Abstract: Restricting a Feature Set Using Historical Analysis of Network Quality enables a point-of-sale application (POS) to automatically determine the optimal mode of operation for its feature set based on an analysis of network traffic between the device acting as the POS and the servers hosting the services required for the features' online operations. Because certain operations require real-time interaction with services provided via the Internet (e.g. debit card payments/returns, gift card redemption/issuance, etc.), the POS does not allow the full breadth of capabilities when network connectivity quality degrades below a certain level. Instead, the POS will automatically take one of the following steps: 1. Enable the feature to use local data to accomplish its objective; 2. Disable the feature entirely. Once the network connectivity quality reaches an acceptable level for an acceptable period of time, the POS should automatically restore the full breadth of capabilities.

Abstract: New technologies for real-time processing and managing product orders are described. The technologies utilize mobile communication and intelligent analysis to reduce waiting time, keep product fresh, and guarantee product delivery. Specific examples are given in the context of meal orders.

Abstract: An instant thickening dry food composition. The instant thickening dry food composition includes soy protein and a mineral. The soy protein is present in an amount ranging from 3% to 99% by weight of the instant thickening dry food composition. The instant thickening dry food composition has a total hydrocolloid content of not more than 1% by weight of the instant thickening dry food composition. The instant thickening dry food composition forms an instant thickened food product when added to a liquid.

Abstract: New technologies for real-time processing and managing product orders are described. The technologies utilize mobile communication and intelligent analysis to reduce waiting time, keep product fresh, and guarantee product delivery. Specific examples are given in the context of meal orders.

Abstract: New technologies for real-time processing and managing product orders are described. The technologies utilize mobile communication and intelligent analysis to reduce waiting time, keep product fresh, and guarantee product delivery. Specific examples are given in the context of meal orders.

Abstract: An instant thickening dry food composition. The instant thickening dry food composition includes soy protein and a mineral. The soy protein is present in an amount ranging from 3% to 99% by weight of the instant thickening dry food composition. The instant thickening dry food composition has a total hydrocolloid content of not more than 1% by weight of the instant thickening dry food composition. The instant thickening dry food composition forms an instant thickened food product when added to a liquid.

Abstract: New technologies for real-time processing and managing product orders are described. The technologies utilize mobile communication and intelligent analysis to reduce waiting time, keep product fresh, and guarantee product delivery. Specific examples are given in the context of meal orders.

Abstract: A framework is described for providing a service to a customer via a Interactive Voice Recognition system (IVR) using natural language expressions. The expressions are evaluated using rules-based programming rules. Evaluated expressions determine an eligibility of a business service to be offered to a customer. Interaction with the customer comprises selecting a semantically correct natural language expression from an appropriate vocabulary database.