Forecasting at Hard Rock Cafe

Alicia Campos Almodóvar
14 Jun 201308:08

Summary

TLDRHard Rock Cafe utilizes forecasting techniques like moving averages, weighted averages, exponential smoothing, and regression analysis to predict sales, manage resources, and set targets for bonuses. These methods are crucial for determining demand, scheduling staff, and making strategic decisions such as menu pricing and expansion. Accurate sales forecasts are essential for operational efficiency, financial planning, and aligning with corporate objectives.

Takeaways

  • 🔮 Forecasting is crucial for organizations in various sectors, including manufacturing and service industries, to plan for demand, staffing, facility expansion, and profits.
  • 📈 Hard Rock Cafe uses forecasting to manage long-term growth, intermediate-term contracts for raw materials, and short-term needs like food and labor scheduling.
  • 💼 Todd Lindsay, Senior Director of Finance, emphasizes the importance of accurate sales forecasts for operational planning and financial management.
  • 🔑 Accurate sales forecasts are essential for Hard Rock Cafe's purchasing managers to secure long-term contracts for commodities like beef, chicken, and pork.
  • 🏢 The company's Treasury function relies on sales forecasts to drive profit and cash flow forecasts, which are critical for banking and borrowing decisions.
  • 📊 Hard Rock Cafe employs various forecasting techniques such as moving averages, weighted moving averages, exponential smoothing, and regression analysis.
  • 🎯 For setting managers' bonus targets, Hard Rock Cafe uses a weighted average of the last three years' performance, with the most weight on the most recent year.
  • 📊 Forecasts start at the unit level, with each of the 55 cafes making monthly forecasts that are reviewed and aggregated for the year.
  • 🔍 The company closely monitors performance against budgeted expectations and prior year's performance to identify and address forecast variances.
  • 🚶‍♂️ The primary challenge for Hard Rock's forecasts is accurately predicting customer foot traffic, which is captured through point of sale (POS) systems and entrance counts.
  • 🍽️ Hard Rock Cafe uses regression analysis for menu planning, examining the price elasticity of demand and the impact of price changes on related menu items.

Q & A

  • Why is forecasting important for organizations like Hard Rock Cafe?

    -Forecasting is crucial for organizations like Hard Rock Cafe as it helps determine demand for products, hiring needs, facility expansion, and ultimately, forecasted profits. It also aids in scheduling and purchasing labor, food, and immediate supplies.

  • What are the different time frames for which Hard Rock Cafe forecasts?

    -Hard Rock Cafe conducts long-term forecasting for growth and sales per store, intermediate-term forecasting for contracts like raw materials, and short-term forecasting for scheduling and purchasing labor and food supplies.

  • How does Todd Lindsay, Senior Director of Finance, describe the importance of accurate sales forecasting?

    -Todd Lindsay emphasizes that accurate sales forecasting is vital as it influences various organizational decisions, including purchasing, staffing, and financial planning. It also affects bonus targets for managers and is a key input for profit and cash flow forecasts.

  • What forecasting techniques does Hard Rock Cafe use for setting managers' bonus targets?

    -Hard Rock Cafe uses a weighted average of the last three years of performance to set managers' bonus targets, with the most current year receiving the heaviest weighting.

  • How does Hard Rock Cafe handle unit-level forecasting?

    -Hard Rock Cafe performs monthly forecasts at each cafe, which are then reviewed by the finance team, rolled up for the month, quarter, and year, and compared against budgeted expectations and past performance.

  • What is the primary issue for Hard Rock's forecasts?

    -The primary issue for Hard Rock's forecasts is accurately predicting the number of customers who will walk through the door, which is crucial for planning and resource allocation.

  • How does Hard Rock Cafe capture data on customer visits?

    -Hard Rock Cafe captures data on customer visits through point of sale (POS) equipment, which provides a count of customers based on the number of entrees served and also tracks the total number of people entering the cafe.

  • What role does the general manager play in finalizing forecasts at Hard Rock Cafe?

    -The general manager at Hard Rock Cafe contributes expertise to finalize short-term schedules and long-term forecasts, ensuring they reflect planned changes such as remodeling or menu changes.

  • How does Hard Rock Cafe use regression analysis in its forecasting?

    -Hard Rock Cafe uses regression analysis, specifically multiple regression, to understand the relationship between the demand for one menu item and other items, allowing them to predict the impact of price changes on demand.

  • What are some factors that affect the finalized forecasts at Hard Rock Cafe?

    -Factors affecting the finalized forecasts at Hard Rock Cafe include weather, conventions, food and beverage costs, and the expertise of the general manager, all of which are combined with transaction data to make accurate predictions.

