Overview
Allocation is a detailed crucial workflow of an organization. Allocators need to act and react quickly to changing trends in the stores by sku by active assortment. Toolio has created out of the box views that can help identify risks and opportunities as well as the impacts your strategy changes have on your Inventory Turn and Sales Plans.
Allocation Strategies Section
Purpose: Set your strategies. Filter it for your needs and Save As. Treat like your Location Product Matrix.
Mandatory Fields:
Location List
Order Cycle / Safety Stock
Start Date
Demand Type
Demand (depending on Demand Type)
Sales Curve
Size Curve
Location Curve
Non-Mandatory Fields:
End Date
Presentation Profile
Phase Out Date
Allocation Strategies - Views
View Name | Defaults | Purpose |
Section:
View:
| This view has no Default Filters and will be all of your choices. | This View is to set your strategies. Filter it for your needs and
The last 2 columns will give you the last time the allocation was executed and the status |
View Name | Defaults | Purpose |
Section:
View:
| Filters: Source Current Inventory >= 5 and Start Date is empty. | This view limits your choices down to ones that have not been given a strategy but do have inventory at the Source (warehouse/DC). Add any additional filters to help narrow down and specify your needs. You can also Filter by Source On Order to see future goods as well. |
View Name | Defaults | Purpose |
Section:
View:
| Filters: Status has any of | This view narrows down strategy that have been started but not run yet either do to completion of the mandatory fields or timing. |
View Name | Defaults | Purpose |
Section:
View:
| Filters: Status has any of | This view is to see any failed strategies or any strategies with warnings of a size mismatch. |
Allocation Strategies - Allocation Details View
View Name | Defaults | Purpose |
Section:
View:
| This will default to information on the choice you have selected.
Timeframe is for the Past 4 Weeks + the Next 9 Weeks.
It filters the sizes and locations based on your curves and choice ID you have selected.
| It contains all the metrics needed to validate your allocation output.
Use this to review the forecast generated, the in transit on its way and the transfers to go. |
Allocation Plan - Views
View | Data Set | Purpose |
Section:
View:
| Section:
Dataset:
| This report shows a quick view into the BOP to EOP for each location highlighting the transfers from actuals to recommended.
Add levels to the Groups to zoom in and out of product details. |
View | Data Set | Purpose |
Section:
View:
| Section:
Dataset:
| This report shows a quick view into the BOP to EOP for each Choice that has an allocation strategy, highlighting the transfers from actuals to recommended for each store. A great way to spot check your key drivers and/or new launches and how these will be stocked in stores. |
View | Data Set | Purpose |
Section:
View:
| Section:
Dataset:
| Use this to review the forecast generated, the in transit on its way and the transfers to go by week. |
View | Data Set | Purpose |
Section:
View:
| Section:
Datasets:
| This view lets you dive into the product to the store level to find you exceptions or outliers. |
View | Data Set | Purpose |
Section:
View:
| Section:
Dataset:
OR
Section:
Dataset:
| This view will show your assortment by store. The data is less important in this view as it really should be used as a way to understand how your strategies breakdown to store and product. This report would normally be shared with store ops so they can communicate to the stores what their assortments are based on the strategies. Hopefully limiting stores calling in saying they don't have a certain color or style. |
View | Data Set | Purpose |
Section:
View:
| Section:
Dataset:
| This shows the best sellers of last week (or longer). Allocators can look quickly at the company best sellers and dive into the stores to see any red flags or allocation strategy changes needed. |
View | Data Set | Purpose |
Section:
View:
| Section:
Dataset:
| This View was intended to help users figure out their rate of sale in order to use that Demand Type in Allocation Strategies. ROS is Average Per Week divided by store count. It is using the last 4 weeks of data. |
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