Demand Planning and Demand Planning in Season
This tool, integrated in the I-RAMS platform, is specifically developed for managing the demand in an industrial environment. Its target is to share the demand forecasting amongst all the industrial key members, so that the activities can be planned according to the demand dynamics. The sales history is the core data to manage the demand planning. The statistical analysis and the forecasting calculus in sales is processed not only on aggregate level (channel, macro SKU, market, etc.) but also on a lower level, by maintaining congruous quantities forecast. The most advanced forecasting techniques can be used in an easy and intuitive way with keeping technical and numerical rigorous.
The problems, like seasonality, unexpected events, commercial campaigns, and life cycle, are always calculated to give the most accurate forecast that permits an accurate budgeting inside the logistic and the production structure.
Powerful clustering and picking tools allow to identify special clients, and give them special treatments due to campaign/seasonality requirements (for example fashion and apparel businesses). Obviously the results of a sales plan can be used as an input to build a production plan.
More attention has been given to Planning in Season issues, in fact people that work in fashion environment (wear, shoes accessories, ect) have to face the problem to perform demand forecast and production schedule using poor or missing historical data and consequently take a big risk to do big estimation mistakes, especially when they focus on SKU. I-RAMS platform offers a specific methodology in order to manage theese situation giving a sturdy statistical results confidence during first season weeks and so drive and correct production schedule due to market variability.