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IT TAKES BACK OF HOUSE GUTS TO POWER FRONT OF HOUSE GLORY.  LET US HELP.

This blog supplements our Resource Center content.  We hope you visit often to learn more about how back office software can help your restaurant optimize food and labor costs and minimize waste.

How to Develop an Assortment Plan for a Restaurant (Part III)

Posted on Tue, October 22, 2013

As we discussed in my previous blog posts, the Assortment Plan provides a localized plan for each restaurant for all products.  It not only specifies the categories and detailed menu items to be sold, it also provides sales estimates for those products and, as well, gross margin estimates at the category/location level.  The definition of a category, the key product dimension for the plan, is best described by AC Nielsen is that the products should meet a similar consumer need, or that the products should be inter-related or substitutable.  The key here is that a Category should be viewed from your customer’s perspective rather than from a Food & Beverage point of view.

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Tags: restaurant reporting, enterprise reporting, menu and recipe engineering, menu engineering, restaurant back office, assortment planning, business intelligence, restaurant inventory software

Why Assortment Planning Is Critical For Restaurants (Part II)

Posted on Tue, October 15, 2013

Continuing from where we left off last time, lets now look at some popular approaches about how to develop an Assortment Plan for a restaurant...

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Tags: restaurant food costs, menu engineering, assortment planning, business intelligence

Why Assortment Planning Is Critical For Restaurants (Part I)

Posted on Wed, October 09, 2013

Restaurants typically operate with two realities.  The first is that local customers will ultimately drive the success of the business.  Multi chain concepts in highly urbanized environments are often drawing the largest percentage of customers from a very small radius of just a few blocks.  Suburban locations may see the primary trade area grow to 2-5 mile circle around the location.  Thus, most of the location’s customers are neighbors and most likely have different tastes than customers in different neighborhoods based upon ethnic mix, local product availability, etc.

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Tags: menu and recipe engineering, assortment planning, business intelligence

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