ERP Selection & Implementation Case Studies

Spirent Communications
Spirent Communications had acquired 5 companies in 5 different locations: California, Hawaii, Canada, New Jersey, and London. Adtech, the Hawaiian company was growing at 100% a year and was operating on a number of Tier III disparate systems.

Full Compass Systems
A legacy software system was in place that primarily supported the telemarketing efforts of the in-house sales organization. The system used an outdated database and was eventually ported to a Linux operation system.

Eclipse Thermal Solutions
At the time of engagement with Ultra, the company was hindered by several stand-alone legacy systems in 8 different global facilities across 3 continents.
Business users were creating their own process improvement projects and custom-built tools to address deficiencies.
There were dozens of independent process initiatives with limited visibility and duplication.

Copperweld
Copperweld was forced into a position of borrowing convertible raw materials from various production runs to meet spikes in demand in another production line.
Copperweld’s Materials Resource Planning (MRP) system did not support visualization of the stock outs or inventory fluctuations that resulted from these practices.
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.



