As a result, a solution is chosen based on a set of features, presentations, or market recommendations, but without being linked to specific operational processes. Already at the implementation stage, it becomes clear that some work scenarios have not been considered, data is not ready, and the requirements of different departments contradict one another. The project begins to accumulate customisations, deadlines shift, and the final result increasingly fails to meet initial expectations.
Projects related to display and space management are particularly sensitive to this. Here, it is not enough to formally "be able to build planograms" or generate reports. It is vital to understand exactly how assortment decisions are made, who is responsible for display accuracy in-store, how often planograms change, and how their execution is monitored. Without this, even a functionally strong solution remains detached from the actual work at the shelf.
Another typical risk is the lack of predefined success criteria. If the project’s start does not establish what changes should occur in turnover rates, product availability, or space manageability, evaluating the impact of the implementation becomes virtually impossible. In such conditions, the system is quickly perceived as a secondary tool rather than a part of the management model.
To avoid this error, the choice of an IT solution should begin not with market research, but with a description of one’s own processes and tasks. A clear understanding of what decisions should be data-driven, which roles are involved, and exactly how the system will be used in the shop and head office allows for the correct project requirements to be set from the outset, avoiding most problems in the subsequent stages.