profitability.
Higher Gross Margin
1–5%
Reduced Costs
Reduced
Cost Transparency
Improved
Explore Solution
The Problem
Unknown margin leakage and rising production costs reduce profitability and limit business growth.
Solution
• Analyze material costs
• Monitor labor expenses
• Track machine costs
• Measure yield losses
Business Example
A 2% gross margin improvement can increase annual profit by $2M for a $100M manufacturer.
Energy Monitoring & Optimization
Monitor energy usage to reduce costs and improve operational efficiency.
Lower Energy Costs
5–20%
Higher Efficiency
Improved
Peak Demand Control
Optimized
Explore Solution
The Problem
Rising energy costs and limited visibility increase operating expenses and reduce manufacturing efficiency.
Solution
• Monitor energy consumption
• Track machine efficiency
• Detect peak demand
• Optimize energy usage
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 speed employee onboarding.
Faster Support
30–70%
Faster Onboarding
20–50%
Shared Knowledge
Centralized
Explore Solution
The Problem
Critical knowledge stays with employees, slowing onboarding, troubleshooting, and daily production support.
Solution
• Search operating procedures
• Find maintenance records
• Answer production questions
• Guide troubleshooting steps
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.
Drive Manufacturing Performance With Our Insights
We offer business analytics solutions for production that enable seamless coordination between finance, operations, procurement, safety, and automation.
When data is not synchronized
- reports contain discrepancies and require manual verification,
- decisions are delayed due to a lack of up-to-date metrics,
- costs and inventory are difficult to control within a single system,
- production planning is based on incomplete or inaccurate data.
We build a system in which
- ERP, MES, and SCM data is unified in one structure,
- metrics are calculated using a consistent logic,
- reports are generated automatically without manual processing,
- analytics reflect the actual state of processes within the company.
Forget about manually verifying reports and data discrepancies. Work with accurate metrics and make decisions without delays.
Solutions for Production Data Analysis: Dashboards for Daily Management
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.
How our manufacturing data analytics company implements analytics in dashboards
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.
Book a Free Session for a Personalized Manufacturing Analytics Plan
During this 30-minute consultation, we’ll work together to identify which manufacturing
data analytics solutions can be applied to your processes.
Or text us via Messenger
HOW MANUFACTURING DATA ANALYTICS SERVICES ENHANCE PRODUCTION RESILIENCE
Production Process
Analytics
- Real-time monitoring of equipment utilization and plan fulfillment.
- Identification of downtime, bottlenecks, and deviations in production cycles.
- Comparison of planned and actual metrics for stable process operation.
Inventory and Supply Chain Analytics
- Monitoring of inventory levels and material turnover without manual reconciliation.
- See how suppliers perform over time and where delivery schedules start to slip.
- Catch early signs of shortages, overstock, and delays across your logistics.
Production Quality
Analytics
- Monitoring of quality metrics at all stages of production.
- Identification of causes of defects and deviations in processes.
- Verification of compliance with standards and technical requirements.
Cost and Efficiency
Analytics
- Analysis of cost structure by process and product.
- Identification of sources of cost overruns and inefficient resource utilization.
- Assessment of the impact of costs on production profitability.
Sales and Demand
Analytics
- Analysis of product demand across different segments and regions.
- Determining the profitability of products and sales channels.
- Identifying market changes to adjust production plans.
Equipment compliance analytics
- Predicting equipment failures based on historical data.
- Planning maintenance without downtime.
- Generating reports to ensure compliance with regulatory requirements.
Why Companies Choose Our Data and Analytics Services for Manufacturing
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.
Implemented BI Analytics Solution
For Manufacturing
Steelite International
92% reduction in reporting preparation time
Transition from manual preparation to automated report generation—from 10 days to daily updates.
65% expansion of analytical coverage
Transition from local reporting to global coverage spanning the U.S., the U.K., Canada, Europe, and Australia.
99% data accuracy in BI reports
Reconciliation of metrics with financial statements and elimination of discrepancies.
4× faster decision-making
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.
Sign up for a consultation and get a clear analytics plan for your production
During our conversation, we’ll determine which metrics to track, how to consolidate data from your systems, and where to start so you can see results right away.
Or text us via Messenger
Technologies and approaches we use for manufacturing analytics
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:
- Cloud platforms. Azure, AWS, and Google Cloud are used to deploy infrastructure, store data, and ensure the stable operation of analytics.
- Data warehouses and lakehouse solutions. Snowflake, Azure Data Lake, and Databricks are used to store and organize production, financial, and logistics data in one place.
- Data integration and processing (ETL/ELT). Tools like Azure Data Factory and dbt manage data flows, from ingestion to transformation and regular updates.
