Abstract: The disclosed embodiments relate to system, method and apparatus for forming ML sessions so that an AI system can identify, track and diagnose a user through the user's bathroom sessions. As used herein, a session is a period of time during which a user is active in the toilet. The session may include certain inactivity if such inactivity lasts only for a predefined duration. In an exemplary embodiment, a system is configured to capture images of excreta and, using ML algorithms, classifies the toileting session using Digital Biomarkers (DBMs). The ability to create an excreta log to accurately deliver detailed information to doctors and healthcare providers can revolutionize healthcare by notifying when further urine or fecal screening is necessary. The disclosed embodiments of ML and image identification through AI requires no user behavior change and provides a link between medical records and specific excreta patterns.

Abstract: Provided are computer systems, methods, and non-transitory computer-readable medium configured for analyzing and using screenshots. The analysis and use can entail receiving a screenshot comprising identifying information of a merchandise, retrieving a candidate merchandise, offered for sale by a vendor, which candidate merchandise is a potential match to the merchandise according to the identifying information; and displaying the candidate merchandise.

Abstract: Provided are computer systems, methods, and non-transitory computer-readable medium configured for analyzing and using screenshots. The analysis and use can entail receiving a screenshot comprising identifying information of a merchandise, retrieving a candidate merchandise, offered for sale by a vendor, which candidate merchandise is a potential match to the merchandise according to the identifying information; and displaying the candidate merchandise.

Abstract: A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments are available for a highest potential for new card members.

Abstract: A method and system are used to optimize utilization of a transaction card by a card member. The system and method including generating a first data set based on data stored in a database representing industries of the card members. Generating a second data set representing an average amount charged to a transaction account by the card members in each respective one of the industries based on the first data set. Comparing the average amount charged from the first generating step to an actual amount charged by each individual one of the card members in a respective one of the industries. Communicating a result of the comparison to the card members. Receiving data from the card members based on their receiving of the comparison result. Storing the data in the database or a lead management device, such that the data is updated.

Abstract: A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments of the plurality of the industries are available for a highest potential for new card members or that are available for a greatest amount of incremental increased charging by the current card members.

Abstract: A method and system are used to optimize utilization of a transaction card by a card member. The system and method including generating a first data set based on data stored in a database representing industries of the card members. Generating a second data set representing an average amount charged to a transaction account by the card members in each respective one of the industries based on the first data set. Comparing the average amount charged from the first generating step to an actual amount charged by each individual one of the card members in a respective one of the industries. Communicating a result of the comparison to the card members. Receiving data from the card members based on their receiving of the comparison result. Storing the data in the database or a lead management device, such that the data is updated.

Abstract: A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments of the plurality of the industries are available for a highest potential for new card members or that are available for a greatest amount of incremental increased charging by the current card members.

Abstract: A method and system are used to optimize utilization of a transaction card by a card member. The system and method including generating a first data set based on data stored in a database representing industries of the card members. Generating a second data set representing an average amount charged to a transaction account by the card members in each respective one of the industries based on the first data set. Comparing the average amount charged from the first generating step to an actual amount charged by each individual one of the card members in a respective one of the industries. Communicating a result of the comparison to the card members. Receiving data from the card members based on their receiving of the comparison result. Storing the data in the database or a lead management device, such that the data is updated.

Abstract: A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments of the plurality of the industries are available for a highest potential for new card members or that are available for a greatest amount of incremental increased charging by the current card members.

Abstract: A method and system are used to optimize utilization of a transaction card by a card member. The system and method including generating a first data set based on data stored in a database representing industries of the card members. Generating a second data set representing an average amount charged to a transaction account by the card members in each respective one of the industries based on the first data set. Comparing the average amount charged from the first generating step to an actual amount charged by each individual one of the card members in a respective one of the industries. Communicating a result of the comparison to the card members. Receiving data from the card members based on their receiving of the comparison result. Storing the data in the database or a lead management device, such that the data is updated.

Abstract: A method and system are used to optimize utilization of a transaction card by a card member. The system and method including generating a first data set based on data stored in a database representing industries of the card members. Generating a second data set representing an average amount charged to a transaction account by the card members in each respective one of the industries based on the first data set. Comparing the average amount charged from the first generating step to an actual amount charged by each individual one of the card members in a respective one of the industries. Communicating a result of the comparison to the card members. Receiving data from the card members based on their receiving of the comparison result. Storing the data in the database or a lead management device, such that the data is updated.

Abstract: A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments of the plurality of the industries are available for a highest potential for new card members or that are available for a greatest amount of incremental increased charging by the current card members.