Supply Chain Management-Beginners to Advanced Professionals

Map how supply chain management forms a global network delivering goods and services, detailing information, cash, and physical product flows from supplier to customer.

Explore how value and balance drive fair gains for suppliers, manufacturers, retailers, investors, and customers through on-time payments, reliable contracts, quality materials, and protecting intellectual property.

Explore vertical integration, where all supply chain activities are in-house under one management, illustrated by Ford. Contrast lateral integration, outsourcing non-core activities to suppliers.

Trace the evolution of supply chain management from silos to the extended enterprise, detailing four stages—multi functional, semi functional, integrated enterprise, and extended enterprise—and their impact on communication and value.

Explore inputs to supply chain strategy, including internal and external factors. Examine the business model and its components: strategy, organizational strategy, value proposition, cost structure, revenue models, and core capabilities.

Identify the three core components: low cost advantage, product and service differentiation, and focus and niche marketing. Adopt strategies such as modular design, postponement, and track and trace.

Explore the focus advantage strategy and its pillars of niche marketing, responsiveness, and innovation. Niche marketing targets a specific group, responsiveness delivers fast service, and innovation creates senior friendly products.

Explore organizational strategy in supply chains, including customer focus and alignment, forecast driven, prototype driven, and demand driven approaches, with real-world examples such as Amazon, Toyota, and Ford.

Explore demand driven enterprises and pull systems where production starts only after customer orders, and compare product type driven strategies that tailor planning for staples, seasonal, and fashion products.

Learn how a business plan serves as a written roadmap and input to supply chain strategy, detailing executive summary, market research, marketing, operations, and finance to guide funding and decisions.

Explore how value proposition communicates what supply chain partners deliver to customers, fast delivery, fresh produce, affordability, and high quality, and how added value and packaging strengthen the business plan.

Discover core capabilities that differentiate a company in its business plan, separating decision making (planning and enabling) from execution (sourcing, making, delivery, returns), including human resources, ERP, MRP, and KPIs.

Understand cost structure as a core element of a business plan, separating fixed costs from variable costs. Learn how operating models—from make to stock to engineering to order—shape costs.

Explore asset footprints as the primary cost driver, detailing global, regional, and country-specific models with examples like Intel, PepsiCo, and toothpaste producers.

Explore how a revenue model fits into a business plan and shows how customers pay for products or services to generate profits.

Explore external inputs to supply chain strategy, including technological, natural, economical, and regulatory macro forces, with real-world examples and adaptation strategies for resilience.

Analyze demand by examining past sales data and market behavior, use surveys and questionnaires to forecast future demand, and guide production, inventory, and staffing.

Explore demand analysis by examining past sales, market trends, and customer behavior to forecast future demand and drive optimal production, inventory, staffing, and supply chain efficiency.

Use demand analysis and forecasting to match production to customer needs, reduce inventory, and prevent unsold stock by predicting seasonal demand. Guide marketing, staffing, and resource planning for competitive advantage.

Understand demand patterns to improve planning and forecasting, and identify stable, seasonal, cyclical, and random demand types.

Explore stable, seasonal demand, trend demand, cyclical demand, and random demand patterns with real-world examples like bread, umbrellas, toys, electric cars, booms and recessions.

Explore qualitative, quantitative, and hybrid demand analysis techniques, including market research, focus groups, moving averages, exponential smoothing, and regression analysis. Use expert input to adjust forecasts, blending experience with data.

Identify the four factors shaping demand analysis: economic conditions, market trends, competition actions, and external events. Learn how inflation, currency rates, innovations, pricing, and external events influence consumer buying power.

Forecasting demand teaches how to predict future customer demand using types, accuracy, techniques, and leading and lagging indicators, guiding inventory, production, staffing, and budgeting.

Forecasting predicts sales and product use to determine what raw materials to purchase and how many units to produce in advance, guiding January production decisions.

Explore how forecasting models integrate with the supply chain, including simple moving average and exponential smoothing, with input from marketing, sales, distribution, and customer services to guide production and inventory.

