The Three Most Requested Customized Made2Manage ERP Reports

For manufacturers using Made2Manage ERP, reporting is where data becomes actionable information. While the standard application provides a robust collection of inquiries and reports, many organizations eventually discover that their most important business questions require a more tailored approach.

Over the years, three custom reports have consistently risen to the top of customer wish lists: the Inventory "As-Is" Report, the Inventory Turns Report, and the PO Price Variance Report. Each report addresses a different aspect of operational performance, yet all share a common objective: helping manufacturers make better decisions with greater confidence.

1. Inventory "As-Is" Report: A Complete Snapshot of Inventory

Inventory is often one of the largest assets on a manufacturer's balance sheet. Yet many organizations struggle to get a clear, consolidated picture of their current inventory position.

This is where the Inventory "As-Is" Report becomes invaluable.

At its core, the report provides a comprehensive snapshot of inventory exactly as it exists at a specific point in time. Rather than navigating through multiple inquiries, screens, or locations, users can view critical inventory information within a single report.

Typical data elements may include:

· Part number

· Description

· Product class

· Warehouse location

· Quantity on hand

· Available quantity

· Allocated quantity

· Unit cost

· Extended inventory value

The true value of the Inventory "As-Is" Report lies in its simplicity. Manufacturing leaders can quickly answer questions such as:

· What inventory do we currently have?

· Where is it located?

· What is it worth?

· How much inventory is available for production or customer demand?

Because the report combines operational and financial perspectives, it is frequently used by multiple departments. Production teams use it to understand material availability. Purchasing teams use it to evaluate replenishment needs. Finance teams use it to validate inventory valuation and support month-end activities.

Another reason this report is highly requested is flexibility. Many organizations require additional fields, custom sorting, filtering, grouping, or warehouse-specific views that are not available within standard reporting options. A customized version allows companies to present information exactly the way their business consumes it. For companies focused on inventory optimization, the Inventory "As-Is" Report often becomes a daily management tool. It provides immediate visibility into excess inventory, material shortages, slow-moving items, and high-value inventory concentrations.

2. Inventory Turns Report: Measuring Inventory Efficiency

Knowing what inventory you have is important. Knowing how efficiently you use it is even more valuable.

The Inventory Turns Report helps organizations evaluate how effectively inventory is being converted into revenue-generating activity by measuring how many times inventory is consumed, sold, or replaced during a specific period. Inventory turns are one of the most closely watched metrics in manufacturing because they provide insight into inventory management performance and working capital utilization.

Higher inventory turns often indicate:

· Strong inventory management

· Efficient purchasing practices

· Healthy demand alignment

· Lower carrying costs

Lower inventory turns may reveal:

· Excess inventory

· Obsolete materials

· Inaccurate forecasting

· Purchasing inefficiencies

A customized Inventory Turns Report typically goes beyond a simple calculation. It provides meaningful analysis that helps decision-makers identify trends and opportunities.

Depending on business requirements, the report may include:

· Inventory turns by part number

· Inventory turns by product family

· Inventory turns by warehouse

· Historical trends

· Average inventory values

· Annualized turnover ratios

Many companies use the report to identify slow-moving inventory that ties up cash and warehouse space. By highlighting items with low turnover, organizations can prioritize actions such as inventory reduction programs, demand planning improvements, or purchasing adjustments.

The report is equally valuable for executive leadership. Inventory turns serve as a high-level indicator of operational health and supply chain effectiveness. Improvements in inventory turns often translate directly into reduced carrying costs and improved cash flow.

One of the reasons manufacturers request custom versions of this report is that inventory strategies vary significantly from business to business. Some companies focus on finished goods turnover, while others are more interested in raw materials or work-in-process inventory. Custom reporting allows the captured data to align with specific operational goals. Ultimately, the Inventory Turns Report helps organizations move beyond simply managing inventory quantities and begin managing inventory performance.

3. PO Price Variance Report: Controlling Purchasing Costs

In today's manufacturing environment, material costs can fluctuate rapidly. Supplier pricing changes, market volatility, transportation expenses, and sourcing challenges can all impact profitability.

The PO Price Variance Report is designed to provide visibility into those changes.

This report compares current purchase order pricing against historical contract pricing and standard costs with a straightforward objective: identify and quantify purchasing cost variances before they significantly impact margins.

