1. A system, comprising: one or more devices to: receive an identifier for a new model product; identify a parts list for the new model product associated with the identifier for the new model product; determine a first code for a part included on the parts list for the new model product; compare the first code for the part included on the parts list for the new model product with codes for parts included in old model products; determine that the part included on the parts list for the new model product is comparable to one of the parts included in the old model products when the first code for the part included on the parts list for the new model product matches a second code, of the codes, for the one of the parts included in the old model products; determine a failure rate for the one of the parts included in the old model products based on a total quantity of the one of the parts, included in the old model products, that have been produced during a particular time period, and based on a quantity of the one of the parts, included in the old model products, that failed during the particular time period; determine a forecasted failure rate for the part included on the parts list for the new model product based on adjusting the failure rate, the failure rate being adjusted based on: failure data associated with the part included on the parts list for the new model product, and information identifying an improvement of the part, included on the parts list for the new model product, over the one of the parts included in the old model products; generate a new spare parts forecast for a type and a quantity of new spare parts associated with the part included on the parts list for the new model product based on the forecasted failure rate; automatically populate, based on generating the new spare parts forecast, a purchase screen on a user device to enable the quantity of new spare parts to be purchased; and cause the quantity of the new spare parts to be automatically purchased.