demand mgmt and customer service

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    DEMAND MANAGEMENT

    AND CUSTOMER

    SERVICE

    1

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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