EP3414722A1 - Dynamisches preisgestaltungssystem - Google Patents

Dynamisches preisgestaltungssystem

Info

Publication number
EP3414722A1
EP3414722A1 EP17704932.7A EP17704932A EP3414722A1 EP 3414722 A1 EP3414722 A1 EP 3414722A1 EP 17704932 A EP17704932 A EP 17704932A EP 3414722 A1 EP3414722 A1 EP 3414722A1
Authority
EP
European Patent Office
Prior art keywords
pricing
product
price
information
cold chain
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP17704932.7A
Other languages
English (en)
French (fr)
Inventor
Greg Deldicque
Ciara POOLMAN
Robert A. Chopko
Renee A. EDDY
James J. Minard
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Carrier Corp
Original Assignee
Carrier Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Carrier Corp filed Critical Carrier Corp
Publication of EP3414722A1 publication Critical patent/EP3414722A1/de
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0206Price or cost determination based on market factors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination

Definitions

  • the subject matter disclosed herein relates to providing a price value to a user, and to a system and a method for providing a price value with information from multiple sources to a user.
  • cold chain distribution systems are used to transport and distribute temperature sensitive and perishable goods.
  • products such as food and pharmaceuticals may be susceptible to temperature, humidity, contaminants, and other environmental factors.
  • cold chain systems allow perishable and environmentally sensitive goods to be effectively transported and distributed without damage or other undesirable effects.
  • a system to provide a price value for a product to a user includes at least one cold chain information source to provide at least one product information entry for the product, a pricing system, includes a processor to receive and analyze the at least one product information entry from the at least one cold chain information source, and to provide the price value to the user.
  • the at least one cold chain information source includes at least one of a shelf life estimation system, a demand estimation system, an inventory system, and a price database.
  • further embodiments could include that the at least one pricing display is controlled by a centralized display controller.
  • the at least one pricing display is a segmented display.
  • a method to provide a price value for a product to a user includes providing at least one product information entry for the product via at least one cold chain information source, receiving the at least one product information entry for the product from the at least one cold chain information source via a processor, analyzing the at least one product information entry for the product from the at least one cold chain information source via the processor, and providing the price value to the user via the processor.
  • the at least one cold chain information source includes at least one of a shelf life estimation system, a demand estimation system, an inventory system, and a price database.
  • At least one pricing display is a segmented display.
  • further embodiments could include receiving a price adjustment value from the user via a pricing interface.
  • FIG. 1 illustrates a schematic view of a product information system
  • FIG. 2 is a flow diagram of a method of providing at least price value for a product to a user.
  • FIG. 1 illustrates a schematic view of the product information system 100.
  • the product information system 100 includes at least one cold chain information source 102a-120d and a pricing system 120.
  • the product information system 100 can further include a pricing interface 140 and at least one display 132.
  • the product information system 100 can be used to provide product information such as current prices to a user.
  • the product information system 100 can provide comprehensive and dynamic pricing information regarding the products by analyzing various pricing factors such as expected shelf life, current demand, current pricing, and inventory.
  • the product information system 100 can dynamically optimize prices to minimize the risk of unsold perishable products near the end of their estimated shelf life while maximizing sales prices.
  • the user can modify suggested pricing, which may be considered in future pricing optimizations.
  • the pricing system can dynamically update and display prices.
  • the cold chain information sources 102a- 102d can include, but are not limited to, a shelf life estimation system 102a, a demand estimation system 102b, an inventory system 102c, and a pricing database 102d.
  • the product information system 100 can include any suitable type and number of cold chain information sources not limited to those described herein.
  • the cold chain information sources 102a- 102d can be isolated cold chain information sources, while in other embodiments, the cold chain information sources 102a- 102d may be interconnected.
  • the product information entries can include, but are not limited to, temperatures, humidity levels, ethylene levels, shock values, excursions beyond prescribed parameters, excursion duration, shelf life estimates, demand estimates and forecasts, inventory information, pricing information, etc.
  • the product information system 100 includes a shelf life estimation system 102a.
  • the shelf life estimation system 102a can receive product information entries from various cold chain information sources, analyze the product information entries and utilize predictive models to determine an estimated shelf life of a product.
  • the shelf life estimation system can utilize information from multiple sources using parameters to provide a simplified and more accurate estimated shelf life.
  • the processor of the shelf life estimation system 102a can utilize product information entries such as temperatures, environmental conditions, trailer conditions, etc., to determine estimated shelf life. Accordingly, the shelf life estimation system 102a can analyze information received from various cold chain information sources such as sensors located at various portions of the cold chain system.
  • the shelf life estimation system 102a can utilize algorithms to estimate remaining shelf life.
  • the shelf life estimation system 102a can utilize machine learning algorithms to learn predictive data models.
  • the shelf life estimation system 102a can utilize laboratory data to obtain models and make adjustments to shelf life estimates.
  • the shelf life estimation system 102a can perform and tailor shelf life estimates for products based on experienced conditions instead of utilizing and adapting previous laboratory results.
  • the product information system 100 includes a demand estimation system 102b.
  • the demand estimation system 102b can provide information about forecasted demand, due to time of the year, time of the week, previous demand, weather trends, social media trends, news, analyst reports, etc.
  • the demand estimation system 102b can utilize various sources and analysis tools to provide demand estimates of certain products. Demand estimates can include an estimated value along with a confidence interval.
  • the product information system 100 includes an inventory information system 102c.
  • the inventory information system 102c can provide a product location, a product age, a product temperature, a product humidity, etc.
  • the inventory information system 102c can provide product aging information to determine the best time to distribute a product to allow the product to arrive at a desired time or a desired condition such as desired ripeness, etc.