A customized PO Price Variance Report may include:

· Supplier information

· Purchase order number

· Part number

· Previous purchase price

· Current purchase price

· Variance amount

· Variance percentage

· Extended variance impact

For purchasing teams, the report serves as an early warning system. Significant increases in material costs can be identified quickly, allowing buyers to investigate pricing discrepancies, negotiate with suppliers, or explore alternative sourcing options.

For finance and leadership teams, the report provides insight into cost trends that directly affect profitability. Even seemingly small price increases can have a substantial impact when applied across high-volume purchases.

The report can also uncover positive opportunities. Organizations frequently discover suppliers that are providing favorable pricing trends or identify commodities whose costs have decreased over time.

One of the most powerful aspects of the PO Price Variance Report is accountability. Instead of relying on anecdotal observations or supplier notifications, companies gain objective, data-driven visibility into purchasing performance.

Customizations often make the report even more valuable. Manufacturers may want to compare against the last purchase order, average purchase price over a specified period, negotiated contract price, or standard cost within Made2Manage. Each approach supports different business objectives, making customization essential.

In an era when profitability can be heavily influenced by material costs, the PO Price Variance Report provides critical insight into one of the largest drivers of manufacturing expenses.

Why These Reports Continue to Be Top Requests

Although each report serves a distinct purpose, they collectively address three core manufacturing priorities:

1. Inventory Visibility through the Inventory "As-Is" Report.

2. Inventory Performance through the Inventory Turns Report.

3. Cost Control through the PO Price Variance Report.

Together, they provide a more complete picture of operational health. Organizations can see what inventory they possess, how effectively they use it, and what it costs to replenish it. Perhaps most importantly, these reports transform data into actionable intelligence. Rather than spending time gathering information from multiple sources, decision-makers receive focused insights that support faster and more informed decisions.

Final Thoughts

Made2Manage ERP provides a strong foundation for managing manufacturing operations, but every organization has unique reporting requirements. The continued popularity of the Inventory "As-Is" Report, Inventory Turns Report, and PO Price Variance Report demonstrates the ongoing need for tailored visibility into inventory and purchasing performance.

Whether the goal is reducing excess inventory, improving cash flow, controlling material costs, or enhancing operational efficiency, these three reports consistently deliver meaningful business value. That is why they remain among the most requested custom reporting solutions for Made2Manage ERP users today.

The best manufacturers do not simply collect data; they use it to drive decisions. By investing in customized reporting around inventory visibility, inventory efficiency, and purchasing cost management, companies can gain clearer insights, respond faster to change, and ultimately improve profitability across the enterprise.

AI-Assisted Production Scheduling: Unlocking Greater Throughput, Agility, and Efficiency

Manufacturers today operate in an increasingly complex environment. Customer expectations are rising, supply chains remain unpredictable, labor shortages continue to challenge operations, and competitive pressures demand greater efficiency than ever before. In this landscape, production scheduling has evolved from a routine planning function into a strategic capability that directly impacts profitability, customer satisfaction, and operational performance.

Traditional scheduling methods often rely on spreadsheets, static planning tools, and manual decision-making processes that struggle to keep pace with the speed and complexity of modern manufacturing operations. As production environments become more dynamic, organizations are turning to Artificial Intelligence (AI) to help improve scheduling accuracy, optimize resources, and maximize throughput.

AI-assisted production scheduling is rapidly becoming one of the most practical and impactful applications of artificial intelligence within manufacturing ERP systems.

The Challenge with Traditional Production Scheduling

Production scheduling is fundamentally about answering several critical questions:

• What should be produced?

• When should production occur?

• Which resources should perform the work?

• How can constraints be managed?

• What is the most efficient sequence of operations?

While these questions sound straightforward, reality is far more complicated.

Manufacturers must account for numerous variables simultaneously, including machine availability, labor capacity, material shortages, maintenance schedules, customer priorities, setup times, production lead times, inventory levels, and delivery commitments. A minor disruption, such as delayed material shipment or an unexpected machine outage, can trigger a cascade of scheduling conflicts across the entire operation.

Traditional scheduling tools often require planners to make manual adjustments whenever conditions change. These adjustments can consume valuable time while introducing the risk of errors and missed opportunities.

