One variation of a method for automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.

A suite of fluidless predictive machine learning models includes a fluidless mortality module, smoking propensity model, and prescription fills model. The fluidless machine learning models are trained against a corpus of historical underwriting applications of a sponsoring enterprise, including clinical data of historical applicants. Fluidless models are trained by application of a random forest ensemble including survival, regression, and classification models. The trained models produce high-resolution, individual mortality scores. A fluidless underwriting protocol runs these predictive models to assess mortality risk and other risk attributes of a fluidless application that excludes clinical data to determine whether to present an accelerated underwriting offer. If any of the fluidless predictive models determines a high risk target, the applicant is required to submit clinical data, and an explanation model generates an explanation file for user interpretability of any high risk model prediction and the adverse underwriting decision.

Methods and devices for propagating transactions in a network of nodes, each node having one or more connections to other nodes. The method includes receiving a plurality of incoming transactions over a time period; combining the plurality of incoming transactions using network coding to generate a composite message; sending the composite message to one or more nodes in the network; and determining an adjusted time period based on an equilibrium constant parameter and a count of transactions in the plurality of incoming transactions received over the time period.

A system and method are presented for customer journey event representation learning and outcome prediction using neural sequence models. A plurality of events are input into a module where each event has a schema comprising characteristics of the events and their modalities (web clicks, calls, emails, chats, etc.). The events of different modalities can be captured using different schemas and therefore embodiments described herein are schema-agnostic. Each event is represented as a vector of some number of numbers by the module with a plurality of vectors being generated in total for each customer visit. The vectors are then used in sequence learning to predict real-time next best actions or outcome probabilities in a customer journey using machine learning algorithms such as recurrent neural networks.

An inspection system of a chip includes a reading device and a determining unit. The reading device is configured to count a number of chips stored in a storage case, the chips associated with a table game and including a chip having a radio tag, read the radio tag while the chips are stored in the storage case, and acquire chip information. The determining unit is configured to compare the chip information of the chips in the storage case with a physical number of the chips in the storage case, determine that there is an abnormal chips among the chips stored in the storage case based on a determination that the counted number of the chips does not match a physical number of the chips in the storage case, and output a result associated with an indication of the abnormal chip.

An inspection system of a chip includes a reading device and a determining unit. The reading device is configured to count a number of chips stored in a storage case, the chips associated with a table game and including a chip having a radio tag, read the radio tag while the chips are stored in the storage case, and acquire chip information. The determining unit is configured to compare the chip information of the chips in the storage case with a physical number of the chips in the storage case, determine that there is an abnormal chips among the chips stored in the storage case based on a determination that the counted number of the chips does not match a physical number of the chips in the storage case, and output a result associated with an indication of the abnormal chip.

A method for automatically re-processing a transaction in an electronic payment processing network independent of a merchant system or a user includes: receiving a first transaction message associated with a payment transaction; generating a first authorization request; communicating the first authorization request to an issuer system; in response to determining that the first authorization request failed, automatically determining a second payment device associated with the user based on profile data; automatically generating a second authorization request associated with the transaction; communicating the second authorization request to a second issuer system; and in response to determining that the second authorization request was approved by the second issuer, processing the transaction based on the transaction data and the second account data.

Disclosed herein are methods and systems to generate and communicate interactive digital receipts. In one implementation, the method may include receiving an indication of a payment transaction between a merchant and a user. Via a customer identification system, an employment profile of the user; may be determined. The employment profile of the user may be compared with one or more employment vacancies within an employment database, where the employment vacancies relate to employment at one of a location of the merchant and another merchant's location. A particular employment vacancy from among the employment vacancies may be selected. The payment processing system generates one or more interactive receipts including at least a transaction component configured to display details of the payment transaction and an employment application component configured to display the particular employment vacancy.

A method of operating a carwash includes driving a vehicle to a point of sale station of the carwash, purchasing a carwash transaction, and taking a first picture of a license plate number of the vehicle after the completion of the purchase of the carwash transaction at the point of sale station. The license plate number is associated with the carwash transaction as a carwash ticket. The vehicle is then sent to a carwash queue disposed downstream of the point of sale station. The carwash ticket information is sent to a carwash tunnel. A second picture of the license plate number of the vehicle is taken right as it approaches the carwash tunnel. The license plate number is associated with the carwash ticket and the vehicle is washed according to a wash dictated by the carwash ticket.

A transformation-as-a-service apparatus, system and method are described, where the transformation converts financial messages from one format to another (such as SWIFT format to ISO 20022 format, etc), storing the original and transformed messages for future access by a token. The transformation service also includes a permissions and access control mechanism for allowing access to the financial messages based on requestor permissions when requested via the token.