From Forecast to Fulfilment: Demand Planning, S&OP and Supply Chain Decision-Making

Demand uncertainty has become a major managerial challenge across sectors. Frequent market shifts, changing customer behaviour, supply disruptions, promotional volatility, inflationary pressures, geopolitical uncertainty and digital-channel growth have made supply-chain planning more complex. Many organisations already possess ERP systems, dashboards and analytics outputs. However, the managerial challenge often lies in interpreting forecast outputs correctly and converting them into practical decisions related to stock levels, procurement commitments, production or capacity plans, distribution readiness and fulfilment reliability. The programme is therefore timely because it builds an applied forecast-to-plan capability. It helps managers ask the right planning questions: How reliable is the forecast? Where is the bias? What does the error imply for inventory and service levels? When should managers override forecasts? How should sales, operations and planning teams reach consensus? The programme also responds to the growing use of digital dashboards and AI-assisted forecasting by emphasizing validation, managerial judgement and decision accountability. The programme addresses the gap between forecasting output and supply-chain action. Existing analytics-oriented programmes generally focus on broader data-driven decision-making, advanced analytics, machine learning, artificial intelligence or business intelligence. This programme is different because it is anchored specifically in Operations Management and supply-chain planning. The programme is not positioned as a generic analytics, AI, dashboarding or communication programme. Its distinct focus is the managerial conversion of demand signals into supply-chain decisions: inventory, procurement, capacity, production planning, distribution, fulfilment and S&OP alignment. The programme also avoids redundancy with broad supply-chain management programmes. It does not attempt to cover the entire sourcing, logistics or supply-chain strategy domain. Instead, it focuses on one critical planning capability: moving from demand signal to executable fulfilment plan.

Additionality:

  • Forecasting is taught as a planning capability, not as a statistical technique alone.
  • Forecast error is linked to operational consequences such as safety stock, service level, capacity pressure and fulfilment risk.
  • The S&OP process is used to connect sales forecasts, operational feasibility and managerial judgement.
  • Digital and AI-assisted planning tools are included, but with emphasis on validation, bias detection and responsible use.
  • The programme reflects the competency of the Operations Management area while benefiting from interdisciplinary inputs on digital tools and information systems.

Contents

  1. Demand Uncertainty and the Forecast-to-Plan Logic
    • Why supply chains fail when demand signals are misread.
    • Demand uncertainty across manufacturing, retail, e-commerce, FMCG and service operations.
    • Demand patterns: level, trend, seasonality, promotional spikes, intermittent demand and disruptions.
    • Forecasting horizons for short-term, medium-term and long-term supply-chain decisions.
    • From forecast to plan: linking demand forecasts with inventory, procurement, capacity, production and fulfilment.
  2. Practical Forecasting Methods and Accuracy for Supply-Chain Managers
    • Naive forecasts, moving averages and weighted moving averages.
    • Exponential smoothing, trend-adjusted forecasting and seasonal indices.
    • Regression-based forecasting with business drivers.
    • Forecast accuracy versus forecast usefulness.
    • MAD, MAPE, RMSE, tracking signal and forecast bias.
    • Guided exercise: building, comparing and interpreting simple forecasting models.
  3. Forecasting for Inventory, Procurement, Capacity and Fulfilment Decisions
    • Forecasting for inventory planning, replenishment and service levels.
    • Forecast error and safety-stock implications.
    • Forecasting for procurement and supplier planning.
    • Forecasting for capacity and aggregate planning.
    • Forecasting for distribution, fulfilment and customer-service reliability.
    • Case discussion: converting forecast outputs into a supply-chain plan.
  4. Dashboards, Digital Tools and AI-Assisted Demand Planning
    • Use of dashboards in demand planning and supply-chain reviews.
    • AI-assisted exploratory analysis of demand data.
    • Anomaly detection and unusual demand movements.
    • Scenario analysis and what-if planning.
    • Risks of automated forecasting: false confidence, weak validation and misleading narratives.
    • Faculty-led demonstration using Excel / analytics tools and dashboard interpretation.
  5. Demand Planning, S&OP and Cross-Functional Alignment
    • Demand planning as a cross-functional process.
    • Sales forecast, operations plan and supply constraints.
    • Consensus forecasting and managerial judgement.
    • Forecast overrides: when to intervene and when not to.
    • Designing an S&OP review structure.
    • Role-play / case: resolving disagreement between sales, operations and planning teams.
  6. Building Demand Planning Capability and Capstone: From Forecast to Fulfilment
    • Forecasting maturity in organisations.
    • Data requirements, demand-history quality, SKU hierarchy and aggregation levels.
    • Forecasting KPIs and planning KPIs.
    • Roles, responsibilities and governance in demand planning.
    • Group capstone using a supply-chain demand dataset.
    • Presentation of forecast-to-plan recommendations, faculty feedback and action planning.

