An e-commerce based transaction system on a network connected via the Internet to multiple remote computers and mobile phones providing the distribution of hotel room lodging reservations or other lodging sites for location and date of specific events. A central database is hosted on a server and transmitted to individual remote servers or users that can have a respective database of listings from individual brokers oration or other system participants. In the alternative, the blockchain can be a mode of information dissemination. E-commerce transactions are conducted by the system, which performs a number of transaction-related functions, such as posting available hotel room reservations or lodging site reservations for sale, and purchasing spaces for use, resale, brokerage or pure speculation online. The system and methodology accommodate location-based events where hotel rooms are listed by brokers or hotel operators or owners and sold to individual system users and marketed reflective of and in advance of specific time and location sensitive events.

Methods, apparatus, systems, and computer program products are disclosed for utilizing specially configured machine learning models to generate incremental currency value(s) associated with one or more target merchant data objects. Some embodiments, based on one or more market record sets, identify an actual electronic currency value for a total merchant data object set, and include a counterfactual model configured to generate a counterfactual electronic currency value for use in determining a counterfactual incremental electronic currency impact, and in some embodiments for ranking other models. Embodiments, additionally or alternatively, include an incrementality-trained ensemble model for generating a predictive incremental electronic currency impact. The incrementality-trained ensemble model may be trained to predict based on the rankings of the outputs of the counterfactual model. Embodiments may further rank target merchant data objects and perform one or more additional actions, including assigning the target merchant data objects to sales account data structures for management.

A computer-implemented method for simulating a market index is provided. The method includes: receiving object data from a data source; receiving control data from an input operation applied to the analysis server; identifying one or more first values and one or more second values from the object data, and identifying a first parameter, a second parameter and a third parameter from the control data; inputting the first values, the second values, the first parameter, the second parameter and the third parameter into an executed analysis model; and obtaining an optimized weight vector corresponding to the component stocks from the analysis model, so as to simulate the market index by the weight vector and the prices of the component stocks, wherein the weight vector comprising weight percentages respectively corresponding to the component stocks, and the sum of the weight percentages is equal to one.

The invention relates to maturable non-fungible tokens and interoperable IP tokens transacted on an information, network, financing, commercialization and monetization platform that leverages the efficiency of artificial intelligence and decentralization to increase global innovation by individual, small and medium sized innovators and encourages global adoption by providing access to information, analytics, capital, resources, a trusted network and global partners. The invention relates to a method to establish a maturable non-fungible token recorded on a blockchain and referencing an extendable chain of custody, and to allocate intellectual property (“IP”) rights reliably, clearly, and in an interoperable manner to any non-fungible token recorded on a blockchain, independent of its origin of creation. Currently available NFTs are facing a range of technical and environmental challenges that need to be resolved in order to increase their tradability, enterprise adoption, future-proofness, and the legal certainty for parties transacting (with) NFTs.

A method includes defining a first specification for a first network slice, determining a first equilibrium value for a first time period for the first network slice offering, receiving a first bid price for the first network slice for the first time period from a first customer, comparing the first equilibrium value to the first bid price; and providing services using the network slice to the customer during the time period in accordance with the first specification and the bid price if the bid price meets or exceeds the equilibrium value.

A method including receiving, at a data distribution platform, a selection of a data package comprising a high fidelity ata package. The method also includes filtering, automatically by a filtering application of the data distribution platform, the high fidelity data package to form a marketing data package. Filtering includes removing sufficient data from the high fidelity data package such that the marketing data package is a marketing data package. The method also includes publishing the marketing data package within the data distribution platform.

The disclosed technology improves the process of generating recommended prices for retail products. First, the present technology makes it possible to model shopper demand when sales data includes time periods with zero unit sales without hypothesizing whether the time periods are out-of-stock events or zero sales. This can be accomplished by applying a truncated Poisson distribution and the Newton-Raphson method to the non-zero unit sales to generate a coefficient vector that maximizes the likelihood of the observations in the sales data. Second, the present technology can be used to generate recommended prices for a group of products that optimize revenue and profit while limiting the number of products that require price changes to a predefined threshold value. This can be accomplished by iteratively replacing a current best value solution with a next best value solution across a collection of product networks until an acceptable number of unchanged prices is achieved.

A method for controlling an electrical installation at least one of an electrical energy source or an energy sink. The electrical installation is coupled to a power grid. The method includes a period of time having a start time and a duration being specified, an upward flexibility Fo, which includes a forecast maximum feed-in power increase or feed-out power decrease, and a downward flexibility Fu, which includes a forecast maximum feed-out power increase or feed-in power decrease, being set for the period of time, a selling threshold price Pv and a purchasing threshold price Pe being set for the period of time, and an electricity trading transaction being concluded for the period of time. The electricity trading transaction includes a base value, a base quantity, a base price, a date on which the electricity trading transaction is to be carried out.

The supply chain management apparatus includes: an input unit that receives input information indicating a change in market conditions; a storage unit that stores supply chain information in which constituent companies of a supply chain, T&Cs information in which T&Cs of each of the constituent companies of the supply chain is registered, and a condition for a key performance indicator which should be satisfied, the condition for a key performance indicator being set for each of the constituent companies; a T&Cs calculation unit that, when the input information is received, calculates a supply chain plan corresponding to the change in the market conditions indicated by the input information based on a predetermined calculation method, and when a key performance indicator calculated based on the supply chain plan does not meet the condition for the key performance indicator, changes the T&Cs so that the key performance indicator is optimal.

Embodiments optimize inventory allocation of a retail item, where the retail item is allocated from a plurality of different fulfillment centers to a plurality of different customer groups. Embodiments receive historical sales data for the retail item and estimate demand model parameters. Embodiments generate a network including first nodes corresponding to the fulfillment centers, second nodes corresponding to the customer groups, and third nodes between the first nodes and the second nodes, each of the third nodes corresponding to one of the second nodes. Embodiments generate an initial feasible inventory allocation from the first nodes to the second nodes and solves a minimum cost flow problem for the network to generate an optimal inventory allocation.