Magellan All-Weighs Platter ROI Calculator - Discover Your Savings!

Magellan All-Weighs Platter ROI Calculator - Discover Your Savings!

Magellan All-Weighs Platter ROI Calculator - Discover Your Savings!

Magellan All-Weighs Platter ROI Calculator - Discover Your Savings!

The Magellan All-Weighs Platter ROI Calculator quantifies the benefits of the Magellan All-Weighs Scale Platter in reducing produce shrink. Find out how much your company can save with the All-Weighs scale platter by using the simple tool below.

The numbers shown for the generic ROI calculation are based on a typical store chain with annual sales of $1,000,000,000 and using industry and Datalogic information. These numbers are designed to be conservative to show a baseline savings for the Magellan All-Weighs Scale Platter. Actual customer data should provide even more savings.

 

All Weighs

Instructions:

Blue colored boxes indicate a value which will effect your Return on Investment (ROI) calculation. To complete a customized ROI analysis, replace the numbers in the blue boxes with your company data which will be used to calculate a custom ROI number.

Assumptions:
Scanning Statistics
Supermarket Gross Sales per Year:
$
Retailer Input
Average Transaction Value:
$
FMI Industry Average or Use Retailer Input
Number of Transactions per Year:
 
Calculation
Average Number of Items per Transaction:
 
Industry Average or Use Retailer Input
Number of Items Transacted per Year:
 
Calculation
Percent (%) of Items Scanned:
%
Industry Average or Use Retailer Input
Number of Items Scanned per Year:
 
Calculation
Number of of Lanes (Scanners) per Store:
 
Retailer Input
Total Number of Stores:
 
Retailer Input
Number of Items Scanned per Scanner per Year:
 
Calculation
 
Assumed Scanner Life (Years):
 
Retailer Input
 
Assumptions:
Produce Statistics
Percent (%) of Items that are Produce:
%
Industry Average or Use Retailer Input
Number of Produce Items per Year:
 
Calculation
Percent (%) of Produce Items Sold by Weight:
%
Industry Average or Use Retailer Input
Number of Produce Items per Year, Sold by Weight:
 
Calculation
Average Value per Produce Item:
$
Industry Average or Use Retailer Input
Dollar Amount of Produce Sold by Weight:
$
Calculation
 
Datalogic's Magellan All-Weighs Platter Savings
Estimated Magellan All-Weighs Increase in Weight Accuracy:
%
Datalogic's Estimate
(More accurate weighing due to All-Weighs Platter)
Produce Revenue Increase per Year, per Scanner:
$
Calculation
Annual Produce Revenue Increase for All Scanners:
$
Calculation
Lifetime Produce Revenue Increase for Each Scanner:
$
Calculation
Produce Revenue Increase Over Life of Scanner for Lanes:
$
Calculation
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