- Business analytics tools. Power BI and Tableau support dashboards and provide access to up-to-date metrics for daily decisions.
- Streaming data processing. Kafka, Azure Event Hubs, and similar solutions support scenarios where a rapid response to changes in production is critical.
- Databases of various types. PostgreSQL and MySQL handle structured data, while MongoDB or Redis are used when the project requires flexibility or fast access.
- Integration via APIs and automation. APIs connect systems, while tools like Power Automate or Azure Functions support automated data exchange.
- Data quality control. Metric validation, calculation reconciliation, and indicator stability are ensured at the level of models and pipeline processes.
reliable data performance in production.
How Manufacturers Turn Data into Better Decisions
Healthcare
“Dobrobut” clinics network
Result:
- Clinic's directors got daily updated P&L report;
- The management uses daily dashboard with budget/actual analysis on operational indicators;
- Dashboards combine data from ERP and the Doktor Eleks medical system.
Logistics
Meest China
Result:
- Dashboards combine data from ERP and CRM;
- Routes margin is automaticaly calculated in dashboards and monitored every day by management;
- Daily generated Profit & Loss report;
Manufacturing
Steelite International USA
Result:
- Automated reporting, reducing turnaround from 10 days to overnight.
- Scaled visibility from regional to global (US, UK, Canada, Europe, Australia).
- Centralized data enabled data-driven decisions on a weekly cadence instead of monthly.
Industry-focused case studies designed for your needs
How manufacturing companies achieve results with our analytics
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.
Analysis
In the first stage, our experts analyze the current state of production data. They verify:
- the completeness of data in the systems,
- the consistency of data formats and types,
- the accuracy of calculations and business logic,
- and the consistency of metrics across departments.
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:
- data consistency between all systems,
- complete integration of all data sources,
- synchronization of periods and key indicators,
- correctness of data transfer between systems.
The result: you work with consistent data without discrepancies between systems.
Logic
After consolidating the data, specialists establish a unified calculation logic for the metrics. Data engineers determine:
- the rules for calculating key metrics,
- the alignment of metrics with business logic,
- the consistency of metrics across departments,
- and the accuracy of formulas and dependencies.
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 structure of metrics in reports,
- the display of metrics on dashboards,
- filters and time-period settings,
- and data access for different roles.
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:
- connection of data sources,
- configuration of the update schedule,
- monitoring of system performance,
- and consistent availability of metrics.
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:
- configuration of access rights and roles,
- training on how to use dashboards,
- verification of metric accuracy,
- support and refinements as needed.
The result: you work with analytics in a convenient format.
Testimonials for Our Business Intelligence Services
Manufacturing
Steelite International USA
“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
Distribution & Wholesale
Site Landscape Development
“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
Logistics
Self-Storage Facilities in 6 countries
“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
Retail
“HELEN MARLEN” fashion boutiques
«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.
HoReCa
“Salateira” restaurants chain
“The project helps us quickly and remotely see the information available for the company all over the world, besides it is updated daily.”
Olena Vasylevska
Chief Financial Officer of the chain of restaurants "Salateira"
IT companies
SPAN
“Certainly, the automation of business analysis will contribute to the flexibility and efficiency of making important decisions for the сompany while maintaining high standards of information security.”
Oleg Avilov
CEO at SPAN
IT companies
The App Solutions
“The work delivered by Cobit Solutions met all expectations and the team demonstrated their skill and expertise well. I highly recommend the services and look forward to future collaborations.”
Kateryna Ishchuk
Partnerships Director The App Solutions
Distribution & Wholesale
Frendt LLC
“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
IT companies
Alpha Serve
“The developed perfectly looking BI templates allow our clients to quickly build their first report in Power BI and include the most relevant KPIs for reports.”
Anna Odrynska
Chief Strategy Officer at Alpha Serve
Healthcare
“Dobrobut” clinics chain
“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
LEAVE A REVIEW FOR OUR Manufacturing Data & AI Solutions for Data-Driven Production
Get Your Custom Manufacturing Analytics Solution
Contact us for a consultation—we’ll show you how to consolidate data, align metrics, and build analytics that work seamlessly into your daily processes.
Or text us via Messenger
FAQs About Manufacturing Business
Analytics Solutions
How is the price for consulting on production data analysis formed?
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.
What timeline should you expect when implementing manufacturing business analytics solutions?
First results often appear within 2–4 weeks. Simpler setups move faster, while more complex projects with multiple data sources can take several months.
Which production data sources can be integrated?
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.
Can your manufacturing analytics solutions connect to our existing ERP?
Yes. The platform integrates with most ERP systems and aligns metrics with your existing data, so reporting remains consistent across systems.
How do manufacturing data analytics services improve production decisions?
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.