Master the four principles of forecasting, including inherent uncertainty, the need for an error margin, and best and worst-case planning, while aligning methods to your data and business context.

Learn to forecast product mix by predicting the percentage of each flavor customers will buy, enabling balanced production, optimized inventory, and meeting demand across vanilla, strawberry, and chocolate.

Combine forecasts from multiple customers to create a pooled demand forecast, improving accuracy, stability, and distribution efficiency, balancing forecasting errors for a central distributor.

Understand how forecast accuracy differs between short-term and long-term horizons, and improve accuracy by shortening lead times and regularly reviewing forecasts against market and policy changes.

Base demand is the level of purchases and serves as the starting point for forecasting and planning, shaped by electric vehicles, economic shifts, seasonality, random variations, promotions, and price changes.

Define purpose and scope of forecasting, set units and time horizon, analyze historical data for trends, and select forecasting methods, including qualitative and quantitative approaches, time series, and causal models.

Select forecasting type—time series or associated models—based on data availability; prepare data, remove seasonal effects, test forecasts, and choose the best method, then generate a unified forecast and track accuracy.

Explore qualitative and quantitative forecasting methods, including judgments, expert judgments, market surveys, and executive opinions, alongside time series and associative models.

Explore qualitative forecasting methods based on expert judgment and opinions instead of numbers or historical data, using surveys and focus groups when data are uncertain or limited.

Identify the two common qualitative forecasting methods—judgmental and expert judgment forecasting—and examine the default method, with further explanations to come on the next slide.

Judgmental and expert judgement forecasting blends experts' experience with numerical methods to catch what data miss and add a human touch, relying on insights from sales, production, and marketing managers.

Delphi method uses anonymous expert surveys to gather, summarize, and revise input through iterative rounds, producing a shared forecast while reducing bias and solving complex problems.

Forecast time series methods using past data and mathematics to predict future demand. Experience its simple approach for stable demand and its use in short and medium term planning.

Explore three time series forecasting methods: simple moving average, weighted moving average, and exponential smoothing. Learn how they treat past data and adapt to trends and seasonality.

Visualize raw time series data with line charts to reveal trends, seasonality, and cycles for forecasting method selection and decision making.

Learn to de-seasonalize data by removing seasonal effects in time series forecasting, revealing the true trend and guiding inventory, sales, and production planning with seasonal indices.

The simple moving average forecasts demand by averaging the past three months. It uses a moving window that drops the oldest value, not suited for trending or seasonal data.

Explore how the weighted moving average improves simple moving average by weighting recent months more heavily, using weights 1, 2, 3 with (1*first month + 2*second month + 3*third month)/6.

Explore exponential smoothing, the third forecasting method, using last period's forecast and last period's demand with a smoothing constant alpha (commonly 0.3 or 0.7) to update forecasts.

Compare forecasting methods, including simple moving average, weighted moving average, and exponential methods, against actual demand, using deseasonalized data to show how seasonality removal affects accuracy.

Reseasonalizing adds seasonal patterns back into forecasts by multiplying seasonal indices with moving, weighted, and exponential averages to align predictions with real demand.

Use associative forecasting, a quantitative method also called causal, correlation, explanatory, and extrinsic forecasting, to predict outcomes from related internal or external data. Gather data, uncover relationships, and model forecasts.

Explore associative forecasting concepts, defining independent variables as predictors and dependent variables as outputs, and contrast long-term forecasting with short-term forecasts, while discussing correlation, causation, and leading and lagging indicators.

Explore correlation versus causation in associative forecasting, with examples of correlated events like ice cream sales and drowning, and independent and dependent variables driving conversions from improved website copy.

Leading indicators provide early warning signs to plan, adjust, and prevent risk, such as a drop in building permits. Lagging indicators show past outcomes for evaluating performance.

Forecast demand across daily, weekly, and seasonal horizons for the service sector, including restaurants, hotels, and hospitals. Use POS data to track sales in real time and prevent stockouts.

Identify how bias and random variation drive forecast errors. Learn to detect repeated overestimation or underestimation and analyze cumulative forecast versus actual demand.

