Voice-based menu personalization
A natural-language voice chatbot engages a consumer in a voice dialogue. The chatbot is customized for engaging the specific consumer based on features and characteristics of that specific consumer's speech and a lexicon associated with terms, words, and commands for item ordering. The consumer can perform voice queries for specific items and/or specific establishments for placing a pre-staged order with the chatbot. Once the consumer selects options with a specific establishment, a pre-staged order is provided to the corresponding establishment on behalf of the user. Location data for a consumer-operated device is monitored and when it is determined that the consumer will arrive at the establishment within a time period required by the establishment to prepare the pre-staged order, a message is sent to the establishment to begin preparing the pre-staged order.
1. A method, comprising:
engaging a consumer in a natural-language voice dialogue for placing a pre-staged order with a restaurant while the consumer is driving within a vehicle with a consumer device;
obtaining menu options from the consumer during the natural-language voice dialogue;
translating speech of the consumer during the natural-language voice dialogue using voice characteristics that are specific to the consumer and that are specific to a lexicon associated with ordering and the restaurant;
processing an Application Programming Interface (API) and placing the pre-staged order with an order system associated with the restaurant using the menu options;
determining that the consumer device will arrive at the restaurant within a period of time that is equal to an order preparation time for preparing the pre-staged order based on location data associated with the consumer device; and
sending a message to a fulfillment terminal of the restaurant to begin preparing the pre-staged order to time arrival of the consumer at the restaurant to substantially coincide with completion of the pre-staged order.
2. The method of claim 1 further comprising, sending a second message to the fulfillment terminal indicating that the consumer has arrived at the restaurant based on the location data.
3. The method of claim 1 , wherein translating further includes obtaining a voice profile that comprises the voice characteristics from a profile associated with the consumer.
4. The method of claim 3 , wherein obtaining the voice profile further includes:
providing the voice profile, an audio snippet for the speech, and the lexicon to a trained machine-learning algorithm as input; and
receiving as output from the trained machine-learning algorithm the text corresponding to the speech.
5. The method of claim 1 , wherein translating further includes:
providing an audio snippet of the speech to a trained machine-learning algorithm that is specifically trained on the voice characteristics of the consumer and the lexicon as input to the trained machine-learning algorithm; and
receiving as output from the trained machine-learning algorithm the text corresponding to the speech.