Dynamic adjustment of recommendations using a conversation assistant

Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A first service or a first product is identified by the remote learning engine based on the accessed usage data. A first recommended voice bundle application is determined by the remote learning engine. A recommendation associated with the first recommended voice bundle application is transmitted to the telephonic device. The recommendation is presented by the telephonic device to the user through voice communications. A response from the user associated with the recommendation is received. In response to determining that the user has not accepted the recommendation, a second service or a second product is determined based on the received response. A second recommended voice bundle application is determined based on the second service. The second recommended voice bundle application is executed by the telephonic device.