IBM PEX for New Item Setup uses a proprietary IBM Process Excellence Framework to help redesign and enable a faster, more compliant, and user-friendly experience. Retail business teams can identify process variations and impact on KPIs for Efficiency, Experience, and Compliance across various attributes to continuously improve performance. The application helps them do this by Benchmarking and monitoring performance improvements across the New Item Setup process identifying high-impact areas for automation and process optimization
This is where IBM and Celonis Combine their Strengths:
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Reduced Cycle Time.<!— htmlmin:ignore —>
Reduced Rework Rate.<!— htmlmin:ignore —>
Reduced Quality Issues.<!— htmlmin:ignore —>
Reduced Pending Cases(Items stuck in the warehouse, Items Approved but not activated).<!— htmlmin:ignore —>
The Overview dashboard uses the Process Excellence framework to provide Efficiency, Compliance, and Customer Experience goals and status in a quick, easy-to-read view. The current values of the KPIs are shown alongside the targeted values - enabling the Head of the New Item Setup to make decisions, look deeper into problem areas that may be impacting critical KPIs, and direct the team on corrective actions.
The Trends view shows the progression of KPIs over time and helps to quickly identify performance deviations and cyclicity of KPIs. It can reveal clues where root cause investigation may be needed.
The Rework Analysis facilitates the identification of efficiency bottlenecks that may lead to delays due to rework that happened during the process. These insights guide process improvements.
The Missing Store-ties Analysis facilitates the identification of store-ties, or where the product has/has not made it to the shelf. Missing Store-ties can lead to loss of sales making these insights especially relevant to broader business benefits. Understanding where and by whom these oversights are occurring, helps determine corrective actions.
The Setup In-progress Analysis helps identify the cause of pending setup so teams can take action proactively to reduce the blocker and complete the setup successfully.
The Sample Quality Issue Analysis helps identify issues that cause the return of samples received. Reasons for return can then be shared with vendors/providers to proactively reduce returns.
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