
IFS
KEY QUESTIONS:
How does collaboration impact your
business’ ability to generate forecasts?
3
How does demand planning enable more
accurate seasonality forecasts?
1
How does demand planning generate
relevant historical data for new products?
2
INTELLIGENT DEMAND PLANNING
FOR THE FOOD AND BEVERAGE
INDUSTRY
IFS WHITE PAPER
Mike Lorbiecki, Vice President Sales and Karin Rainesalo, Business Solution Consultant, IFS, June 2017
2 INTELLIGENT DEMAND PLANNING FOR THE FOOD AND BEVERAGE INDUSTRY
INTELLIGENT DEMAND
PLANNING FOR THE FOOD AND
BEVERAGE INDUSTRY
BY MIKE LORBIECKI, VICE PRESIDENT SALES AND
KARIN RAINESALO, BUSINESS SOLUTION CONSULTANT, IFS
In an industry known for fierce competition, razor-thin profit margins, perish-
able products and government regulations, the food and beverage industry
relies heavily on a resilient supply chain with intelligent demand planning
capabilities. Is your supply chain prepared for what’s next?
Demand planning is about better placing products. It is about placing the
right product, at the right place, at the right time, in the right quantity.
Demand planning enables companies to accomplish this business objective in
an organized fashion and provides the opportunity to capitalize on additional
sales through utilization of historical data. An ERP solution with supply chain
visibility, intelligent demand planning and quality control is incremental value
add to any business. Many businesses are already using demand planning,
but not as effectively as they could be. Traditional ERP systems separate the
different processes in the supply chain, meaning full visibility of all business
operations isn’t always available, but other innovative ERP solutions are able
to provide a full view so supply chain can be harnessed holistically.
BENEFITS OF DEMAND PLANNING
Taking a proactive approach to address the future of your business’ supply
chain results in fewer surprises, shortages and unnecessary spending. An
ERP solution with full support for intelligent demand planning functionality, as
well as production and procurement planning allows for businesses to review
trends and historical data, making it possible to conduct strategic forecasting
to streamline ordering, inventory and production. Carefully considering and
planning for both near future and long term is the best way to keep pace with
the competition. Below are three useful benefits that come from an intelligent
demand planning functionality.
SEASONALITY
Businesses in the food and beverage industry must always be prepared for
change, especially when seasonality shifts demand planning. Seasonality is
one of the most commonly used statistical patterns to improve accuracy of
a demand forecast. Having the agility and planning tools such as demand
planning functionality is particularly useful when managing seasonality.
Whether seasonality impacts your sales or your inventory, by using historical
data to make predictions, a business can leverage demand planning to provide
more accurate forecasts.
1. Seasonality
2. Inheritance
3. Collaboration
3 USEFUL BENEFITS FROM DEMAND
PLANNING FUNCTIONALITY
WHO
HOW
WHERE
WHICH
WHEN
WHAT
3 INTELLIGENT DEMAND PLANNING FOR THE FOOD AND BEVERAGE INDUSTRY
Powerful demand planning functionality will help minimize the time-consuming
job of defining seasonal profiles and even pairs seasonality with sales distri-
bution for visual representation of your monthly forecast. To make the very
best use of all your historical data you need a reliable, multi-faceted, flexible
and easy to use business tool.
An example of an end-user view of demand forecast functionality within an ERP solution.
Demand forecast functionality can demonstrate historical forecast, system forecast,
adjusted forecast, events, campaigns and more.
INHERITANCE
Finding ways to reduce the impact of high cost areas such as unnecessarily
high inventories, a troublesome product portfolio and variable levels of service
begins by understanding trends and being able to accurately predict them.
To do this you need to have the capability to record and use your business
history from which you are able to make insightful forecasts. Demand
planning functionality should provide your business with all the functionality
and flexibility to turn your business’ historical data into accurate forecasts
that clearly pinpoint the areas that need to be restructured for greater
profitability.
It seems that too many companies continue to fail giving demand planning
and forecasting the recognition it deserves and choose to rely on educated
guesses. In the modern, global business landscape there is no room for
guesswork when it comes to your supply chain, that’s why demand planning
and historical data are vital to an accurate forecast.
