Building products sales forecasting at Schlegel
Article Abstract:
The Building Products Div of Schlegel Corp used to depend solely on its sales group to make sales forecasts. The sales group based its projections on purchases made by wholesalers and institutional buyers. Today, however, Schlegel's forecasting model has added data on housing starts and residential repairs as basis in making projections. Schegel forecasters obtain the data from the Dodge Residential Statistics and make estimates of usage of particular building products based on them. The use of the model revealed to Schlegel that it reaches only a tiny portion of its target markets.
Publication Name: Journal of Business Forecasting
Subject: Business, general
ISSN: 0278-6087
Year: 1991
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Improving the forecasting process at L'eggs Products
Article Abstract:
Sara Lee Corp's L'eggs Div takes sales forecasting seriously. L'eggs' forecasting department, marketing and sales groups and officers are all involved in making monthly sales projections for each of its 10 hosiery product lines. The firm starts the end of every monthly period with a meeting where the brand and sales groups and the forecasters discuss previous month's sales and the factors that may affect market performance of products for the coming month. Monthly sales forecasts are finalized only after rigorous consultation among officers and department heads of the company.
Publication Name: Journal of Business Forecasting
Subject: Business, general
ISSN: 0278-6087
Year: 1991
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What you need to know when building a sales forecasting system
Article Abstract:
Sales forecasting systems are necessary in providing efficient and accurate decision-support analysis for sales personnel. In developing these kinds of systems, the company must use the sales forecasting process as the basis for designing the system. A corporate data warehouse must also be built to aid analysts in examining volumes of data. The support of senior management in these undertakings is necessary.
Publication Name: Journal of Business Forecasting
Subject: Business, general
ISSN: 0278-6087
Year: 1996
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