demand mgmt and customer service
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DEMAND MANAGEMENT
AND CUSTOMER
SERVICE
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Demand Management
Defined as focused efforts to estimate and
manage customers demand, with the intention
of using this information to shape operating
decisions. Recent practice has been just the opposite, with
the manufacturer determining the what, where,
when, and how many of the sale.
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Demand Management
It is this disconnect between manufacturing and
the demand at the point of consumption that
attracts attention to demand management.
Any attention paid to demand management will
likely result in benefits flowing through the
supply chain.
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Demand Management
Demand management takes supply chain management
to the next level by enabling an automated ecosystem
that simultaneously maps demand forecasting against
factors like supply restrictions, customer commitments,inventory counts, financial predictions, as well as
patterns of behavior that can affect demand at any given
time.
Demand management is a more proactive approach
than its predecessors relying on highly sophisticated
quantitative analytics and advanced modeling
techniques to preset tolerance levels, predict and
pinpoint problem areas, monitor and adjust strategies
dynamically, and achieve real-time visibility and synergy
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Demand Management Objectives
Gathering and analyzing knowledge about
consumers, their problems, and their unmet
needs.
Identifying partners to perform the functionsneeded in the demand chain.
Moving the functions that need to be done to the
channel member that can perform them most
effectively and efficiently.
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Demand Management Objectives
Sharing with other supply chain membersknowledge about consumers and customers,available technology, and logistics challengesand opportunities.
Developing products and services that solvecustomersproblems.
Developing and executing the best logistics,
transportation, and distribution methods todeliver products and services to consumers inthe desired format.
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Demand Forecast ing
A major component of demand management is
forecasting the amount of product that will be
purchased by consumers or end users.
In the integrated supply chain all other demandwill be derived from the primary demand.
A key objective is to anticipate and respond to
primary demand as it occurs in the marketplace.
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Demand Forecast ing
Demand forecasting is essentially a linear
process of translating input assumptions into a
forecast of expected sales; demand
management, on the other hand, is a highly
iterative process that involves driving to a
revenue and profit target through prioritization of
customers, channels, products, geographiesand the demand stimulation programs available
to the enterprise.
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Demand Forecast ing
Keeping inventory levels low, costs down and
customers happy in a Web based, now largely
global marketplace requires companies to
proactively forecast and manage supply anddemand dynamically supported by best-of-
breed techniques, technologies and practices.
Today, this calls for a delicate balance of art,
science and technology.
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Demand Forecast ing
Numerous forces, some of which overlap, must
come into play:
InternalThe brand; market segment; product mix;
corporate culture; sales performance; geographicpresence, and customer satisfaction levels
Economic The industry; the business climate;
market share; financial performance; unemployment
rates, and IT expenditures Technological Current install base;
hardware/software changes; price/performance vs.
competition, and benchmarks.
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From Plann ing to Managing
Demand planning has enabled companies to more
accurately forecast what their industry, market and
customers will require.
This is not a new concept, but for first-generation
Internet-dependent enterprises, demand planning has
permitted them to link and integrate processes across
networks; enable closer collaboration among previously
isolated parties; respond dynamically to market and
consumer trends, and deliver a better, more rewardingexperience across the value chain.
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From Plann ing to Managing
Armed with advanced tools, technologies and
forecasting methodologies, businesses have honed their
ability to view numbers and predict information within
various contexts, model independent and dependent
demand among products and channels, and generatestatistically based forecasts based on the most recent
data, causal factors and events.
This has helped fulfill the demands of a more
challenging customer base; better leverage past productperformance; more effectively predict and manage
replenishment; align price and profit margins; and
maintain a leaner, more profitable supply chain overall.
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Forecast ing and responding
in real-t ime
Organizations looking for an effective demand
management model should seek a Web-based solution
that provides high levels of scalability, economy,
usability, availability, synergy and functionality.
Such a platform should support a real-time feedback
loop that is designed to enable an enterprise to
dynamically forecast against a number of variables,
such as supply, customer orders, inventory, and financial
objectives.
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Collaborative Planning, Forecasting, and
Replenishment
CPFR is recognized as a breakthrough businessmodel for planning, forecasting, andreplenishment.
Uses available Internet-based technologies tocollaborate from operational planning throughexecution.
Developed by Wal-Mart and Warner-Lambert in
1995.
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Collaborative Planning, Forecasting, and
Replenishment
The plan and the forecast are entered bysuppliers and buyers into an Internet accessiblesystem.
Within established parameters, any of theparticipating partners is empowered to changethe forecast.
Only a few CPFR initiatives have been made
public, but results are impressive.
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A comprehensive demand management
so lu t ion
A comprehensive demand management solution should
enable a business to:
Synchronize global planning
Forecast only the products and components that make sense
from a profit and/or strategic perspective
Utilize best-of-breed statistical forecasting techniques
Employ a forecasting tool that balances performance and
scalability
Apply event-based planning Perform real-time data synchronization.
Employ rules-based modeling
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A comprehensive demand management
so lu t ion
Simplify multidimensional analysis with easy-to-use tools
Afford a seamless workflow
Benefit from an open, services-based, 64-bit architecture and
a common Web interface
Utilize industry-standard databases
Employ automated, closed-loop, industry-specific workflows
based on best practices
Gather predictive intelligence with proactive demand
indicators Enable more efficient collaboration with all internal
stakeholders and external partners.
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Order Fulfillment and Order
Management
Order fulfillment activities differ as a supplychain matures through transactional tointeractive to interdependent levels.
Typical Order fulfillment cycle involves fiveactivities:
Order Transmission
Order Processing
Order Selection Order Transportation and
Customer Delivery
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Order Fulfillment and Order
Management
Order-management systems represent the
principal means by which buyers and sellers
communicate information relating to individual
product orders and is key to operationalefficiency and customer satisfaction.
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Order-Management Functions
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Customer Service
Customer service is often the key link between
logistics and marketing.
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Customer Service
Defining customer service
In terms of levels of product
In terms of types of customer support/service
In terms of levels of involvement
In terms of complexity of customer service
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Customer Service
Elements of Customer Service
Time
Dependability
Cycle timeSafe delivery
Correct orders
Communications Convenience
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Customer Service:
Performance Measures
Traditional % availability in base units
Speed and consistency
Response time to special
requests
Speed, accuracy, andmessage detail ofresponse
Response and recoverytime requirements
Response time, quality ofresponse
New Orders received on
time
Orders received
complete Orders received
damage free
Orders filledaccurately
Orders billedaccurately
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Customer Service: Overview
If the basics of customer service are not inplace, nothing else matters.
Customers may define service differently.
All customer accounts are not the same. Relationships are not one dimensional.
Partnerships and added value can lock upcustomers.
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Stockouts
Four possible outcomes from a stockout
Customers wait
Back orders
Lost sales Lost customers