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Holistic Demand Planning
This workshop will explain the methodology and process behind
accurate demand forecasts and how to effectively use sales and
marketing intelligence to arrive at a consensus plan. The
focus will be on demand modeling using popular statistical models,
the methodology to perform model diagnostics, forecast accuracy
measurement and the process to incorporate market intelligence.
- Customized Workshop -
Learn More!
Supply
Chain Metrics
This workshop will review the gamut
of organizational metrics for a manufacturing supply chain including
customer service metrics (fill rates), inventory metrics (inventory
turns, dead and near-dead inventory, inventory coverage), manufacturing
planning (production volatility, manufacturing schedule adherence),
demand metrics (forecast accuracy and forecast bias), and transportation
and distribution metrics (on-time shipping performance and order
cycle). This workshop will explain how these
measures are inter-related and the effect of organizational bias
on the observed metrics and a model of how we can align incentives.
- Customized Workshop -
Learn More!
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We offer Web-workshops and customized in-person
training in the following tracks:
1. Demand
Planning and Supply Chain Forecasting.
Demand Planning is
the art and science of accurately forecasting
the demand for your supply chain. In this workshop, you will learn
how to develop a baseline statistical forecast
and leverage a collaborative process
to add customer intelligence.
The result is a more accurate plan that may include promotional
activity, customer intelligence, and display activity.
An accurate demand plan helps you reduce inventory costs and increase
customer service levels. When properly implemented and used in
the supply chain planning process, the demand plan helps create
a lean and customer centric supply chain. Learn
more
2. Supply
Chain Metrics.
This workshop will review the gamut
of organizational metrics for a manufacturing supply chain including
customer service metrics (fill rates), inventory metrics (inventory
turns, dead and near-dead inventory, inventory coverage), manufacturing
planning (production volatility, manufacturing schedule adherence),
demand metrics (forecast accuracy and forecast bias), and transportation
and distribution metrics (on-time shipping performance and order
cycle). We will discuss the mechanics as well as organizational
ownership of these measures. This workshop will explain how these
measures are inter-related and the effect of organizational bias
on the observed metrics and a model of how we can align incentives.
You will learn
 The
mechanics of key supply chain metrics used in a manufacturing
organization
The inter-connectivity
of metrics across the supply chainLearn
more
3.
Inventory Optimization using Demand Metrics.
The objective of this workshop is to review the close link
between forecast accuracy and inventory optimization and discuss the
implications of forecast error for inventory strategies – Lead time
uncertainty, safety stock, and planning to forecast. The workshop
will also look at the mechanics behind the various demand metrics.
You will learn
The
design of the performance measurement process that will control
for bias
How the
measurement process, when carefully designed, can align incentives.Learn
more
4.
Collaborative Planning. Collaborative forecasting and replenishment
activities extend an organization’s supply chain to include
both the suppliers and the customers. The collaborative processes
truly represent the B2B extensions of the internal supply chain
and require agreed-upon goals, a set of rules and involve detailed
information sharing between suppliers and customers. In this session,
we will review the various collaboration initiatives that are
fairly common in the CPG sector including VMI, CMI, ECR, and CPFR
and their key benefits to the manufacturer's supply chain. We
will precisely lay out the mechanics of the different collaborative
initiatives and how to set up a collaboration process with your
customers.
5.
Retail and POS Forecasting.
In the Strategic Forecast process,
the retail take-away is a key input. We incorporate the effects
of changes in Market share, consumption patterns, and inventory
cycles to model a shipment forecast. Hence this is a demand-driven
pull forecast. This workshop will explain how demand forecast
is modeled as a function of point-of-sale consumption forecast
and changes in retail inventory. We explain the mechanics of obtaining
and using syndicated POS data from sources like Nielsen's and
IRI.
You will learn:
The
details of Share calculations and inventory cycles
The consumption
forecast model using POS data
The effect
of Promotional spends on Market Share
A simple
model of Marketing Mix and the share optimization process.
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