  • the product information system 100 includes a pricing database 102d.
  • the pricing database 102d can provide historic price information for a product, as well as price information at various locations (different stores, cities, countries, etc.).
  • the pricing database 102d can correlate pricing information with geographic location, trends, etc.
  • the pricing database 102d can contain prices of comparable or similar products.
  • the pricing system 120 includes a processor 122.
  • the pricing system 120 can receive product information entries from various cold chain information sources 102a- 102d, analyze the information entries, and provide a dynamically updated price reflecting information received from the cold chain information sources 102a- 102d.
  • the pricing system 120 can determine an optimal price value for a product based on various cold chain information sources analyzed in light of selected criteria and strategies.
  • the pricing system 120 can optimize prices to maximize total sales.
  • the pricing system 120 can optimize prices to remove all low shelf life inventories.
  • the pricing system 120 can further consider future demand, current inventory at distributors, future inventory levels, etc.
  • the pricing system 120 can weigh different strategies and business decisions as required by a user and blend strategies as required.
  • the processor 122 can receive product information entries from the plurality of cold chain information sources 102a- 102d.
  • information entries can include, but are not limited to shelf life estimate values from the shelf life estimation system 102a, a demand estimation value from the demand estimation system 102b, an inventory level form the inventory system 102c, and historical pricing information from the pricing database 102d.
  • the processor 122 gather and correlate information entries, such as correlating historical inventory and pricing values.
  • the processor 122 can apply any suitable strategy, algorithm or solving method to optimize the price for any given criteria using the information received. Therefore, the processor 122 can provide a price value that will consider shelf life, demand estimates, inventory, pricing history, etc.
  • the processor 122 can optimize a price value to solve between a maximized total sales amount and a minimized low shelf life inventory as desired by the user. In certain embodiments, the processor 122 can further consider feedback received from the pricing interface 140 to receive additional pricing adjustment information.
  • the product information system 100 can include a pricing interface 140.
  • the pricing interface 140 can send and receive information to and from the pricing system 120.
  • the pricing interface 140 can provide pricing adjustments to the pricing system 120.
  • the pricing interface 140 can communicate current prices suggested by the pricing system 120.
  • the user can review the prices and override prices as desired.
  • the user can identify a need or a desire to adjust the prices based on factors that may not currently be considered by the pricing system 120.
  • the price input from the user can be higher or lower than the suggested price from the pricing system 120.
  • the pricing interface 140 can show relevant information from cold chain information sources 102a- 102d to assist users to make pricing determinations.
  • the user can further provide additional feedback with the adjusted price value to allow the pricing system 120 to learn additional information that may be useful in pricing decisions.
  • the resulting input prices can be sent back to the pricing system 120 to adjust pricing estimates in the future.
  • the product information system 100 can include at least one display 132.
  • the pricing system 120 can display suggested prices on displays 132.
  • the prices displayed can be adjusted as described in pricing interface 140.
  • a product information system 100 can include multiple displays 132.
  • the displays 132 can be segmented displays.
  • displays 132 can be multipurpose displays such as liquid crystal displays.
  • displays 132 can display multiple price values and additional information, such as a menu, etc.
  • the displays 132 can automatically receive pricing information in response to changes or information sent from the pricing system 120.
  • the displays 132 can display dynamic pricing information.
  • a pricing display controller 130 can centrally control the displays 132.
  • the pricing display controller 130 can receive information or instructions from the pricing system 120.
  • the pricing display controller 130 can receive pricing information from a web interface, phone application, or tablet application to allow users to change price information on displays 132.
  • the information can be directed to a specific or multiple displays 132 to display the pricing information.
  • the pricing display controller 130 can communicate with the displays 132 via wired or wireless communication methods.
  • a method 200 for providing at least one price value for a product for a user is described.
  • at least one product information entry for the product is provided via at least one cold chain information source.
  • the cold chain information sources can include, but are not limited to, a shelf life estimation system, a demand estimation system, an inventory system, and a pricing database.
  • the product information system can include any suitable type and number of cold chain information sources not limited to those described herein.
  • the product information entries can include, but are not limited to, temperatures, humidity levels, ethylene levels, shock values, excursions beyond prescribed parameters, excursion duration, shelf life estimates, demand estimates and forecasts, inventory information, pricing information, etc.
  • the at least one product information entry for the product from the at least one cold chain information source is received via a processor.
  • information entries can include, but are not limited to shelf life estimate values from the shelf life estimation system, a demand estimation value from the demand estimation system, an inventory level form the inventory system, and historical pricing information from the pricing database.
  • the processor gather and correlate information entries, such as correlating historical inventory and pricing values.
  • the at least one product information entry for the product from the at least one cold chain information source is analyzed via the processor.
  • the processor can apply any suitable strategy, algorithm or solving method to optimize the price for any given criteria using the information received. Therefore, the processor can provide a price value that will consider shelf life, demand estimates, inventory, pricing history, etc.
  • the price value to the user is provided via the processor.
  • a price adjustment value is received from the user via a pricing interface.
  • the pricing interface can show relevant information from cold chain information sources to assist users to make pricing determinations.
  • the user can further provide additional feedback with the adjusted price value to allow the pricing system to learn additional information that may be useful in pricing decisions.
  • the price value is displayed via at least one pricing display.
  • the prices displayed can be adjusted as described in pricing interface.
  • a product information system can include multiple displays.
  • the displays can be segmented displays.

