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813 results about "Demand forecasting" patented technology
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Demand forecasting is a field of predictive analytics which tries to understand and predict customer demand to optimize supply decisions by corporate supply chain and business management. Demand forecasting involves quantitative methods such as the use of data, and especially historical sales data, as well as statistical techniques from test markets. Demand forecasting may be used in production planning, inventory management, and at times in assessing future capacity requirements, or in making decisions on whether to enter a new market.
System and method for profit maximization in retail industry
A computer-based method and system accomplish automatic optimization of a preferred merchandising figure of merit like revenue, profit, etc. by concurrent optimization of prices and in-store promotion schedules for groups of interrelated products in a supermarket or in a chain of supermarkets. The basis of the system is a statistical model that combines effects of prices, promotion schedules and other factors that could influence demands, and produces a flexible nonparametric predictive demand function that can be optimized simultaneously in prices and promotion schedules. The system generates demand predictions for groups of interrelated products by applying data mining procedures to historical database that contains sales data along with various sales conditions, adjusting statistical predictive demand models, and then optimizing them in prices and promotion schedules. The user can interact with the system by selecting and customizing optimization and prediction scenarios provided by the system, and by requesting customized reports with results of particular optimization and prediction schemes.
Owner:NIKON CORP +1
Supply chain demand forecasting and planning
InactiveUS7080026B2Accurate predictionImprove abilitiesResourcesCommerceAlgorithm theoryPrediction algorithms
Disclosed herein are systems and methods for demand forecasting that enable multiple-scenario comparisons and analyses by letting users create forecasts from multiple history streams (for example, shipments data, point-of-sale data, customer order data, return data, etc.) with various alternative forecast algorithm theories. The multiple model framework of the present invention enables users to compare statistical algorithms paired with various history streams (collectively referred to as “models”) so as to run various simulations and evaluate which model will provide the best forecast for a particular product in a given market. Once the user has decided upon which model it will use, it can publish forecast information provided by that model for use by its organization (such as by a downstream supply planning program). Embodiments of the present invention provide a system and method whereby appropriate demand responses can be dynamically forecasted whenever given events occur, such as when a competitor lowers the price on a particular product (such as for a promotion), or when the user's company is launching new sales and marketing campaigns. Preferred embodiments of the present invention use an automatic tuning feature to assist users in determining optimal parameter settings for a given forecasting algorithm to produce the best possible forecasting model.
Owner:JDA SOFTWARE GROUP
System and method for profit maximization in retail industry
Owner:NIKON CORP +1
Virtual machine utility computing method and system
ActiveUS20100199285A1Realize automatic adjustmentComplete banking machinesResource allocationUtility computingResource utilization
An analytics engine receives real-time statistics from a set of virtual machines supporting a line of business (LOB) application. The statistics relate to computing resource utilization and are used by the analytics engine to generate a prediction of demand for the LOB application in order to dynamically control the provisioning of virtual machines to support the LOB application.
Owner:VMWARE INC
Electric-power-generating-facility operation management support system, electric-power-generating-facility operation management support method, and program for executing support method, and program for executing operation management support method on computer
InactiveUS20050015283A1Improve operating conditionsGuaranteed uptimeGeneration forecast in ac networkMarket predictionsManagement support systemsManagement support
An electric-power-generating-facility operation management support system includes a condition-input unit inputting costs of electric power generation in electric power generating facilities, probability distribution of predicted values of the demand for electric power, and probability distribution of predicted values of the transaction price of power on the market. An optimal-operational-condition calculating unit calculates the performance of power generation of the power generating facilities based upon the costs of power generation, the probability distribution of predicted values of the demand for power and the probability distribution of predicted values of the transaction price of power on the market, input from the condition-input unit so as to obtain the optimal operational conditions which exhibit the maximum performance of power generation A risk estimating unit calculates and estimates a risk value of damage of the optimal operation under the optimal operational conditions. A calculation-result display unit displays the optimal operational conditions and the risk-estimation results.
Owner:KK TOSHIBA
Multipurpose presentation demand calendar for integrated management decision support
Aspects of the present invention include improvements to a management decision support system. Before improvement, the system includes a computer system having memory and resources, a retail demand forecasting program applying one or more forecasting approaches, running on the computer system and utilizing the output, said analysis programs generating at least one of (a) order of goods from a supplier-related data, (b) allocation of the goods to be shipped by the supplier-related data, or (c) distribution of goods to selling locations-related data. The improvements, according to one aspect of the invention, include a causal calendar utilized by the forecasting program to generate the output, the calendar including certain attributes for a plurality of events, and an analysis program to generate open to buy reports. Other aspects of the present invention are described in the specification, drawing and claims.