Demand planning functionality should have the capability to populate
historical data to provide for an accurate forecast. If your business produces
a new product, and therefore does not have relevant historical data for the
product, the demand planning functionality should provide inheritance data
through algorithms that select and group historical data from similar products
with parallel patterns. With inheritance, a credible forecast can be created for
a new product without relevant historical data.
Powerful demand planning
functionality will help
minimize the time-consuming
job of defining seasonal
profiles and even pairs
seasonality with sales
distribution for visual
representation of your
monthly forecast.
Demand planning
functionality should have the
capability to populate
historical data to provide for
an accurate forecast.
4 INTELLIGENT DEMAND PLANNING FOR THE FOOD AND BEVERAGE INDUSTRY
Inheritance should be one of many capabilities within your ERP solution’s
functionality. The demand planning module should calculate a lot for your
business, but realize the value of an ERP solution that enables the user to
have the final say before any large business decision. ERP solutions are
intelligent, but no one knows your business better than you.
BEWARE OF CANNIBALISM
New product development and innovation is exciting, especially when a new
product goes to market, but new products can become troublesome when
the product turns into a cannibal, chipping away at existing market share.
For instance, let’s say that your business produces milk chocolate candy and
looks to expand into dark chocolate candy. Whether or not events such as
promotions are occurring, if the newly released dark chocolate candy gobbles
up most of its share from the milk chocolate candy that the business was
already selling quite successfully, this business is running into an instance
of cannibalism.
Highly graphical, interactive demand planning tools provide users the
capability to benefit from widespread forecasting over various timeframes and
events. Intelligent demand planning can provide users with forecasts that will
demonstrate potential product cannibalism before it occurs. Demand planning
should easily adjust to correspond with conditions and events to focus on
significant areas of concern, such as cannibalism.
COLLABORATION
In most businesses there are multiple people involved in forecasting decisions.
In the simplest form, there are multiple sales roles that are involved in fore-
casting in a sales capacity. When multiple users are contributing to forecasts,
collaboration is invaluable.
Once a forecast has been generated there could be a need for a coworker’s
input. A highly-intuitive and flexible user interface of an ERP solution with
demand planning functionality enables users to create a graphical setup,
which conveys information with great clarity for other users. The collaboration
of a demand planning module enables different users to work simultaneously
on selected parts of a forecast and to provide their views on future sales
without disturbing other parts of the forecast.
Collaboration also allows for users to change forecast models to see how
events and campaigns will impact the forecast. If a forecast shows that
September sales will be low, a user can add a campaign or event to preview
its impact in the forecast. Based on the impacts of the forecast, a user can
use the collaboration of demand planning to clearly pinpoint the areas that
need to be restructured for greater profitability.
The demand planning module
should calculate a lot for your
business, but realize the
value of an ERP solution that
enables the user to have the
final say before any large
business decision.
Collaboration allows for users
to change forecast models to
see how events and campaigns
will impact the forecast.
5 INTELLIGENT DEMAND PLANNING FOR THE FOOD AND BEVERAGE INDUSTRY
WHAT’S NEXT FOR FOOD AND BEVERAGE DEMAND
PLANNING
Demand planning plays a pivotal role in the food and beverage industry,
serving as the key to a profit-driven supply chain cycle. By harnessing real-
time data on your supply chain your business can plan for future demand and
seasonality, beware of the cannibal products and engage in collaboration to
better manage your supply chain. If your organization struggles to manage
your food and beverage supply chain, it might be time for a change.
By implementing an ERP solution with fully supported intelligent demand
planning functionality, businesses can expect to see improved customer
service levels, increased sales, reduced inventory carrying costs, improved
cash flow projections, production smoothing and increased ROI.
To find out more about how IFS is embracing future opportunities for the
food and beverage industry and demand planning, visit our website at
IFSworld.com.
MIKE LORBEIECKI
Mike Lorbiecki is Vice Present of Sales at IFS in North America. Mike has held sales
management positions within the company since 2000 and holds a degree in finance
from the University of St. Thomas in St. Paul, MN.
KARIN RAINESALO
Karin Rainesalo is a Business Solutions Consultant at IFS in North America. Karin
has held positions in international operations, R&D and sales within the company
since 1994, and holds a BS in civil engineering from Carnegie Mellon University and
an MBA in international business from the University of Michigan.
If your organization struggles
to manage your food and
beverage supply chain, it
might be time for a
change.
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IFSworld.com
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