Insights
How we think about systems, data flow, and AI,
and how it plays out in real operations.
Articles
Thought Leadership
Practical perspectives on systems, integration, data flow, and AI.
Why your month-end report disagrees with the floor
Four common places a manufacturing close drifts from what the shop actually produced, and how to tell which one you have.
Map the process before you automate it
Automating a workaround just makes it permanent. A short argument for documentation first.
Customizations that survive an upgrade
The difference between a change that costs you once and one that costs you every release.
Made2Manage BOM and costing reports
Costed and exploded BOMs, a cost estimating system we built for quoting, and part availability across on hand, committed and on order.
Made2Manage tools we built
Communication Center, Workflow Management and Sales Order Import: three products we built to fill gaps in Made2Manage.
Made2Manage production reports
Four reports we built to show what the floor is building, where it is scheduled, who worked on it, and how the plant is performing.
Made2Manage quality reports
Two reports we built: one finds everywhere else a defect could be, the other shows which vendors deliver when they promised.
Made2Manage sales reports
Backlog, net bookings, commission liability and gross margin by order, including a bookings system we built for ERPs that cannot track bookings on their own.
Skills, tools, and your ERP: where AI should actually touch the data
AI gets useful in a shop when it is given the right things in the right order: written know-how first, live data through controlled tools second, and the power to change anything last.
Case Studies
Proof
Real-world examples of how our approach improves operations.
Outcome
One warehouse across multiple ERP systems
Outcome
Shopify orders straight into the ERP
Outcome
Bills of material moved from Made2Manage to Global Shop
Both our articles and case studies are grounded in the same approach: understanding how a business runs, optimizing core systems, and moving data where it matters.
See our approach