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While many Readysell customers already enjoy the benefit of Readysell’s “average weekly sales” demand prediction algorithm for purchase runs, some of our customers prefer to use min/max for reordering products. The new min/max update run feature lets you take advantage of the best of both worlds. We’ll scan your product file for cases where you believe your min/max value could be adjusted to increase efficiency. You can then tweak the levels and update all your min/max values in one go.
When extracting the min/max run. There are a number of statistical measures that can be adjusted to get the result you need. See: Readysell Statistical Measures
Note |
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This feature is not available in Readysell Lite. |
Getting Started
Child pages (Children Display) |
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page | Getting started with Min/Max Update Runs |
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Essential Reading
Readysell Statistical Measures
Reference
Buttons
Refer to Common Buttons.
Fields
Field | Name |
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Type | This is the transaction type for Min/Max Update Runs (MMURUN (Min/Max Update Run)) |
Number | The transaction number of the run |
Status |
The status of the run |
Date |
Create date and time-stamp |
Name | Description of the run |
Lines tab
Field | Description |
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Product | Product ID and name for that line |
Site | Site of the product location |
Cur Min | The current minimum qty |
Cur Max | The current maximum qty |
Rec Min |
The recommended minimum reorder quantity by the system based on the specified criteria |
Rec Max |
The recommended maximum reorder quantity by the system based on the specified criteria |
New Min |
The new minimum reorder quantity which defaults to the Rec Min but can be overridden by user |
New Max |
The new maximum reorder quantity which defaults to the Rec Max but can be overridden by user |
Message tab
This contains the summary of the update
Image Added
Details tab
Field | Description |
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Count of Weekly Sales |
is the average number of sales per week over the date range that contained at least one line with the product in it. |
Quantity of Weekly Shipments |
is the average weekly each quantity of products shipped over the date range ie., Quantity Of Shipments / Weeks |