MRPeasy Job Margin by Customer and Order Type

Contract manufacturers using MRPeasy often struggle to calculate net job margin by customer and order type because true profitability data is split between production logs and financial records.

MRPeasy serves as the operational backbone for contract manufacturers, handling production planning, materials requirements, and shop floor scheduling. It tracks how many hours a technician spends on a specific job and which raw materials were consumed. However, MRPeasy is an ERP focused on the factory floor, not a full accounting or HR suite. While it knows that a job took five hours, it does not know the fully burdened cost of the person performing the work, nor does it factor in the fluctuating overhead costs found in QuickBooks or the specific payroll taxes associated with a production run. Without integrating these external data points, the job margin visible in MRPeasy is only a partial estimate.

What MRPeasy Reports Actually Show

In MRPeasy, reporting is centered on manufacturing efficiency and material flow. Users typically rely on the Production Costs report and the Finished Goods report to see estimated versus actual material usage. These reports provide a clear view of bill of materials (BOM) accuracy and scrap rates. You can see the quantity of items produced per job and the direct labor hours logged by operators. There is also a sales module that tracks quotes and invoices. While these reports are excellent for managing WIP (work in progress) and ensuring orders ship on time, they operate within a vacuum. They show the theoretical cost based on fixed hourly rates entered during setup, rather than the actual cash out of the door. This means the margin values shown are static and do not reflect the reality of a business with changing labor markets or rising utility and facility expenses.

The Data MRPeasy Cannot See

The missing half of the profitability equation lives in QuickBooks and your payroll provider. MRPeasy cannot see the "burdened" part of labor - health insurance premiums, 401k matching, and payroll taxes - which can add 20% to 30% to the base hourly rate. It also lacks visibility into indirect costs that fluctuate monthly, such as shop supplies, machine maintenance, or freight costs that were not billed back to a specific customer. When a contract manufacturer takes on a high - volume order for a specific customer type, they might assume a 15% margin based on MRPeasy data, but the reality might be closer to 8% once the QuickBooks overhead is allocated. MRPeasy has the production logs. QuickBooks has the actual spending data. Manufacturers that run this manually by exporting spreadsheets do not catch eroding margins on specific order types until tax season, when it is too late to adjust pricing.

Questions Contract Manufacturers Owners Actually Need Answered

To run a profitable shop, owners need to look past simple production counts and analyze the financial health of every relationship.

• Which customers consistently drive the highest net job margin after accounting for burdened labor?
• Which order types result in the most frequent cost overruns that aren't captured in the BOM?
• What is our true hourly cost per work center when utilities and facility rent are spread across actual job hours?
• Are custom engineering orders more or less profitable than repeat production runs?
• How does the margin on "Rush" orders compare to standard lead time orders once expedited shipping and overtime are factored in?
• Which specific part categories are currently losing money due to unrecorded shop floor waste?

How DataBlueprint Connects MRPeasy and Answers Those Questions

DataBlueprint solves the visibility gap by functioning as a centralized Decision Intelligence layer. It uses a read - only API connection to securely pull data from MRPeasy, QuickBooks, and your payroll system. Instead of simply dumping this into another spreadsheet, DataBlueprint organizes the information into a Knowledge Graph. This Knowledge Graph understands the relationship between a "Job" in MRPeasy and an "Expense" in QuickBooks. This allows you to ask questions in plain English, such as "What was the average margin for medical device orders last month?" and get an instant, accurate answer. The system runs on a private LLM within a dedicated AWS Bedrock environment. Your sensitive manufacturing costs and customer lists are never used to train public models. Furthermore, DataBlueprint provides total transparency; every answer cites the underlying records from MRPeasy and QuickBooks, so you can verify the math. The setup is designed for speed, typically running in one business day. DataBlueprint does not replace MRPeasy; it enhances it by providing the financial context that production software lacks.

Getting Started: Connecting MRPeasy to DataBlueprint

Modern contract manufacturing moves too fast for monthly manual reporting. By connecting MRPeasy to DataBlueprint, you move from reactive guessing to proactive management. You can identify which customers are costing you money and which order types are your most efficient. The implementation requires no coding skills from your team and provides a secure, private environment for your company data. This allows leadership to focus on shop floor improvements and sales strategy rather than hunting for data in mismatched software systems. Model impact with the ROI calculator, then read the Concepts page for how the Knowledge Graph turns MRPeasy's data and QuickBooks expenses into real per-job margin.

Frequently Asked Questions

Why can't I just use the MRPeasy QuickBooks integration?

The standard integration typically handles invoicing and inventory sync, but it does not map granular labor burden or overhead expenses back to specific jobs for deep margin analysis.

Does DataBlueprint change any data in MRPeasy?

No. DataBlueprint uses a read - only connection. It analyzes your data and provides answers without altering any of your production or accounting records.

How is "burdened labor" calculated in this setup?

DataBlueprint pulls total payroll costs (including taxes and benefits) from your payroll software and divides it by the actual hours worked in MRPeasy to find the true cost per hour.

What is an "Order Type" in this context?

This refers to how you categorize work, such as prototype vs. production, or specific industry categories like aerospace vs. consumer electronics, allowing you to see which niches are most profitable.

Is my data shared with OpenAI or other companies?

No. DataBlueprint uses a private instance on AWS Bedrock. Your data remains in a siloed environment and is never used to train any third - party AI models.