ERP implementation projects usually stall because businesses underestimate the time and internal management required to align the software with every part of their business. Because an ERP coordinates your entire manufacturing operation, you have to monitor many moving parts at once to achieve a successful rollout.
This takes careful planning, as well as clear communication across all your departments – including sales, accounts, purchasing, stores and production. Overlooking any single part of the process can cause the project to falter.
Lack of buy-in across teams
Many ERP deployments falter because companies treat them as a purely technical IT task. When an IT department or a group of external consultants handle the rollout without consulting the teams that run production, the system is often chosen for theoretical rather than practical reasons. The software might make inventory tracking easier for the accounts team, for example, but force a machine operator to spend more time on admin to log a standard batch of parts.
This issue worsens when organisations concentrate all their training and project planning at the board level. An ERP transition cannot be managed solely from the top down – it must involve your wider operational teams from the start, otherwise knowledge and buy-in becomes siloed among leaders. Real-world examples of this disconnect appear often on online forums. In a Reddit thread on r/ERP, one user shared their frustration as their deadline approached:
“We have a go-live date coming up soon, and they [IT and external consultants] only just enquired how the release of inventory is going to work. They have not involved the inventory manager at all up to this point. Having seen how overlooking key stakeholders at this stage can derail even the most well-planned go-live, I’m not feeling optimistic.”
Migrating inaccurate or messy data
An ERP system only functions well if the data you feed into it is correct. After years of manual entry, your records may not be accurate. You might have duplicate names for the same supplier, outdated part specifications, or inventory counts that do not match what is sitting in your warehouse.
Problems begin when you move this flawed data into a new system. ERP platforms synchronise all of your purchasing, inventory and production information, so if a figure is incorrect in one area, it will automatically show as incorrect in another. Teams using the software for the first time will spot inaccuracies immediately, struggle to trust the new software, and, in the long run, go back to using spreadsheets and paper notes.
Rushing the implementation by skipping the data cleansing stage means you simply digitise your previous mistakes. Manufacturing teams often underestimate how long this step takes, promising to deliver clean spreadsheets in days only to spend months sorting through legacy records. You need to budget realistic time for cleaning data so your implementation schedule stays accurate.