Overview
Item Analyzer (Beta) is an AI-powered assistant that provides an on-demand analysis of an individual item. It summarizes key inventory insights in one place, helping planners quickly understand an item's current situation and identify potential risks.
The analysis is generated on demand, stored for quick access, and can be regenerated whenever new insights are required.
Where to find Item Analyzer
Open Items.
Select an item.
Open the Item info sidebar.
Locate the Item Analyzer (Beta) section in General.
The Beta label indicates that the feature is currently in testing and may continue to evolve.
When generated the Item Analyzer becomes it's own section in the item info sidebar.
Click View Full Report to open the complete AI-generated item analysis.
What the analysis includes
Item Analyzer generates a contextual summary based on the available item data, including:
3 KPI's on top: Stock on hand, Days cover, Lead time
Followed by analysis of the following factors:
Current stock situation
Demand trends
Stockout risk
Overstock risk
Forecast uncertainty
Suggested actions for the planner
The analysis is designed to complement existing inventory data by highlighting the most important observations and providing actionable recommendations.
How it works
The analysis is generated when requested.
Once generated:
The results are cached for faster access the next time the item is opened.
The analysis can be regenerated at any time to reflect the latest item data.
Benefits
Item Analyzer helps planners:
Quickly understand an item's current inventory position.
Identify potential risks before they become issues.
Spot demand changes and customer purchasing patterns.
Make more informed replenishment decisions.
Reduce the time spent reviewing multiple reports and metrics.
Notes
Item Analyzer is currently available as a Beta feature.
AI-generated insights should be used alongside your inventory policies and business knowledge when making planning decisions.
The analysis reflects the data available at the time it is generated. If the underlying data changes, regenerate the analysis to receive updated insights.