A system and method utilizing a mass user gaze fixation behavior with respect to products and product racks (using a camera-based inputs and gaze-tracking algorithms) and a financial profitability of each product/product type; generates gaze-based heat maps for indicating blind spots and eye gaze points at different positions of the racks/shelves and indicating product placement positions on the heat map; and advises product placement in the retail store for optimizing financial profitability by performing an iterative refinement of product placements over a period for the product/similar products. The system translates mass eye gaze of retail store customers into financial profitability via product placement optimization, and iteratively runs a method to optimize product placements, and generate gaze-based heat maps and perform blind spot analysis for avoiding product placements at certain locations and placing products at other locations, e.g., by running a decision module on consumer gaze pattern data.

A business monitoring system is described herein that brings together the previously separate worlds of social media and offline secret shopper and similar programs. With the business monitoring system, owners of brands are able to monitor the local voice of the customer to detect local and regional trends in sentiment and activity, build benchmarks and goals for local storefronts, evaluate in-store operations and customer service trends, and measure the local impact of marketing and advertising initiatives. The system collects and analyzes signals from online sources, producing reports, analytics, benchmarks, and alerts regarding offline activity at the local/store-front level. The system normalizes the signals from various sources, analyzes the signals at the individual location level, aggregates the data across various dimensions, builds benchmarks for comparison, and fires triggers notifying appropriate people upon detecting a meaningful variance. Thus, the system provides a rich and timely set of information to business decision makers.

A transaction-enabling system is provided. The system includes a controller configured to access a distributed ledger comprising a firmware data value and tokenize the firmware data value. The controller is further configured to interpret an access request for the firmware data value and, in response to the access request, provide a provable access to a firmware corresponding to the firmware data value. The controller is further configured to interpret one of a download operation or an install operation of a firmware asset corresponding to the firmware data value, and record a transaction on the distributed ledger in response to the one of the download operation or the install operation.

Systems and methods for adjusting a facility configuration based on detected conditions are disclosed. An example system may include an energy and compute facility having a compute resource, and an energy source or an energy utilization requirement. The system may also include a controller having a facility description circuit to interpret detected conditions, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the detected conditions, wherein adjusting the facility configuration includes adjusting a utilization of the compute resource and at least one additional facility resource.

Systems and methods for adjusting a facility configuration based on a set of parameters from a digital twin are disclosed. An example system may include an energy and compute facility having a compute task or resource, and an energy source utilization requirement. The system may include a controller having a facility model circuit to operate a digital twin for the facility, a facility description circuit to interpret a set of parameters from the digital twin, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the set of parameters from the digital twin and perform a purchase or sale transaction on an energy credit spot market or an energy credit forward market.

Systems and methods for adaptively improving an energy delivery are disclosed. An example system includes a machine having an associated regenerative energy facility, the machine having a requirement for a compute, networking, or energy consumption task. The example system includes a controller having an energy requirement circuit to determine an amount of energy for the machine to service the task in response to the requirement for the task. The controller also includes an energy distribution circuit to adaptively improve an energy delivery, of energy produced by the associated regenerative energy facility, between the tasks.

RoboNegotiator (RN) describes an unbiased match engine which preserves the identity of all the parties involved until an anonymity match, mutual interests or deal terms match their individual needs. RN automatically negotiates sellers offers against buyer's offers for a live match within an overlap of the seller's spread and the buyer's spread subject to predetermined seller's parameters and an ability of the buyer to initiate a negotiation against a forecast. Negotiations are forecast an n number of times via a machine learning of a prior deal history behavior of the seller and the buyer within the system for commerce and a crawled/scrapped market data in a geographical proximity. There is no risk of identity exposure if there is no mutual interest or deal and hence the disclosed RN will also preserve confidentiality of interest, deal terms and dreams.

A transaction-enabling system including a controller is provided. The controller is configured to: access a distributed ledger comprising an aggregated data set; interpret an access request for the aggregated data set; and in response to the access request, provide a provable access to the aggregated data set. The provable access includes at least one of which parties have accessed the aggregated data set and how many parties have accessed the aggregated data set, the distributed ledger includes a block chain, and the aggregated data set includes one of a trade secret and proprietary information.

In accordance with one or more aspects of selecting between client-side and server-side market detection, a determination is made at a device as to which of a client-side detected market and a server-side detected market is to have priority for a service. An application of the device is configured in accordance with a client-side market configuration setting if the client-side detected market has priority, and is configured in accordance with a server-side market configuration setting if the server-side detected market has priority.

Systems as described herein may include predicting item level data based on merchant advertisement information. A transaction pattern may be detected. The merchant advertisement information may be retrieved and parsed to generate a price list. A number of transactions that each shares a common payment amount may be determined and the number may reach a threshold value. Items from the price list may be matched with the common payment amount. The transaction records may be updated to indicate likely item level transaction information. In a variety of embodiments, the likely transaction information may be presented to a user.