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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!
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. Learn
more
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. Learn more
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.
If you have attended a recent web workshop, we invite you to
provide your
feedback as soon as possible. Please
click here
to submit
your feedback online. Thank you.
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