Plan Your Supply Chain Better with Accurate Forecasting
Demand forecasting is one of the top priorities involving supply chain management. Accurate forecasting reinvigorates demand and supply chain planning. Companies must adopt a holistic forecasting system that provides statistical rigor and simulation capabilities, and regulates its models to suit changing business requirements. Infosys' experts blog on a forecasting system and discuss implementation challenges. Be part of the discussion and let us know what you think.
Criteria in choosing a holistic Forecasting System
How can you choose a rigorous and holistic forecasting system? This blog explores factors like the ability to model demand, statistical rigor, accuracy, forecast generation time and interpretability among others towards achieving this end.
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Caveats in a Forecasting System implementation project
A forecast is not merely a collation of numbers - the people and business process workflow are factors that make all the difference. The clarity of information available while generating a forecast governs its accuracy. This blog discusses how the right data can be captured and used to implement an accurate and reliable forecasting implementation.
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Effectiveness of Planning
Supply and demand planning forecasts play an important role in optimizing downstream activities. Our blogger proposes that the analysis of historical data is the most reliable route to adopt while planning a forecast. This could result in modifications and a possible redefinition of how forecasting is approached.
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The Right Level for measuring the Right Forecast Errors
This blog examines how forecasting is carried out across organizations, and how different levels of forecasting contribute to generating the right volume and mix. Capturing and measuring errors, creating simple techniques and pre-defining levels are some of the issues that need to be addressed to optimize the process of forecasting.
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