Objectives

The programme aims to help managers understand, evaluate and use demand forecasts for supply-chain decision-making. The emphasis is not only on generating forecasts, but on converting demand signals into inventory, procurement, capacity, production planning, distribution, fulfilment and S&OP decisions.

Specific objectives:

  • To develop managerial understanding of demand uncertainty, demand behaviour and forecast limitations.
  • To introduce practical forecasting methods through guided Excel-based illustrations and business datasets.
  • To help participants evaluate forecast accuracy, forecast bias, forecast error and forecast usefulness.
  • To connect forecasts with inventory, procurement, capacity, aggregate planning, distribution and fulfilment decisions.
  • To demonstrate how dashboards, scenario analysis and AI-assisted tools can support demand planning without creating false confidence.
  • To build participant capability in using forecasts within S&OP, consensus planning and cross-functional decision processes.

Who should attend?

The programme will be relevant for organisations where demand uncertainty affects inventory, procurement, capacity, fulfilment and customer-service performance. Potential client organisations include:

  • FMCG and consumer goods companies.
  • Retail and e-commerce firms.
  • Automotive and auto-component manufacturers.
  • Pharmaceutical and healthcare product companies.
  • Industrial goods and manufacturing firms.
  • Logistics, warehousing and 3PL organisations.
  • Consumer durables and electronics companies.
  • Food and agribusiness supply chains.
  • Public sector enterprises with inventory and procurement-planning functions.
  • Large service organisations with demand and capacity-planning challenges.

Relevant participants:

Supply-chain managers, demand planners, operations managers, inventory managers, procurement managers, production-planning managers, logistics managers, S&OP managers, business analysts and mid-to-senior executives involved in planning under demand uncertainty.

Venue & Duration

The programme is scheduled during November 23-25, 2026 on a residential basis at MDI Campus, Mehrauli Road, Sukhrali, Gurugram. Accommodation for participants would be available at MDI Campus from the noon of November 22, 2026 to the forenoon of November 26, 2026.

Registration & Fees

Participants should be nominated by their organizations. The enclosed nomination form should be completed and returned with all the details. The fee of the program which includes a professional fee and all charges for boarding, lodging and supply of course materials during the programme. GST as applicable will be charged extra in addition to the programme fee. Payment should be made by Cheque/NEFT/RTGS.

S.noParticularPer participants Program Fees (exclusive of GST)
1Single RoomRs. 45000/-
2Double Sharing RoomRs. 42000/-
3Non residentialRs. 40500/-

Discount Policy

With a view to our long-term relationship with your esteemed organization, we are pleased to introduce the discount policy in this programme. The discount will be observed in the following conditions: (discount is applicable in NEPAL also)

  • 10% Discount against 3-5 nominations
  • 20% Discount against more than 5 nominations

Important Dates

The last date for receipt of nominations is November 08, 2026. The last date for withdrawal of nominations is November 09, 2026. Any withdrawal received after this date will be subject to deduction as per the Institute's rules. However, substitution may be permitted.

Nominating organizations are advised to await confirmation of acceptance of nominations(s) before sending the participants to the programme venue.