Landscapes

  • Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
EP17704932.7A 2016-02-12 2017-02-01 Dynamisches preisgestaltungssystem Ceased EP3414722A1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662294700P 2016-02-12 2016-02-12
PCT/US2017/016000 WO2017139150A1 (en) 2016-02-12 2017-02-01 Dynamic pricing system

Publications (1)

Publication Number Publication Date
EP3414722A1 true EP3414722A1 (de) 2018-12-19

Family

ID=58018287

Family Applications (1)

Application Number Title Priority Date Filing Date
EP17704932.7A Ceased EP3414722A1 (de) 2016-02-12 2017-02-01 Dynamisches preisgestaltungssystem

Country Status (3)

Country Link
EP (1) EP3414722A1 (de)
CN (1) CN108604349A (de)
WO (1) WO2017139150A1 (de)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200387919A1 (en) * 2019-06-10 2020-12-10 International Business Machines Corporation Product evaluation based on dynamic metrics
KR20230091629A (ko) * 2021-12-16 2023-06-23 주식회사 캐플릭스 빅데이터를 이용한 가격 결정이 가능한 렌터카운영시스템

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012052599A1 (en) * 2010-10-22 2012-04-26 Upm Rfid Oy Advanced functionality of remote-access devices
CN104992309A (zh) * 2015-06-11 2015-10-21 北京君信微科科技有限公司 一种基于物联网的全产业链农场云服务系统

Also Published As

Publication number Publication date
WO2017139150A1 (en) 2017-08-17
CN108604349A (zh) 2018-09-28

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