Supply Chain

Forecasting / Demand Management

Historically, successful demand management has required a comprehensive and multi-faceted approach which is able to analyse and exploit every stage within the supply chain. Many organisations have created demand planning groups to enable forecast generation and optimise the use of their manufacturing and supply chain assets. 

In recent years, demand management and forecasting has become increasingly challenging given the multitude of channels that people can procure from. The fragmentation of sales channels has meant demand has become more difficult to consolidate or predict. Additionally, as larger organisations have split up their supply chains across the globe, a holistic view of demand has increasingly been difficult to ascertain. 

Successful organisations are able to deploy their forecasting models to use a range of both quantitative and qualitative techniques to predict both demand and asset usage. The ability to break down and understand forecast data is important as it allows companies and departments to both understand the components of demand, including trends and seasonality, as well as model a range of cyclical and random patterns.

Recent technology advances have allowed for these techniques to be pushed further. Integration of systems with suppliers has reduced the lag in sharing demand data, interpreting and reacting to demand data. What is more, complex algorithms have been established to take in a more data feeds than ever to help model demand patterns more predictably.  

At Baringa we bring a wide breath of expertise from across a range of industry sectors to assist our clients in understanding the importance of demand management. We are able to work alongside client organisations to identify opportunities to optimise existing demand management and forecasting processes, as well as to identify and deploy the latest systems to bring demand management into the 21st century. Some of our capabilities include:
  • Forecasting & replenishment
  • Demand management and demand sensing
  • Forecasting analytics
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