Determination of sales targets made by palm shell export companies is often not appropriate and effect the amount of inventory of palm shells sold based on weight which will be reduced if stored too long. Implementation of Least Square method for forecasting the sale of palm shells on web platforms aims to help the company to determine sales targets more accurately. By using this application, companies can forecast for the sale of palm shells for the next month in one year starting from one month after the actual sales period that has been entered. Data testing using Mean Absolute Error (MAPE) shows the error generated is 5.935%, Black Box testing results reach 100%, and User Acceptance Testing shows users agree the application in accordance with the requirements and forecasting results is clearly displayed.