Outlines

00:00

🔮 Importance of Forecasting in Business Operations

This paragraph emphasizes the critical role of forecasting in business operations across various sectors. Manufacturers and service providers like restaurants and hotels rely on forecasts to manage resources, plan for growth, and schedule operations. Hard Rock Cafe, as an example, uses forecasting for long-term capacity planning, intermediate-term purchasing, and short-term labor and supply needs. Todd Lindsay, Senior Director of Finance, stresses the significance of accurate sales forecasts for the organization's planning, including influencing purchasing decisions, treasury functions, and financial planning. Various forecasting techniques, such as moving averages, weighted moving averages, exponential smoothing, and regression analysis, are employed at Hard Rock Cafe to set performance targets and make strategic decisions.

05:01

📊 Data-Driven Forecasting at Hard Rock Cafe

The second paragraph delves into the specific forecasting practices at Hard Rock Cafe, highlighting the use of point-of-sale (POS) data to track customer traffic and purchases. The company captures detailed information on customer orders and uses this data, combined with external factors like weather and conventions, to refine its forecasts. The paragraph discusses the use of regression analysis for menu planning, allowing the company to understand the price elasticity of demand and the impact of price changes on related menu items. It also touches on the integration of these quantitative techniques with the expertise of general managers to finalize short-term schedules and long-term forecasts, ensuring they align with corporate strategies and planned changes.

Mindmap

Keywords

💡Forecasting

Forecasting is the process of making predictions about the future, often based on historical data and statistical analysis. In the context of the video, forecasting is crucial for organizations like Hard Rock Cafe to determine demand for products, hiring needs, facility expansion, and profit expectations. The video emphasizes its importance in planning for various time horizons, from long-term growth to short-term operational needs.

💡Capacity

Capacity refers to the maximum amount of output that a system can produce or the maximum amount of service that a facility can provide. In the video, Hard Rock Cafe uses long-term forecasting to determine the capacity needed for growth, which includes understanding how many customers they can serve and how much space they require to meet that demand.

💡Sales Forecast

A sales forecast is a prediction of the total sales volume that a company can expect to achieve in a given future period. The video highlights that having an accurate sales forecast is vital for Hard Rock Cafe as it influences purchasing decisions, staffing, and even the setting of managers' bonus targets. It's a key driver for operational planning and financial projections.

💡Purchasing Managers

Purchasing managers are responsible for overseeing the procurement of goods and services for an organization. In the video, it's mentioned that Hard Rock Cafe's purchasing managers rely on sales forecasts to lock into long-term contracts for commodities like beef, chicken, and pork, ensuring they have the necessary supplies to meet projected demand.

💡Treasury Function

The treasury function in a company involves managing financial resources, including cash flow, risk, and capital. The video explains that the sales forecast, which is derived from forecasting, is crucial for the treasury function at Hard Rock Cafe. It helps in driving profit forecasts, which in turn affect cash flow forecasts and inform borrowing needs from banks.

💡Moving Averages

A moving average is a widely used indicator in time series analysis that helps smooth out price data to show underlying trends. In the video, Hard Rock Cafe uses moving averages in their forecasting techniques, particularly for setting managers' bonus targets by taking a weighted average of the last three years of performance.

💡Weighted Moving Averages

A weighted moving average is a type of average that assigns greater importance to more recent data points. The video mentions that Hard Rock Cafe uses a weighted moving average, giving different weights to the most recent year (40%), the year prior to that (40%), and the year before that (20%), to set performance targets for managers.

💡Exponential Smoothing

Exponential smoothing is a time series forecasting method for univariate data that gives more weight to recent observations. Although not explicitly detailed in the video, it is listed as one of the techniques used by Hard Rock Cafe, suggesting it's part of their toolkit for analyzing trends and making forecasts.

💡Regression Analysis

Regression analysis is a statistical method used to determine the relationship between a dependent variable and one or more independent variables. The video explains that Hard Rock Cafe uses regression analysis when planning menu changes, to understand how changes in the price of one menu item might affect the demand for related items.

💡Point of Sale (POS)

Point of Sale (POS) refers to the place where a retail transaction is completed. In the video, Hard Rock Cafe captures data from their POS systems to count the number of customers and track sales, which is critical for their short-term forecasting and understanding customer behavior.

💡Data Warehouse

A data warehouse is a system used for reporting and data analysis. The video mentions that Hard Rock Cafe compiles all the transaction data from their POS systems into a data warehouse at the corporate office. This centralized repository of data is then used to analyze patterns, compile statistics, and aid in forecasting.

