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Modernizing retail demand planning with SAS Intelligent Planning on AWS
About 100 years ago, a retailer with over 10,000 locations across the United States had a problem. How could they balance the need for goods with available stock for each store in their chain, forecast the need for replenishment, and coordinate logistics to ensure each location received the stock they needed for the customers they served? They used two things: data and gut feel.