Owner:BLUEFIRE SYST
Method of creating production plan of demand variation input type and method of creating production plan minimizing risk of demand variations
InactiveUS20050222888A1Avoid adjustmentMaximizes achievement ratioCommerceSpecial data processing applicationsStockoutRate ratio
A production plan is created so as to minimize risk of demand variations. Forecasted values of amounts of requests are entered for each different item of products, markets, dates, past accuracy of demand forecasts, and order achievements at the time when the plan is created. Scenario information is created in which assumable amounts of request for each different item of the products, markets, and dates and probabilities at which the amounts of requests agree with actual amounts of requests are defined. Management indexes are found from the amount of stockout and amount of stock calculated in each different scenario, based on the scenario information, target values of the management indexes, and information on strongpoints. An amount of production that maximizes the achievement ratios of the management ratios to their targets within the ranges of supplied materials and within the range of the production capacity is calculated by an optimization algorithm.
Owner:HITACHI LTD
Traveler home-work location identification and trip chain depicting method based on mobile phone signaling data
InactiveCN105142106AAdd dimensionReduce travel survey costsLocation information based serviceSpecial data processing applicationsTransit networkData set
The invention discloses a traveler home-work location identification and trip chain depicting method based on mobile phone signaling data, and belongs to the field of analysis of transportation planning data. The method comprises the steps of: triggering an information database by communication network records provided by a mobile network operator; after cleaning, integrating and calculating by using a position conversion algorithm, converting the data of the operator into a reference dataset; aiming at each user, converting the dataset into a mobile time-space trajectory, identifying stopover points, high frequency points and long time points in the mobile time-space trajectory, and on the basis, identifying home-work locations, activity target locations and insignificant stopover points; and finally depicting a closed trip chain of the user by being combined with the mobile time-space trajectory. The traveler home-work location identification and trip chain depicting method based on mobile phone signaling data has the advantages of being conductive to reducing trip survey costs of residents, obtaining more precision trip characteristics of crowds with different identities, and thereby allowing the traffic demand forecasting to be more accurate; and 2, being conductive to improving scientificity of planning layout construction, such as transport corridors, public transit networks and traffic facilities, in urban traffic planning.
Owner:SOUTHWEST JIAOTONG UNIV
Method for managing inventory within an integrated supply chain
ActiveUS20100205044A1Maximize efficiencyMaximize profitabilityPayment architectureLogisticsOrder formInventory level
A method for managing inventory within a supply chain. The method is performed by providing forecasts of demand for items distributed within the supply chain, using the forecasts to establish base stocking levels and reorder points within the supply chain, and using the established base stocking levels and reorder points to position items within the supply chain so as to maximize efficiency and profitability when responding to an order for an item.
Owner:W W GRAINGER
Virtual machine utility computing method and system
ActiveUS8336049B2Realize automatic adjustmentComplete banking machinesDigital computer detailsUtility computingResource utilization
An analytics engine receives real-time statistics from a set of virtual machines supporting a line of business (LOB) application. The statistics relate to computing resource utilization and are used by the analytics engine to generate a prediction of demand for the LOB application in order to dynamically control the provisioning of virtual machines to support the LOB application.
Owner:VMWARE INC
Generating an optimized price schedule for a product
InactiveUS20060161504A1Disadvantages and reduced eliminatedPrice reduced eliminatedMarket predictionsResourcesRequirements modelAlgorithm
Generating a price schedule involves generating a graph (50) having paths that include states (52) with values (54, 56, 58). The graph (50) is generated by determining the values (56, 58) of a successor state (52) from the values (56, 58) of a predecessor state (52). An optimal path is selected, and a price schedule is determined from the optimal path. Computing an elasticity curve involves having a demand model, values for demand model, and filter sets that restrict the values. Elasticity curves are determined by filtering the values using filter sets, and calculating the elasticity curve using the demand model. An best-fitting elasticity curve is selected. Adjusting a demand forecast value (56) includes estimating an inventory and a demand at a number of locations (24). An expected number of unrealized sales at each location (24) is calculated. An sales forecast value (56) is determined according to the expected number.