Learn how to measure forecast error using units, percentages, monetary value, and business impact to improve forecasts and reduce costly mistakes.

Understand forecast errors as the gap between actual and forecasted demand, calculated as the absolute value of actual minus forecast. Learn how these errors evaluate accuracy and improve forecasting models.

Learn how absolute value ignores sign and compute absolute percentage error using (actual minus forecast) divided by actual, times 100, with actual demand 29 and a difference of 4.51.

Calculate forecast accuracy by subtracting forecast error from one, as 1 - 0.155 = 0.845 or 84.5%, indicating a more reliable forecast and better planning decisions.

Compute mean absolute deviation to assess forecast accuracy by averaging the absolute errors between actual value and forecasted value over months, using exponential smoothing.

Learn how tracking signals diagnose forecast bias by comparing cumulative forecast error to mean absolute deviation, enabling you to adjust models to avoid overstocking or underestimating demand.

Track the tracking signal to spot forecast bias; stay plus four to minus four for sustainability; fix your forecasting process to improve accuracy and avoid wasted money and missed sales.

Use the standard deviation of forecast errors, derived from the mean absolute deviation multiplied by 1.25, to assess demand variability and forecast reliability.

Assess forecast accuracy using mean squared error by squaring forecast errors, summing them, and averaging over periods; lower values indicate better forecasts.

Describe mean absolute percentage error (MAPE) as a forecast accuracy metric, show its formula and monthly calculations, and interpret its percentage-based forecast error.

Explore demand management within supply chain management by forecasting seasonal demand, adjusting pricing and promotions, and aligning production and inventory to meet capacity and business goals.

Explore the four components of demand management—planning demand, communicating demand, influencing demand, and prioritizing demand.

Master demand planning by forecasting customer demand and turning it into a dynamic, actionable plan aligned with procurement, production, and inventory, guided by commitments, marketing, and strategy.

Learn how a demand plan guides operations, logistics, customer service, product development, sales, and finance through cross-functional validation, production and staffing planning, and revenue forecasting.

Learn how an 18-month demand plan integrates procurement, inventory, and production, with revisions twice a month to boost agility and strategic alignment.

Improve demand management by structuring and targeting communications to minimize surprises, fit the audience, and provide timely, accurate updates for faster, better decisions.

Influencing demand bridges customer wants with business delivery through external campaigns and internal product development guided by market research. Promote customer insight to shape demand and meet objectives.

pdca cycle—plan, do, check, and act—as a demand-influence process that initiates quality improvement by implementing plans, observing outcomes, reviewing alignment, and acting on findings.

Coordinate product, brand, marketing, and sales teams to conduct market research, develop strategic and tactical plans, and set budgets, timelines, and accountability for consensus alignment of supply and demand.

Understand the demand influencing circle in the dual phase, where product and brand management and sales and marketing execute launch, manage, and retire offerings, create demand, and reinforce brand value.

Understand the demand influencing cycle where demand managers compare actual versus planned results, gather qualitative feedback, and perform root cause analysis to improve future campaigns through ongoing dashboard monitoring.

Explore the action phase of the demand influencing cycle where managers replan and adjust strategies—revising promotion, pricing, shelf signage, displays, and digital marketing to address variances and improve profits.

Collaborative demand influence unites sales, marketing, and external partners to shape customer demand through trust and clear communication. Leaders must listen actively, explain benefits, and delegate tasks to foster teamwork.

Link demand management with product brand strategy, sales, and operations to meet market needs through strategic alignment, customer-centric development, and value-supply balance via execution interface and plan integration.

Marketing provides critical input to the demand plan by capturing customer needs and market dynamics. Demand management relies on inputs from marketing, sales, and operations to forecast accurately.

Link demand management components through integrated forecasting, planning, and execution, using Cpfl and Cpfr tools to enable trusted data sharing across partners and reduce lead times.

Collaborative planning, forecasting, and replenishment (cpfr) unites suppliers, manufacturers, retailers, and logistics partners to share forecasts. This cpfr aligns planning, forecasting, and replenishment to prevent stockouts and excess inventory.

