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Garment e-commerce sales forecast is important for the e-business development strategy planning and the integration of garment supply chain upstream and downstream enterprises. GDP, per capita consumption expenditure of urban residents, the total retail sales of consumer goods, the number of internet users are selected as economic forecast indexes. On the basis of grey incidence degree, close correlation indexes are chosen to establish multi-variable grey model to forecast. In consideration of the historical data of garment e-commerce not being obtained, experts' estimation is cooperated. By many iterative fitting on grey model, the credible garment e-commerce forecast amount is calculated. A case analysis of Hebei Garment e-commerce is provided for illustrative purposes.