Owner:JDA SOFTWARE GROUP
Demand planning with event-based forecasting
InactiveUS20050288993A1More accurate demand forecastsResourcesCommerceEvent dataBusiness forecasting
Methods and apparatus, including computer program products, are provided that include techniques for forecasting demand. One method includes identifying event data associated with a demand forecast. The method further includes determining a first portion of a demand forecast using the event data. The method further includes determining a second portion of the demand forecast using at least order history data. The method further includes identifying weights to be applied to the first and second portions. The method further includes determining an aggregate demand forecast including applying respective identified weights to and combining the first and second portions of the demand forecast.
Owner:TRUE DEMAND SOFTWARE
Logistic warehousing and storaging decision supporting system
InactiveCN1741053AMeet application needsSolving the problem of warehousing decisionsResourcesInformatics engineeringSupporting system
The present invention relates to a logistical warehousing and storage activities decision supporting system includes the following modules: order and stock information log-in module, demand fore casting module, stock improving module, safety stock analysis module, commodity turnover rate analysis module and comprehensive purchase report module. Said invention also provides the concrete function of every module and the working principle of said system.
Owner:SHANGHAI JIAO TONG UNIV
Demand forecast device, method, and program product
Conventionally, for a product accompanied by supplies such as a copy machine or a printer, the demand figures relating to the supply which such a main machine consumes have been determined empirically from the transition of the past sales records of the supply, the trends of the market, and a sales scheduled figures of the main machine. Therefore, the forecasted values of the demand figures differ in accordance with the skills or experiences of individuals carrying out the forecasting, and necessarily, the accuracy of the forecasted values deteriorates. Further, a demand forecast method relating to the supplies of a product has not been realized due to the large number of parameters, the complexity of calculation, and the difficulty of a systematic approach for solving problems.In order to overcome the above-described problems, the invention of the present application forecasts consumption figures of a supply for outputting an outputted matter in the future, on the basis of inputted output figures of an outputted matter outputted by a product and sales figures of the supply.
Owner:CANON KK
Process for forecasting product demand
InactiveUS20030212590A1LogisticsSpecial data processing applicationsGraphicsGraphical user interface
An improved process for forecasting product demand to be used within inventory management and / or production planning systems. This improved process overcomes the limitations of the prior art by providing an optimal combination of automated statistical data processing and human intelligence, in one interactive system. The new method provides an efficient means for an operator to incorporate much information, known to the operator, that would otherwise be missed by the systems of the prior art. It allows the operator to analyze information very quickly by viewing graphs drawn on a graphical user interface and to make changes very quickly using that same graphical user interface. The method relies on the use of edit markings / symbols drawn on the display portion of the graphical user interface. These edit markings / symbols are used to make changes to the parameters forming the basis for a product demand forecast. The markings / symbols are recognized by the forecast software algorithm and a new forecast is generated based on the revised parameters.
Owner:KLINGLER GREGORY L
Methods and systems for synchronizing distribution center and warehouse demand forecasts with retail store demand forecasts
A method and system for forecasting product order quantities required to meet future product demands for a retail distribution center or warehouse. The method includes the steps of determining for each one of a plurality of retail stores, a long range order forecast for a product sold by said retail store; accumulating said long range order forecasts for said plurality of retail stores to generate a distribution center demand forecast for said retail distribution center; comparing said distribution center demand forecast with current and projected future inventory levels at said distribution center of said product; and determining from distribution center demand forecast and said current and projected future inventory levels suggested order quantities necessary for maintaining a minimum inventory level sufficient to meet said distribution center demand forecast for said product.
Owner:TERADATA US
Method of judging mode of transportation of train chain based on GPS (Global Positioning System) positioning and fuzzy theory
InactiveCN104751631AConvenient and comprehensive accessValid Data ReferenceDetection of traffic movementTransportation planningGps positioning
The invention provides a method of judging a mode of transportation of a train chain based on a GPS (Global Positioning System) positioning and fuzzy theory. The method comprises the steps of carrying out GPS positioning to a traveler, and collecting personal attribute data; preprocessing the collected GPS data, and dividing a travelling section to a behavior of the traveler; carrying out fuzzy identification on the travelling section, and judging the travelling way of the traveling section; and finally, judging a travelling way which is judged to the travelling of a motor vehicle again, and judging whether the travelling way is either a car travelling way or a bus travelling way. According to the method provided by the invention, a smart mobile phone, a GPS positioning technology and other technologies can be combined to be convenient and comprehensive to obtain the travelling data of the traveler and the personal attribute data, dividing the travelling of the traveler practically, and analyzing and processing the aforesaid information based on the fuzzy theory, the personal attribute data of the traveler and the like; furthermore, compared with the prior art, the mode of transportation of a resident can be more accurately obtained, and the effectively data references can be provided to traffic rules, traffic demand forecasting and the like.