Highlights

Forecasting is essential for organizations to determine demand, hiring, expansion, and profits.

Hard Rock faces forecasting challenges in its cafes, hotels, and nightclubs for capacity, labor, and supplies.

Long-term forecasting helps in planning for growth and sales per store.

Intermediate-term contracts for raw materials are based on sales forecasts, eight months in advance.

Short-term forecasting is crucial for scheduling and purchasing labor and immediate supplies.

Accurate sales forecasts are vital for all areas of the organization, from a year to five years.

Purchasing managers use sales forecasts to lock into long-term contracts for food supplies.

The Treasury function relies on sales forecasts to drive profit and cash flow forecasts for borrowing needs.

Hard Rock Cafe uses various forecasting techniques including moving averages, weighted moving averages, and exponential smoothing.

Managers' bonus targets are set using a weighted average of the last three years' performance.

Forecasts start at the unit level and are reviewed monthly, then rolled up for the month, quarter, and year.

Forecasts are compared to budgeted expectations and prior year performance to identify variances.

The number of customers walking through the door is a primary issue for Hard Rock's forecasts.

Point of Sale (POS) equipment captures data on customers and transactions for forecasting.

Hard Rock compiles statistics on the average consumer and combines them with external data for finalized forecasts.

Regression analysis is used for planning menu changes and understanding price elasticity of demand.

Hard Rock's forecasting techniques provide a solid basis for finalizing local forecast needs.

