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AMPS/Commissary Manager
Automatic Menu Preparation System

AMPS Screenshot

AMPS/Commissary Manager is a full featured commissary production system designed to maintain commissary menus and food entree component lists, monitor menu component costing and forecast sales by item level. In short, AMPS gives you an opportunity to increase your food sales and improve location profits by applying demand forecasting and commissary production control methods to your food service operations.

Features:

Stock Inventory Maintenance and Update

Menu Component File Maintenance

Automatic Account Item Maintenance

Automatic Item Popularity Maintenance

Automatic Item History Maintenance

Daily Menu Editing

Account Menu Entry and editing

Placed and returned item maintenance

Menu Explosion Print and Accumulate

Sales Analysis Week-at-a-glance

Sales Analysis Returns by route

Sales Analysis Weekly operating report

Recipes include manufactured components

Automatic stock costing and pricing

Automatic daily menu generation

Automatic Account Menu generation

Automatic item forecasting by category

Automatic forecasting and
Modification by past usage

AMPS is Menu driven and user friendly. File information is accessed through menu prompts that guide you through the program. The operator chooses the desired function and arrows down to the appropriate prompt to invoke the task. Once an operator learns how to use one or two of the functions, he or she can run any part of the program without additional training. All of the programs operate in the same fashion, with activity on the various screens controlled by the same Hot Keys.

Here's How it Works:

The AMPS stock master files, including the Component Ingredient Description files, Account Master file and the Standard Menu file are created by the user. All other files are created automatically by AMPS during the daily operation without additional Data Entry. A daily menu is automatically generated from the standard menu or entered manually from the daily order. The daily system menu can then be edited. A menu for each account is automatically generated from the daily menu. Item quantities are then forecast from the item popularity files. The account menu can then be edited or changed manually, if desired.

When AMPS is first installed, forecasting information should be edited manually for best results. But AMPS learns quickly, its projections will come closer and closer to optimum forecast values for a location or specific machine. Each time items are returned to the warehouse and recorded back into the software, AMPS will adjust its projections until optimum preparations are achieved.

The commissary order and menu explosion are printed for production and can be accumulated for up to seven days. A distribution list with an optional pull list for each customer is printed in route order and account menus are posted to Account History Files.

The route person updates the placed and returned counts for each item in the daily distribution list and updates are entered into the Account History files. Item popularity is automatically computed for the items for which all returns have been entered and item popularity is posted to the Account item file, then the items are purged.

Forecasting:

The projected item counts for each account and items sold at that account are forecasted in the account menu file from the daily menu file, which is in turn generated from a standard menu file template.

There are two methods of forecasting in the AMPS program. The first, method A, the traditional method, the item counts are projected for each account and item category. The projection or forecast is based on the total number of items per category and item's popularity and sales history. A day factor compensates for predictable sales variations, such as holidays, paydays and desired waste factors.

Method B, the projections are based only on past performance of individual menu items, without regard to category totals. This method is very similar to manual forecasting methods and can be controlled by the following factors:

  • Bonus increments for Sell-Out, where if all items sell out, add specific increments
  • Weight Factors, where three past performances are tracked by AMPS, and assigned weight determines the level of importance given to older information.
  • Day-of-the-week matching, where AMPS will only use history from the same day-of-the-week, in past weeks data, to do its predictions.

The methods listed above require user defined parameters, except item popularity. Item popularity is maintained automatically from the entry of placed and returned counts.

When daily distribution functions are completed, all account menu projections are posted to an account history file and are kept there until all are placed, and returned counts are updated. The entry of returned counts depend on the pull date, and turn-ins depend on the shelf life of an item. The number of menus (Distributions) for each account is kept in the history file and therefore will be approximately as high as the longest shelf life (in number of days) within the account. (ie: about five days.) When all placed and returned counts are updated within a catagory total, they are re-computed and stored in the account item file and the catagory is purged from the Account A history file.

Report and Analysis Functions:

The Account History file can be accumulated for up to one week. This forms the basis for the sales analysis Report that shows the variety of items placed and eaten or returned at each or all account locations. These reports can optionally provide detailed food costs and profit and loss information.

An Item analysis report is available to show the performance of a chosen item at all accounts where it has been distributed. This is ideal for analyzing the sales performance of new menu items.

When the cycle for computing the item popularity repeats several times, trends for certain accounts and items show up. It is this virtue of AMPS that allows the user to increase sales and quality of service through the increase of sales in a proven popular item and the expense of unpopular items. Over time, as AMPS determines item popularities, and makes its forecasts and corrections, sales will increase and waste reduction at an account will become dramatic.

Operating Environments:

Single User
Pentium based workstations
with windows 95 (or Newer)
MS-DOS Operating Systems

Multi-user Networks
Novel NetWare (LAN)
in conjunction with EtherNet
or 100baseT Networking software

Multi User UNIX
SCO/UNIX


For more information about
AMPS/Commissary Manager software,
contact our Sales Department,
or call (800)-627-9990