Owner:TONGJI UNIV
Online car-hailing service demand prediction method based on deep neural network
ActiveCN108985475APrecisely predict demand for ride-hailingForecasting demand for ride-hailingReservationsForecastingWeather factorRoad networks
The invention discloses an online car-hailing service demand prediction method based on a deep neural network. The method comprises the following steps: S1, dividing a region of a city road network, and calculating and counting the network car-hailing demand of each region; S2, designing a prediction model of the demand of the network car-hailing: based on the deep neural network, learning and training the spatio-temporal characteristics of the demand of the network car-hailing, combining the influence factors of the weather factors on the willingness of the network car-hailing users, and predicting the regional demand of the next period of time; S3, according to the historical data, training the prediction model of regional car call demand, and then predicting the demand of network car call in each region by using the trained model. By combining external factors and spatio-temporal correlation, this method uses depth neural network to express the complex non-linear spatio-temporal correlation characteristics of the demand for network car-hailing, and can achieve high prediction accuracy.
Owner:XIAMEN UNIV
Spare part assembling demand forecasting information processing method applied to inventory management
InactiveCN102385724AImprove management efficiencyImprove satisfactionLogisticsMoving averageInformation processing
The invention relates to a spare part assembling demand forecasting information processing method applied to inventory management, comprising the following steps:1) take one part of historical sales data as method learning data and take the other part of the historical sales data as weight building data; 2) use the method learning data to practice an ARMA (Autoregression and Moving Average) method, a multiple linear regression method and a BP (Back Propagation) neural network approach respectively for each spare part; 3) apply the above three methods respectively by using the weight building data, so as to obtain forecasting relative error values for different methods; 4) calculate the weights of the above methods; 5)construct an assembling demand forecasting model; 6) forecast the future sales demands of all spare parts. Compared with the prior art, the method is suitable for the spare parts with different demand features, and has the advantages of strong objectivity, high forecasting precision, and can greatly reduce the inventory cost on the premise of having a certain service level and improves the supply chain management efficiency and customer satisfaction.
Owner:SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS
Managing supply chains with model predictive control
Entering a demand prediction for a discrete component product manufactured in a supply chain into a model predictive controller, entering inventory information for an inventory in the supply chain that is associated with the discrete component product into the model predictive controller, and controlling the inventory with the model predictive controller based on the demand prediction is disclosed.
Owner:ARIZONA STATE UNIVERSITY +1
Public bicycle peak time demand prediction method considering user reservation data
InactiveCN105719019AImprove forecast accuracyForecastingTelecommunicationsLeast slack time scheduling
The invention discloses a public bicycle peak time demand prediction method considering user reservation data. The public bicycle peak time demand prediction method is characterized in that 1) user peak time reservation data can be acquired and extracted; 2) the use data of the public bicycle historical peak time can be acquired; 3) the reservation data can be processed, and the reservation demand quantities of different rental stations at different times in the next day can be acquired; 4) the historical data can be processed, and the demand prediction values of different rental stations at different times in the next day can be acquired; 5) the prediction values can be integrated according to the reservation data and the historical data, and the final borrowing and returning demand quantities of different rental stations at different times can be determined; 6) the scheduling demand table having the time window can be drawn. The public bicycle peak time demand prediction method is advantageous in that the accuracy of predicting the bicycle and locking pile demands of different public bicycle rental stations at peak times can be effectively improved, and the data having the actual reference value can be provided for the peak time scheduling.
Owner:SOUTH CHINA UNIV OF TECH
Method and apparatus suitable for demand forecasting
InactiveUS6976001B1Reduce the numberHand manipulated computer devicesPayment architectureRequirements modelData mining
Method and apparatus suitable for demand forecasting. The invention can enable sales forecasting “by item, by size, by location”. The invention features combining a demand profile and a demand model into a single encompassing model which is capable of projecting demand for an identified set of merchandise.
Owner:IBM CORP
Demand forecasting method, system and computer readable storage medium
InactiveUS20070118421A1Amplitude of the periodicity tendsImprove approximationForecastingCommerceLogitData mining
Disclosed are a demand forecasting method, a demand forecasting program, and a demand forecasting system that can adequately forecast a demand for a commodity. A management computer calculates a trend function with respect to demand values. The management computer then calculates the ratio of the demand values to a trend curve, and calculates a logarithm of the ratio. Then, the management computer approximates the calculated natural logarithm curve with a periodic model, and converts the logarithmic scale of the acquired periodic model to a normal scale. Demand forecasting is performed using a demand forecasting model acquired by combining a periodic change model of the normal scale with a trend curve (trend function).