Connect distributors through a unified integration system to share inventory, improve visibility, and enable direct sourcing across dealers, driving cost savings and space efficiency.

Explore quick response programs as a demand management tool enabling suppliers and retailers to share sales data quickly and automatically, with point-of-sale scans triggering rapid replenishment.

Vendor managed inventory enables suppliers to monitor, manage, and restock a customer's shelves using shared sales data to trigger replenishment and remove damaged and expired items.

Align your supply chain by coordinating people, processes, and technology toward a common goal. Explore three alignment types—people, process, and technology—and how they reduce delays and improve information flow.

Align supply chain actions with organizational goals, balance internal supply and customer demand, and collaborate with trading partners to reduce costs and speed market response.

Collaborate across suppliers, manufacturers, and distributors to achieve shared goals, building a vendor relationship as the basic, transactional, arm's length link in the supply chain spectrum.

Explore strategic alliances and partnerships within supply chain relationships, where two or more firms align long-term goals, share resources, reduce risk, and boost innovation and customer satisfaction.

Develop and implement successful supply chain relationships by guiding five steps: perform strategic assessments, decide to form relationships, evaluate alternatives, select partners, and structure the operating model.

Perform strategic assessments to align logistics with business goals, conduct a logistics audit to identify waste, gaps, and readiness for global expansion and supplier or logistics provider partnerships.

Identify the six key outputs of a strategic assessment: business objective view, needs assessments, environmental and industry profile, logistics network profiling, performance benchmarking, and gap analysis.

Weigh your options for forming a supply chain partnership, choosing between vendor, strategic partnership, or in-house logistics, and evaluate internal strengths to decide whether to outsource to a logistics company.

Develop and sustain a true core competency by building deep expertise, aligning with strategic fit to goals, and investing in people, technology, and continuous improvement.

Evaluate core competency through expertise, strategic fit, and ability to invest, and choose the relationship type that maximizes value for both partners, fostering long-term mutual growth.

Evaluate alternatives and partnerships using Lambert's model to decide the right alliance, considering drivers like cost reduction and market reach, and facilitators such as trust and shared goals.

Highlight additional success factors in supply chain relationships, including exclusivity, shared competitors, physical proximity, proud relationship history, and sharing the high value end user.

Engage marketing, finance, manufacturing, HR, and technology in partner selection to gain diverse perspectives, balance cost and risk, align production and culture, and build long-lasting partnerships.

Select the best logistics partner by evaluating track records, qualifications, experience, and financial reliability; engage finalists with decision makers from information technology, marketing, and finance to align expectations before signing.

Define the operating model structure by detailing activities, planning routines, joint controls with KPIs and dashboards, and clear communication and risk sharing, contracts, and investments to create an operations manual.

Execute the partnership by implementing the operating model and following defined roles and communication. Regularly review and improve processes to stay aligned with goals, rules, and functioning systems.

Learn the sales and operations planning process step by step. Build cross-department collaboration and use NLP to balance demand and supply, boost customer satisfaction, and drive results.

Drive a monthly, cross-departmental planning meeting uniting sales, marketing, supply chain, product development, and finance to form one integrated plan that aligns demand with production.

Illustrates how Snop links sales, marketing, product development, supply chain, and finance into a single integrated plan, aligning goals across departments to balance demand, supply, and resources.

Coordinate sales and operations planning to align supply, demand, and new product plans; connect strategic goals to daily operations and the annual business plan through monthly reviews.

S&OP meetings bring different departments together to align demand forecasts, supply capabilities, and financial targets. Follow five steps: data gathering, demand planning, supply planning, pre meeting, and executive meetings.

Drive alignment of demand and supply through the s&op process by reviewing performance, evaluating demand and supply, and reconciling a collaborative plan across functions before final approval.

Explore the S&OP cycle's monthly cadence, with two-plus weeks of cross-functional prep, an executive meeting approving a balanced demand-supply plan, and a cadence adjustable to your business.

Learn how replanning and cross-functional alignment in Snop drive timely analysis of submitted plans, tactical responses, and continuous updates across departments to keep the organization aligned.

