The Inventory Historical Analysis allows to get insights on your Inventory KPIs over time. Are there any recurring issues?
It is composed of three data visualizations:
- Historical Adherence to Targets: visualize the proportion of occurrences of Out-of-Stock, Under-Stock and Over-Stock for the selected period of time
- Inventory Status Evolution by Item: visualize the status of your items' stock over time
- Number of Inventory Issues & Percentage of Occurrences: get insights on the occurrences of Inventory issues by Items
Historical Adherence to Targets
This section shows the proportion of occurrences of Out-of-Stock, Under-Stock and Over-Stock.
Refer to "How to read a KPI Card" section for more details.
Inventory Status Evolution by Item
For each Item, understand the evolution of its status over item.
Number of Inventory Issues & Percentage of Occurrences
Get a comprehensive list of items with recurring issues. Which items have been frequently Over-Stocked, Under-Stocked or Out-of-Stock?
Filter on Date
This data visualization comes with a filter on the Date value. This feature enables you to focus on the period you are interested in.
You can filter dates at multiple levels: Day, Week, Month, Quarter or Year.
Filter your data
This data visualization comes with four top filters that allows to focus on what really matters.
In your Inventory dashboard, you will be able to filter on:
- Warehouse / StoreWarehouse / Store
- Item FamilyItem Family / Product Family
- ItemItem / Product / By-Product / Ingredient
How to read a KPI Card
This DataViz shows the performance of a given KPI.
It combines three components.
- In the foreground, you can see the KPI name, its value and a symbol that indicates whether the KPI is above or under the reference (the reference is defined by the chosen value in the Performance Scope selector). This first component is colored depending on the evaluation.
- In the background, an area chart shows the monthly evolution of the KPI across the last 24 months based on the selected period.
- Below the chart, the variance in % vs the reference is displayed.