How AI Changes the Game

AI-assisted scheduling leverages machine learning, predictive analytics, and advanced optimization algorithms to evaluate thousands of scheduling possibilities in seconds. Rather than simply generating a schedule, AI continuously analyzes available data to identify the most effective production plan based on current operating conditions and business objectives.

Integrated with an ERP system, AI can assess information from across the organization, including:

• Sales orders

• Production orders

• Inventory levels

• Capacity data

• Work center performance

• Supply chain information

• Historical production trends

  
  

  

  
  

This broader visibility enables AI to make recommendations that balance efficiency, throughput, customer commitments, and operational constraints. The result is a scheduling process that becomes more intelligent, responsive, and adaptable over time.

Smarter Scheduling Decisions

Traditional scheduling approaches often rely on static rules or planner experience. While experienced planners bring valuable knowledge to the process, they simply cannot evaluate the vast number of scheduling scenarios that AI can process almost instantly.

AI can analyze multiple constraints simultaneously and recommend schedules that:

• Reduce idle time

• Minimize setup changes

• Improve machine utilization

• Balance workloads across production lines

• Prioritize high-value customer orders

Instead of spending hours building schedules, planners can focus their time on higher-level decision-making and strategic improvements.

Maximizing Manufacturing Throughput

Throughput is often one of the most important metrics for manufacturing organizations. Every minute of machine downtime, production delay, or inefficient resource allocation can reduce total output and impact profitability. AI scheduling systems continuously monitor production conditions and identify opportunities to increase throughput by:

• Sequencing jobs more effectively

• Reducing bottleneck impacts

• Improving work center utilization

• Minimizing changeover time

• Aligning resources with production demand

  
  

  

  
  

When equipment, materials, and labor are coordinated more effectively, manufacturers can produce more output using the same resources. This improvement translates directly into increased revenue potential and better operational performance.

Proactive Disruption Management

Manufacturing schedules rarely unfold exactly as planned. Traditional scheduling often involves reactive firefighting after disruptions have already occurred.

Unexpected events can include:

• Equipment failures

• Supplier delays

• Material shortages

• Employee absences

• Urgent customer requests

• Quality issues

AI-assisted scheduling introduces a more proactive approach.

By analyzing historical patterns and real-time operational data, AI can identify potential disruptions before they significantly impact production. For example, AI may recognize emerging bottlenecks, predict resource shortages, or flag production risks that could jeopardize delivery commitments. Early visibility allows planners to make adjustments before minor issues become major operational challenges.

Better Resource Utilization

Manufacturing leaders are constantly challenged to do more with existing resources.

AI helps organizations maximize utilization across:

Equipment AI can identify underutilized machines and recommend workload adjustments that better distribute production demand.

Labor Work schedules can be optimized based on skills, certifications, shift availability, and production requirements.

Materials AI can help align production schedules with inventory availability, reducing shortages and excess inventory accumulation.

Capacity By balancing workloads across work centers, AI helps prevent some resources from becoming overloaded while others remain idle.

These improvements contribute to lower operating costs while improving productivity across the organization.

Improving On-Time Delivery Performance

Customer satisfaction often depends on one critical factor: reliability.

Customers want confidence that products will be delivered on time and as promised. When schedules are built on incomplete or outdated information, manufacturers face increased risks of missed deadlines. AI helps improve delivery performance by continuously evaluating changing conditions and adjusting schedules accordingly.

Benefits include:

• More accurate completion estimates

• Better lead-time forecasting

• Improved order prioritization

• Reduced scheduling conflicts

• Enhanced customer communication

Organizations that consistently meet delivery commitments build stronger customer relationships and gain a competitive advantage in the marketplace.

AI and ERP: A Powerful Combination

The true power of AI scheduling emerges when integrated directly with an ERP platform. ERP systems already serve as the operational backbone of manufacturing organizations by managing data across inventory, purchasing, production, sales, and finance. AI enhances ERP capabilities by transforming that data into actionable intelligence.

Together, ERP and AI provide:

• Real-time visibility

• Automated decision support

• Predictive insights

• Improved planning accuracy

• Continuous optimization

Instead of operating with disconnected systems and manual processes, manufacturers gain a unified environment that supports smarter operational decisions.