Assess performance and product reviews to identify changes affecting supply and demand, led by product and brand managers with stakeholders, ensuring plans align with operations and financial objectives.

Timeliness and data quality drive sales and operations planning using up-to-date data to inform production, inventory, and sales decisions. Collect data after month-end and update forecasts with the latest figures.

Sales and marketing leaders lead demand review meetings where product, brand, and sales teams align on one forecast, documenting assumptions for future production planning and marketing alignment.

The demand consensus meeting blends forecasts from sales, marketing, and product teams into one official plan, with the demand manager drafting it and leaders committing to the final forecast.

Drive focus and alignment in demand reviews by examining changes since the last forecast, validating key assumptions, and focusing on sales, revenue, and inventory levels to close the plan-to-goal gap.

The demand manager coordinates a pre-meeting dashboard that consolidates inputs, flags gaps between forecast and production, and highlights metrics, assumptions, opportunities, risks, and decisions for 18-month rolling demand plans.

Identify and minimize demand plan variance by analyzing forecast accuracy, triggering strategic reviews after three months, and aligning all departments around a single consensus plan.

Align marketing, brand, and sales to build a medium-term demand plan in S&OP, incorporating promotions and launches across 16–18 months, with senior sign-off and a sales-marketing handshake before operations.

Align the consensus demand plan with a feasible production plan by evaluating capacity and logistics. The supply team identifies constraints and finalizes a profitable official production plan via a handshake.

Finalize the supply plan by evaluating if we can meet demand and profit within resources, aligning demand and supply or adjusting numbers to match.

Balance supply and demand mismatches by expanding capacity, adjusting demand, or pre build inventory, with examples from ice cream production and airline pricing to manage cost and risk.

Aligns demand and supply plans with business goals by evaluating revenue, profits, cash flow, and capex needs, and recommends options that meet demand within budget to support long-term growth.

Coordinate a pre-s&op meeting with finance, demand management, and operations to review demand, supply, and financial data, set the agenda, and escalate issues to executives for final decisions.

Executives convene a monthly s&op meeting to align demand and supply, integrate finance and operations, and establish a final consensus forecast and supply plan for revenue, profit, and cash flow.

Execute reviews drive decision making and alignment by evaluating performance metrics, budgets, and product mix, then approve strategic actions and supplier contracts to meet goals.

Clarify the final s&op plan across the company to align sales, supply, and finance. Enable sales teams to pledge realistic deliveries by sharing material availability and forecast approvals.

Align all departments through sales and operations planning to create one shared plan that matches capacity with customer demand, builds cross-functional buy-in, and maintains accountability.

Sales and operations planning creates a clear 12-18 month plan and unified cross-functional planning, aligning demand with supply, budgets, and long-term resources while bridging customer value and supply chain efficiency.

Drive continuous improvement in S&OP through improvement cycles, monthly reviews, and performance metrics that compare actual results to plans, aligning budgets and supply chain for smarter, adaptable forecasting.

Align demand planning with s&op by delivering time-phased forecasts by product family and cross-functional estimates in units or dollars, including sales targets, marketing promotions, and logistics capacity.

Market research identifies opportunities and targets market segments to focus on. Marketing designs pricing and promotions and executes advertising campaigns to capture market share while aligning production with customer demand.

Operations contribute to S&OP by creating a high level production plan for product families 12 to 18 months ahead and aligning with marketing's voice of customers to meet demand efficiently.

Group products into families to simplify S&OP planning across sales, marketing, and operations. Define outputs, inventory levels, backlog, and resources by family to align demand with production capability.

Assess production capacity in SAP to ensure the factory can meet demand, identify bottlenecks, and adjust production plans across product families for 12 to 18 months to balance supply.

Decide production after assessing demand, forecast, capacity, and constraints. Use level, chase, or hybrid strategies to balance stability, flexibility, and inventory use.

Learn supply and demand strategies by product family, including make to stock, make to order, and assemble to order, supported by data insights, capacity, inventory costs, and forecast accuracy metrics.