
Collaborate across finance, marketing, R&D, and supply chain to build unconstrained demand using diverse forecasting methods, evaluating cannibalization, new initiatives, and marketing activities to drive accurate, feasible sales projections.
Exponential smoothing uses historical data to reveal long-term seasonality by smoothing fluctuations and weighting relevant data, producing forecasts with F_{t+1}=αD_t+(1−α)F_t, ideal for seasonal data.
A sales forecast projects the expected bookings at the end of a measurement period, typically weekly to quarterly, using qualitative and quantitative techniques, including top-down or bottom-up approaches.
Compare top-down and bottom-up forecasting: macro-driven board decisions versus micro, territory-based sales data, considering population growth, customer preferences, and supply capabilities to build SKU-level forecasts.
Integrate supply and demand planning by aligning intersection points, shared building blocks, and overlap areas. Improve unconstrained demand handling, forecast accuracy, and inventory control through cross-functional collaboration.
Adopt a rolling forecast to replace static budgets, maintaining a constant horizon of five quarters or 15 months through add drop updates, enabling driver-based, project-based planning for timely decisions.
Improve forecast accuracy for sales forecasts by enabling an enterprise wide data flow, reducing inventory and carrying costs, and strengthening cash flow and revenue through better demand planning.
This is a unique training course in its likelihood of implementation. Firstly, the course will teach you how to make mirror reflection of market demand by applying effective solution of developing sales forecast.
There will be horizontal techniques & vertical approaches which are constraining the forecasts figures to be at equilibrium phase.
Fundamental components to integrate demand with supply will be demonstrated as well in order to have high level of effective sales & operation planning (S&OP). These are; rolling forecast, time fence policy, forecast variances, etc.
Forecasting accuracy methodologies will be explained as well, to drive assurance of having high level accurate sales forecasting figures and to operate at optimum cost of operation.
The course is explaining each concept by an exercise and this is what differentiating this course and making it unique one.
Each exercise is in a plug-and-play format, using Microsoft Excel to present information from a conceptual point of view. From this, it should be easy to compare the information presented to your current ERP system.