Transcripts

play00:21

forecasting is fundamental to all

play00:23

organizations manufacturers use

play00:27

forecasting to determine the demand for

play00:29

products the number of employees to hire

play00:32

expansion needs for facilities and

play00:34

ultimately forecast profits similarly in

play00:41

the service sector restaurants and

play00:43

hotels must forecast capacity for the

play00:45

long term purchasing contract blanket

play00:48

orders for the intermediate term and for

play00:51

the short term must use forecasting to

play00:54

schedule and purchase labor food and

play00:57

immediate supplies hard rock faces all

play01:02

of these forecasting issues in its cafes

play01:04

hotels and nightclubs long term

play01:09

forecasting is done to determine the

play01:11

capacity needed for growth of sales per

play01:13

store in the intermediate term contracts

play01:17

for items such as raw materials for

play01:19

leather jackets are issued eight months

play01:22

out and in the short term food and labor

play01:26

must be forecast

play01:27

Todd Lindsay senior director finance

play01:30

manages the forecasting activities

play01:33

having accurate forecasts for sales is

play01:36

very important to our business because

play01:38

there's a number of things that we do

play01:40

with the with the sales forecast most

play01:43

importantly all areas of the

play01:44

organization are in need to be plugged

play01:46

into an appropriate sales forecast for

play01:48

the for the for a year

play01:50

anywhere from a year to a month to five

play01:51

years because there's different areas

play01:54

they come to use a forecast for

play01:55

different things our purchasing managers

play01:58

for example will lock lock into long

play02:00

term contracts for for beef for chicken

play02:02

and for pork based on the sales forecast

play02:06

that we have so it's very important that

play02:07

I know not only how many customers are

play02:10

coming to my existing locations but also

play02:11

how many

play02:12

new locations are on the horizon for us

play02:14

in the development plans it's awesome

play02:16

vitally important to us is from a

play02:19

Treasury function as well because at the

play02:22

sales forecast is what helps drive the

play02:23

profit forecast profit forecast drives a

play02:25

cash flow forecast therefore when I when

play02:29

I go to the banks and I'm to try to

play02:30

determine what my borrowing needs are

play02:31

going to be it's a really good idea to

play02:34

have a pretty tight forecast on what

play02:36

your cash flows are going to be in the

play02:39

forecasting chapter of your text a

play02:41

variety of forecasting techniques are

play02:43

presented many of these techniques are

play02:47

used at Hard Rock Cafe techniques such

play02:50

as moving averages weighted moving

play02:52

averages exponential smoothing and

play02:55

regression analysis are employed in a

play02:58

Hard Rock Cafe when we we said our

play03:00

managers bonus targets at the unit we

play03:04

use a weighted average and we we take a

play03:06

weighted average of the last three years

play03:08

of performance with the heaviest

play03:10

weighting being on the most current

play03:11

year's performance and the weighting is

play03:15

40 40 20 40 being the the post current

play03:18

year 40 being a year prior to that in

play03:22

the twenty being the the most earliest

play03:25

year of their three years prior we take

play03:27

a we take a weighted average of that and

play03:30

we we set the targets which that their

play03:32

their bonus targets based on based on

play03:34

those averages and to the effect that

play03:36

they can have the moving average exceed

play03:38

their target and the bonus for

play03:40

improving their sales company forecasts

play03:44

also rely on these techniques we do it a

play03:47

number of different forecasts at Hard

play03:49

Rock Cafe we start out at the unit level

play03:52

or the cafe level in their 55 own cafes

play03:55

and every month we do it we do a

play03:57

forecast at each of those cafes those

play04:00

forecaster then are then reviewed by me

play04:03

and my staff

play04:04

we then roll those forecasts up for the

play04:07

month for the quarter in for the year

play04:09

we take a look at what the performance

play04:11

looks like for the month versus but our

play04:14

what our budgeted expectations were and

play04:16

then also what our performance was from

play04:18

the prior year we try to isolate any any

play04:20

major variances in the forecast and

play04:22

determine what the root cause of those

play04:24

variances are and then make

play04:25

determinations on whether we need to

play04:27

make any any changes in in our course

play04:29

over the course of the year the primary

play04:32

issue for Hard Rock's forecasts is the

play04:34

number of people who walk through the

play04:36

door it's vitally important that we know

play04:39

how many people walk in the front door

play04:41

the only way we know that is is through

play04:43

the capturing that data from our point

play04:44

of sale or POS equipment it's in each of

play04:47

the cafes there's a there's a definite

play04:50

count of customers that we capture based

play04:52

on the number of entrees that come over

play04:54

come out of our kitchen so we know

play04:55

actually how many people have come to

play04:56

dine with us as well as we not only have

play04:59

that but we also have an actual fiscal

play05:01

count of human beings that actually walk

play05:03

into the front door so there may be

play05:04

people that come in that they come in

play05:06

for a dessert occasion or a bar occasion

play05:08

so we know how many people in total came

play05:10

into cafe how many how many of those

play05:11

actually ordered entrees and then we

play05:14

know exactly what they what they bought

play05:16

because every every single POS

play05:18

transaction is captured from the unit

play05:21

and to sit back to the corporate office

play05:22

where we have that in a data warehouse

play05:23

and from from those transactions then we

play05:27

compile all the statistics on the

play05:29

average consumer these statistics when

play05:31

combined with data on weather

play05:33

conventions and food and beverage costs

play05:36

affect the finalized forecasts with the

play05:40

added expertise provided by the hard

play05:42

rock cafe general manager these

play05:44

short-term schedules are determined

play05:47

long-term forecasts also are reviewed by

play05:51

corporate headquarters to ensure they

play05:53

reflect any planned changes such as

play05:55

remodeling or menu changes hard rock

play05:59

uses regression analysis when planning

play06:01

menu changes we're looking at our menu

play06:04

we we sometimes use some advanced

play06:07

mathematical techniques multiple

play06:08

regression analysis per se to identify

play06:13

how the demand and one

play06:15

one particular menu item is related to

play06:17

the demand and other particular menu

play06:18

items so we were able to were able to

play06:21

take a look at our menu and drill down

play06:22

into what the actual price elasticity of

play06:25

demand is for one particular item and as

play06:27

we move the price on that item that we

play06:30

can also we can also look at what what

play06:32

actual the the actual impact is going to

play06:34

be on other related items so as I move a

play06:37

say for example the price on a Hamburg

play06:39

and up the dollar I know that the people

play06:43

are going to move out of that aisle for

play06:44

that menu item and I know what rate

play06:46

they're going to move off of that menu

play06:47

item and then I know that I can actually

play06:49

identify where they're gonna move to

play06:50

they're gonna move to sandwiches or

play06:53

they're gonna move to the chicken

play06:54

sandwich or they're gonna move to if

play06:56

it's the cheeseburger I take up they're

play06:57

gonna maybe they're gonna move off to

play06:58

the hamburger they're gonna move to the

play07:00

Ankara burger but through multiple

play07:02

regression analysis on our menu items we

play07:05

can identify what I want to change in

play07:07

pricing and one items going to do to the

play07:10

demand for another the Hard Rock Cafe

play07:12

like many service organizations has

play07:15

unique forecasting needs that aren't

play07:17

always met with quantitative models but

play07:20

you can be certain that the information

play07:21

resulting from Hard Rock's corporate use

play07:24

of forecasting techniques forms a solid

play07:26

basis for finalizing local forecast

play07:29

needs

play07:46

when when they were looking for quotes

play07:48

so I said we should put money money

play07:49

money money

play07:57

you

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