Abstract: An auto-replenishment platform may receive retailer, manufacturer, and 3rd party consumer data on a regular time interval, via their e-commerce platforms. The auto-replenishment platform, via a harmonization engine, may aggregate all data sets, mine the aggregated data, and then cluster the data. Subsequently, the auto-replenishment platform may generate a consumer model for predicting the consumer demand for a product, factors that influence a consumer's perception of convenience or ease in purchasing that product, and for aggregating a consumer's purchased products for shipment or pickup. The auto-replenishment platform may send the consumer model to the retailer, manufacturer, and 3rd party e-commerce platforms to integrate the auto-replenishment platform into those platforms.

Abstract: An auto-replenishment platform may receive consumer data, retailer data and product data for a set time period, via an e-commerce platform of a retailer or manufacturer that sells products and services directly to the public. Using the consumer data, the auto-replenishment platform may determine the auto-replenishment product basket for the consumer. Subsequently, the auto-replenishment platform may generate a consumer model for the consumer, based at least on the consumer data, the retailer data, and the manufacturer data, for predicting the consumer auto-replenishment shopping cart, consumer behavior, and determining alternate auto-replenishment products and discounts for the consumer. The auto-replenishment platform may send the consumer model to the e-commerce retailer and suggest auto-replenishment products and discounts to the consumer.

Abstract: An auto-replenishment platform may receive retailer, manufacturer, and 3rd party consumer data on a regular time interval, via their e-commerce platforms. The auto-replenishment platform, via a harmonization engine, may aggregate all data sets, mine the aggregated data, and then cluster the data. Subsequently, the auto-replenishment platform may generate a consumer model for predicting the consumer demand for a product, factors that influence a consumer's perception of convenience or ease in purchasing that product, and for aggregating a consumer's purchased products for shipment or pickup. The auto-replenishment platform may send the consumer model to the retailer, manufacturer, and 3rd party e-commerce platforms to integrate the auto-replenishment platform into those platforms.

Abstract: Disclosed here is a technology for providing active guided assistance in culinary execution to consumers in real-time. The guided assistance can take the form of a platform system implemented on an electronic device that provides recipes, recipe details (e.g., timing, techniques, cooking tools, ingredients, steps), and one or more guidance tools including any one of a meal plan, a shopping list, a nutrition tracker (or “health tracker”), a taste profile, or an allergen/medical filter. The guided assistance dynamically adapts its content in response to a user's understanding and progress with respect to each step in executing a recipe. The content includes integrated culinary information collected from various sources of information, including a system-generated database or third-party systems.

Abstract: The present invention discloses a system and method for processing business transactions between trading partners using a central interactive platform. The processing may include comparing purchase order data and invoice data to identify matching information and non-matching information. If the information matches, the invoices are processed for payment. If the information does not match, the discrepancies are identified to the buying company or the selling company for resolution.

Abstract: The present invention discloses a system and method for processing business transactions between trading partners using a central interactive platform. The processing may include comparing purchase order data and invoice data to identify matching information and non-matching information. If the information matches, the invoices are processed for payment. If the information does not match, the discrepancies are identified to the buying company or the selling company for resolution.

Abstract: The present invention discloses a system and method for processing business transactions between trading partners using a central interactive platform. The processing may include comparing purchase order data and invoice data to identify matching information and non-matching information. If the information matches, the invoices are processed for payment. If the information does not match, the discrepancies are identified to the buying company or the selling company for resolution.