Owner:RICOH KK
Systems and methods for forecasting book demand
Owner:HILDICK SMITH PETER G
P2P content delivery method based on social attribute of users and system adopting same
The invention discloses P2P (peer-to-peer) content delivery network based on the social attribute of users. The P2P content delivery network comprises a central server, an edge server and a P2P sub-network, wherein the edge server and the central server are mutually connected through a special network or a high-speed network; the edge server and the P2P sub-network are mutually connected through the Internet; the P2P sub-network consists of a plurality of user terminals; the central server is used for acquiring the interaction between all users in the P2P sub-network and the content delivery network, tracking the users and computing the document demand and the demand degree of the users; and the demand similarity and demand forecast among the users are computed according to the document demand and the demand degree of the users, and demand evolution treatment is carried out according to the change of the social attribute and the unceasingly acquired user demand. The invention also discloses a P2P content delivery method based on the social attribute of the users. By adopting the invention, the content delivery efficiency is improved.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Double-layer-optimization-based optimized operation management method for electrical-thermal-storage boiler by microgrid
InactiveCN106936147AImprove practical abilityReduce Power MismatchFluid heatersLoad forecast in ac networkMicrogridMicro gas turbine
Owner:国网电力科学研究院武汉能效测评有限公司 +6
Method and system for improving the effectiveness of planned power consumption demand response events
InactiveUS20130123996A1Improve efficiencyEfficient energy consumptionMechanical power/torque controlLevel controlProgram planningComputer science
A method and system for defining and optimizing demand response events is disclosed where at least one initial input parameter is received for selection of a demand response event, a power demand forecast is retrieved, a demand response event is automatically calculated based on the at least one initial input parameter and the power demand forecast, and an interactive user interface, the interactive user interface is generated and includes the power demand forecast, an expected power capacity forecast, and the demand response event.
Owner:SIEMENS CORP
Dynamic business enhancement system
A computer enabled business system is disclosed which provides a business with the ability to be aware on a moment-to-moment basis of their historic, current and future operational states. The business system uses a dynamic data engine for the purposes of creating and displaying historic transactions, current stock levels and forecasted demand data in real-time. As the data is created and cast forward, the data retains attributes of the original transaction data. These attributes are configured and modified dynamically resulting in precise and managed demand forecast, budget and purchasing information. Any change in the raw data as a result of a business transaction is immediately reflected in the demand forecast; hence, the data is in a perpetual dynamic state.
Owner:TOTAL COMM
Traffic demand forecasting method and system for dynamic road network
ActiveCN106846805AHigh precisionAccurate analysisDetection of traffic movementForecastingOccupancy rateRoad networks
The invention discloses a traffic demand forecasting method and system for a dynamic road network. According to the invention, multi-source traffic data is collected and integrated all the time; dynamic grid data is formed through overlapping traffic flow data, geographic information data and traffic management information on the road network; and a data forecasting model is established on the basis of dynamic road network data. The method has characteristics of good real time performance, high accuracy and the like, can improve jamming study and judge precision effectively, so as to provide reasonable traffic demand data (queue, flow, speed, occupancy rate and the like) for signal optimization. The system can improve an optimization model and relieves traffic jams.
Owner:DUOLUN TECH CO LTD
Spare part demand forecast method based on in-service lift estimation
InactiveCN101320455AMeet the statistical reliabilityReasonable Personalized EstimatesSpecial data processing applicationsPredictive methodsOne step prediction
The present invention discloses an in-service life evaluation based spare part demand forecasting method. The present invention uses the historical record of changing parts and components during equipment running process to establish a statistic model and evaluate the life of a spare part under the current in-service condition; spare part demand function is defined according to the evaluation value of in-service life and practical service life, and the spare parts demand total quantity of a plurality of sets of equipment within certain rang of time is forecasted further. The method combines the spare part life evaluation with practical service condition closely, improves the accuracy for forecasting the spare part demand, is applicable to the maintenance instruction of frequently changed parts and components at the equipment and has important meaning for the enterprise to ensure the supply of the spare part and reduce the spare part stock.
Owner:XI AN JIAOTONG UNIV
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