Large Activewear Company

Client Challenge

Excel based forecasting process, aimed at delivering a constrained forecast
Forecasting process using experience and “gut feel” only
No usage of statistical methods to support and kick-start the forecasting process by providing a baseline forecast
Difficulty in utilizing multiple historical data streams from external and internal sources (POS, Nielsen, shipments, sales)
No forecast process discipline (forecasts constantly changing), resulting in invalid performance measurements
Lack of well-defined S&OP process, resulting in limited collaboration between sales, marketing, and manufacturing
Systems integration suffers from inconsistent item master numbering process and historical data spread over multiple item versions

Detailed assessment of As-Is forecasting process and key forecasting requirements
Identification of key benefits and definition of To-Be Forecasting and S&OP processes
Mapping of requirements and desired benefits to Demantra DM (and Strategic Network Optimization) functionality
Development of Forecast Model Design (incl. accuracy measurements), System Configuration Blueprint, and Integration Design
Definition of supporting Demantra Workflows, and creation of data requirements specifications
Implementation, configuration, and testing of Demantra Demand Management software and procedures

Integrated demand forecasting system to develop unconstrained forecast of market demand
Consistent and collaborative process allowing better analysis and proactive input into S&OP process
Ability to analyze multiple forecast input data streams and impact on forecast
Clean and consistent data through automated integration, resulting in less time spent on gathering and formatting forecast inputs
Increased forecast accuracy and shorter forecasting cycle
Improved knowledge base and platform for ongoing enhancement of forecasting and S&OP process – RTS&OP will be implemented in future project phase.