Oberto Sausage Finds the Right Recipe for Forecasting
Oberto Sausage Company is a leading manufacturer of meat snacks and sausage
products. Based in Kent, Washington, the family-owned company has been in
business for more than 85 years. Its brands include Oh Boy! Oberto, Lowreys Meat
Snacks, Pacific Gold Meat Snacks and Smokecraft Real Smokehouse Snacks. Oberto
sells its products directly to mass merchandisers and major supermarket chains.
As a leader in a category which has experienced consistent double-digit growth and
where event-driven demand is always present, Oberto needed a forecasting system
which would allow them to:
- routinely model and forecast ongoing "base" demand;
- easily incorporate field-based knowledge of expected deviation from base
- keep track of changes to the forecast along with the assumptions underlying
- develop consumption-based forecasts for key business segments and integrate
those forecasts into the overall forecast, and;
- maintain an optimal balance between forecast quality and the complexity,
cost and resources devoted to generating the forecast.
Eric Kapinos, Director of Forecasting and Planning at Oberto, is a veteran forecaster
who began his career in the early-90fs as a Forecast Analyst for Starbucks
Coffee. Over the years, he has served on several forecasting teams, developing
forecasting processes and selecting/implementing solutions to support those processes.
The solutions have ranged from home-grown, Excel-based systems to commercially
developed, large-scale planning systems.
Kapinos notes, "I started out being a big believer in consensus forecasting and
collaboration. But I came to realize you never have absolute consensus, and collaboration
should only be used where it's adding value." At Oberto, Mr. Kapinos has
structured a successful forecast process that combines statistically-based modeling
approaches with judgmental input. The process is executed by a focused team of
individuals, each of whom adds unique value to the forecast. The tools used to
support the process are Forecast Pro Unlimited, Forecast Pro Unlimited Collaborator
and Forecast Pro XE.
We have a full compliment of Forecast Pro products at Oberto, explains Kapinos, We use Forecast Pro
Unlimited as the main foundation for our demand forecasting processits where the forecast is generated and
maintained. After we establish the forecast, it is fed into our ERP system where it drives procurement, planning/
scheduling and plant execution.
One of our biggest forecasting challenges is really understanding what our true baseline demand is. We start
by creating a relatively conservative base forecast thats statistically-driven off history. Most of the time, we
utilize the Expert Selection in Forecast Pro Unlimited. To accommodate abnormal conditions in the history,
things that happened that arent expected to happen again in the futurepromotions, weather, outlierswe
use event models. Thats our starting point.
Next, this base forecast (or, as Kapinos terms it, the Business as Usual forecast) is passed off to the Demand
Manager and Customer Service Representatives (CSRs) who review it in Forecast Pro Unlimited Collaborator.
The CSRs are responsible for making changes to the base forecast, incorporating field-based knowledge of
expected deviation from base demand. Kapinos notes, The forecast team interfaces directly with the sales team
and often has knowledge of unusual conditions, things that wouldnt be reflected in the history. Their job is to
make sure the forecasting process captures this Business as Unusual. When appropriate, they use Forecast Pro
Unlimited Collaborator to enter forecast overridesreplacing the statistical baseline forecast.
The other integral players on the Oberto team are the Forecast Analysts. The Forecast Analysts focus on important
customers for which consumption data is available. They use the dynamic regression (causal) modeling
capabilities in Forecast Pro XE. Kapinos explains, For higher value Business Units the Forecast Analysts build
causal models to capture promotional events or any other unusual conditions in the marketplace, and the
results are then moved into Forecast Pro Unlimited as overrides. The Forecast Analysts concentrate on the 20%
of our customers and events that drive 80% of our volume.
The forecasting group established a collaborative forecasting process with three primary steps:
After initially employing a more complex and widely-deployed forecasting process and system, Oberto has
opted for a more focused and streamlined approach using Forecast Pro as its backbone. Notes Kapinos,
Theres a sweet spot really. What you dont want to do is have a sales team rolling up an SKU-level forecast for
every SKU-by-week. We use our sales team to provide intelligence only when history doesnt tell us whats
happeningand this approach has worked well.
Having a place to retain overrides and maintain notes systematicallyjust good administrative practices with
forecastingis very, very useful. Even as simple as it is in Forecast Pro, it is powerful functionality. Were able
to quickly review our forecast overrides and understand why they were made.
Kapinos points out key benefits of the forecast process at Oberto, Weve been able to sustain years of doubledigit
growth while inventory value has remained constant. Weve also been able to strategically identify potential
gaps in our plans where we may have shortfalls with important customers and move proactively to fill those
Our forecasts are used for everything from planning/scheduling all the way up to revenue projection by the