ERP Selection & Implementation Case Studies
Chicago Tube & Iron
Chicago Tube & Iron was at a technology dead-end: Its 30-year-old, green-screen Unix-based operations management system was heavily customized and difficult to maintain and update. While it served the company well for many years through changing business models, it was time for an upgrade
Micro Control
Successful, goal-achieving ERP projects, like Micro Control’s, require structure. At Ultra, this framework is provided by our methodology, which also provides a step-by-step guide for the business transformation journey. Get a close-up look at Micro Control’s ERP journey
Deschutes Brewery
In setting aggressive growth goals Deschutes knew it was time for a change to their ERP system. Learn how Ultra utilized business process improvement, new efficiencies and modern software to give Deschutes the capabilities it needed to open a new brewery.
Evans Food Group Ltd.
Evans Food Group, Ltd. was experiencing growth and had tried to solve the company’s growth challenges through ERP before. By the time they engaged with Ultra Consultants for the ERP selection process, they were considerably overdue for solution upgrades to meet customer demand and business growth.
ERP Blog from Ultra Consultants
What Manufacturers Get Wrong About AI and ERP Integration
AI and ERP integration is an architecture decision, not a feature purchase. See where AI attaches to your stack and what must be true before it pays off.
Why Legacy ERP Systems Are Slowing Manufacturing Agility
Legacy ERP systems rarely fail outright. They slow you down. Measure how long it takes to change a price, add a site or revise a product, and count the cost.
Why Inventory Visibility Remains a Major ERP Challenge
Inventory visibility fails at the transaction, not the report. Here is why ERP systems still miss stock, and what manufacturers must fix to trust the numbers.
How Manufacturers Should Evaluate ERP Systems in 2026
Learn how manufacturers should evaluate ERP systems in 2026, from testing AI claims against data readiness to scoring business fit over feature lists.