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PROFITFLOW / Product intelligence

Find which products contribute margin and which need attention.

A shared record connects sales, engineering, shop-floor teams and management. The agreed scope defines which functions and integrations are enabled.

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ILLUSTRATIVE VIEW · SAMPLE DATA

Recorded margin / Part

RSC-401Company A
28%
HSC-208Company B
20%
FOL-110Company C
8%
RSC-506Company D
−4%
Review RSC-506Compare waste, setup and assembly against the quote.
Conceptual illustration of a corrugated packaging plantPLANT → RECORDS → DECISIONS

THE CONNECTED OPERATION

A percentage does not tell the whole story.

Review margin and profit alongside volume and production time to identify what to investigate.

  1. 01Sales
  2. 02Recorded cost
  3. 03Total profit
  4. 04Time and deviations

01

Customer and part number

Filter by customer, part number, period, box type and order. Keep links to drawings, technical revisions and specifications.

02

Planned and recorded margin

Compare sales, material, setup, conversion, assembly, tooling and logistics. Distinguish complete results from orders with missing costs.

03

Rankings with context

Sort by total profit, margin percentage or profit per unit. A high-margin order does not always generate the highest total profit.

04

AI and evidence-based learning

Ask questions about your data and review record-backed recommendations. Machine learning models depend on historical data quality and volume; people approve changes.

YOUR STARTING POINT

Use ProfitFlow or connect your existing systems.

01 / PROFITFLOW

No MES or WMS yet?

Start with ProfitFlow modules: record production, assembly, stock and costs from compatible computers or tablets.

MESWMSCost Engine
02 / INTEGRATIONS

Already using software?

Connect available ERP, MES, WMS or CRM data through agreed files or interfaces. Keep the tools that work for your team.

ERPCRMExcel / API

Grow in phases

Manual records → validated workflows → integrations → PLCs, sensors or cameras when the use case is viable.

Connections are evaluated for compatibility, available data and agreed scope.

Software that fits your operation.

Scope, configuration, support and future expansions are defined in the proposal. Automation and ML require validated data; no universal savings are promised.

Let’s review your plant →