Abstract: A computer-implemented method for normalizing a RGB (red, green, blue) digital color space into a universal digital color standard. The RGB digital color space is mapped into a three-dimensional color cube. The sides of the three-dimensional color cube get progressively smaller until the sides converge in a center point of the three-dimensional color cube to form a three-dimensional color nesting cube. Duplicate colors in the RGB digital color space that are not distinguishable to a human eye are consolidated to obtain a normalized color space. The normalized color space is organized into swatch buckets to obtain a normalized three-dimensional color nesting cube. Each cube of the normalized three-dimensional color nesting cube represents a unique mapping code of the universal digital color standard.

Abstract: A client device and method to normalize a digital image into a universal digital color system includes a camera and a processor. The camera acquires a digital image of a color swatch and the processor converts the digital image into a RGB color image of the color swatch. The RGB color image is segmented into segments and each segment is analyzed to determine a dominant color for each segment. At least one dominant color for the color swatch is determined based on prevalence of at least one dominant color in each segment. A hexadecimal code of the universal color system is assigned to the color swatch that is closest to a digital hexadecimal value of the RGB image based on color component intensity values of the dominant color of the color swatch, thereby normalizing RGB colors of the color swatch.

Abstract: A client device and method to normalize a digital image into a universal digital color system includes a camera and a processor. The camera acquires a digital image of a color swatch and the processor converts the digital image into a RGB color image of the color swatch. The RGB color image is segmented into segments and each segment is analyzed to determine a dominant color for each segment. At least one dominant color for the color swatch is determined based on prevalence of at least one dominant color in each segment. A hexadecimal code of the universal color system is assigned to the color swatch that is closest to a digital hexadecimal value of the RGB image based on color component intensity values of the dominant color of the color swatch, thereby normalizing RGB colors of the color swatch.

Abstract: A client device and method to normalize a digital image into a universal digital color system includes a camera and a processor. The camera acquires a digital image of a color swatch and the processor converts the digital image into a RGB color image of the color swatch. The RGB color image is segmented into segments and each segment is analyzed to determine a dominant color for each segment. At least one dominant color for the color swatch is determined based on prevalence of at least one dominant color in each segment. A hexadecimal code of the universal color system is assigned to the color swatch that is closest to a digital hexadecimal value of the RGB image based on color component intensity values of the dominant color of the color swatch, thereby normalizing RGB colors of the color swatch.

Abstract: A client device and method to normalize a digital image into a universal digital color system includes a camera and a processor. The camera acquires a digital image of a color swatch and the processor converts the digital image into a RGB color image of the color swatch. The RGB color image is segmented into segments and each segment is analyzed to determine a dominant color for each segment. At least one dominant color for the color swatch is determined based on prevalence of at least one dominant color in each segment. A hexadecimal code of the universal color system is assigned to the color swatch that is closest to a digital hexadecimal value of the RGB image based on color component intensity values of the dominant color of the color swatch, thereby normalizing RGB colors of the color swatch.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color system. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value, and assigns a hexadecimal code of the universal color system to each product image that is closest to the digital value of each product image based on color component intensity values of at least one dominant product color in each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color system. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and assigns converts to a digital value, and assigns a hexadecimal code of the universal color system to each product image based on color component intensity values of at least one dominant product color in each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and method for searching and matching products based on color using a universal color system comprises a plurality of processor based client devices, each client device uniquely associated with a user, a database engine comprising a plurality of products reverse mapped and organized in accordance with the hexadecimal color codes of the universal color system, and a processor based server. The server receives a color-based search query comprising user's color selection from a client device associated with a user over a communications network. The user's color selection comprises at least one hexadecimal color code of the universal color system. A color engine of the server searches the database engine for products having the hexadecimal color codes with a predetermined range of the hexadecimal color code of the user's color selection, and transmits the search result to the client device associated with the user over the communications network.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A system for normalizing, codifying categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A system and method for searching and matching products based on color using a universal color system comprises a plurality of processor based client devices, each client device uniquely associated with a user, a database engine comprising a plurality of products reverse mapped and organized in accordance with the hexadecimal color codes of the universal color system, and a processor based server. The server receives a color-based search query comprising user's color selection from a client device associated with a user over a communications network. The user's color selection comprises at least one hexadecimal color code of the universal color system. A color engine of the server searches the database engine for products having the hexadecimal color codes with a predetermined range of the hexadecimal color code of the user's color selection, and transmits the search result to the client device associated with the user over the communications network.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: A marketing platform enhancement to generate and transmit formatted advertisements and digital catalogs by utilizing user demographics and preferences to generate targeted and micro-targeted marketing materials. The customized advertisements and digital catalogs that are created draw upon up-to-date information maintained by merchant supply chain management systems (SCM) and/or inventory management systems (IMS) to more effectively and more frequently advertise merchant products based on user preferences.