In the field of after-sales services in the furniture sector, it is aimed to increase customer satisfaction by responding to customers' calls for spare parts (repair-maintenance process using spare parts) in a shorter time, that is, by supplying spare parts in a shorter time and sending them to the relevant region, by performing repair-maintenance operations on their products in a shorter time. After all spare parts under the same call number reach the area, the customer's problematic product can only be repaired. The determination of the items that were taken together as an order under the same call number was made with the help of the Weka package program, with the help of data mining association analysis application. In order to increase customer satisfaction in the after-sales services sector, which is gaining importance day by day and is now accepted by everyone as being as important as production, the practice of keeping spare parts stock by making association analysis is the first application in this field. The association analysis study also has quite different application and usage areas. At the end of this study, an improvement of 19.3% was achieved in the spare part collection time from the warehouse.