Preparing for the Future of Manufacturing

The manufacturing industry is entering an era where agility, responsiveness, and efficiency are becoming critical competitive differentiators. Organizations that continue relying solely on manual scheduling practices may find it increasingly difficult to keep pace with production complexity and market demands.

AI-assisted production scheduling is not about replacing planners or human expertise. Rather, it empowers planning teams with better information, faster analysis, and more effective decision-support capabilities. The most successful manufacturers will be those that combine experienced personnel, robust ERP systems, and intelligent AI technologies to create more adaptive and resilient operations.

Final Thoughts

AI-assisted production scheduling represents a significant opportunity for manufacturers seeking to improve throughput, maximize resources, reduce disruption, and enhance customer satisfaction.

By leveraging AI within an ERP environment, organizations can move beyond reactive scheduling practices and embrace a more intelligent, data-driven approach to production planning.

As manufacturing continues to evolve, AI-enabled scheduling will become an increasingly crucial tool for companies pursuing operational excellence, sustainable growth, and long-term competitiveness.

Cincinnati Software Solutions helps manufacturers explore practical ways to leverage AI within their ERP systems to create smarter schedules, improve efficiency, and drive better business outcomes. If you’d like to have a no-commitment conversation about emerging manufacturing technologies, email us at css.general@cincysoftware.com to schedule a time to connect.

Power BI: Connected Data. Smarter Decisions. Greater Results.

Every organization has data. The challenge is not collecting it. The challenge is making sense of it.

Organizations today are overwhelmed with data from ERP systems, CRMs, spreadsheets, databases, and cloud applications. Transforming corporate data silos into meaningful insights that drive action is where Power BI separates itself from traditional reporting tools. Bringing together data from multiple business systems into a single, unified model, rather than working with isolated reports from different platforms, Power BI creates a connected ecosystem that delivers actionable intelligence directly to decision-makers throughout the organization.

Instead of waiting for new reports to answer follow-up questions, leadership can investigate trends, uncover root causes, and have a complete view of business performance with just a few clicks. This empowers faster decision-making and promotes greater adoption of analytics across the organization.

Connect Every Data Source. Reveal Every Insight.

When data remains siloed, business decisions are often based on incomplete information.

With Power BI:

●              Leadership gains a single version of the truth.

●              Departments operate from shared metrics.

●              Data discrepancies become easier to identify.

●              Reporting processes become significantly faster.

●              Users spend less time gathering information and more time acting on it.

The results are greater confidence, better visibility, and smarter business decisions.

Go Beyond Charts. Explore Insights. 

Collecting and organizing data is only the first step. The next challenge is helping people understand it.

Power BI transforms this experience through highly interactive visualizations. Instead of presenting information as fixed reports, Power BI creates dynamic dashboards that encourage exploration.

Users can:

• Drill into details.

• Filter information instantly.

• Compare performance across regions.

• Analyze trends over time.

• Investigate root causes of business issues.

• Explore relationships between metrics.

Every click provides additional context. No additional report requests. No waiting. Just answers. 

Perhaps most importantly, Power BI transforms reporting from a passive activity into an active discovery process. Instead of simply seeing what happened, users gain the ability to understand why it happened. That distinction can significantly improve operational performance and strategic planning. 

Share Insights, Not Spreadsheet Versions. 

For years, organizations have struggled with report distribution. A report gets created. Someone exports it to Excel or PDF. The file is emailed to stakeholders. A revision is made. A newer version is emailed. Before long, there are multiple copies circulating throughout the company. 

Which version is correct? Who has the latest information? Has everyone received the update? 

This process creates confusion, inefficiency, and risk. Power BI addresses this challenge through secure cloud-based distribution. Instead of emailing files, organizations publish reports once and distribute controlled access to authorized users. The report exists in a centralized environment while stakeholders access the same real-time information from virtually any device. 

• Always current information.

• Improved security and version control.

• Enhanced accessibility through a variety of portals and devices.

• Simplified governance by controlling report definitions, metrics, and business rules.

All of this drives organizational alignment. Executives gain instant visibility into strategic metrics. Managers can monitor operational performance. Teams can collaborate around common information. Stakeholders can access critical insights exactly when they need them. 

The result is a smarter, more responsive organization.