Image recognition inventory management system

• US 20030154141A1
• Filed: 09/18/2002
• Published: 08/14/2003
• Est. Priority Date: 09/18/2001
• Status: Abandoned Application

• Current Assignee: Pro Corp Holdings International Ltd.
• Original Assignee: Pro Corp Holdings International Ltd.
• Inventors: Rubin, Jeffrey, Capazario, Mario
• Application Number:
  US10/246,384
• Publication Number:
  US 20030154141A1
• Time in Patent Office: Days
• US Class Current: 705/27
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]

Abstract

A method and system that includes a microprocessor device with memory adapted to receive input corresponding to a report at an instant of time of an amount of product in a product display in a business, and further adapted to store the data in the memory. The method and system also include a central computer for receiving and processing the data from the microprocessor device so that the computer is configured to create a planogram which optimizes the display of the product by maximizing the amount of desired product and minimizes the amount of undesired product to be displayed. The central computer further contacts product suppliers so that the quantity of supplied product always meets the requirements of the planogram.

Claims

1. A method of generating a product display planogram, which method comprises the steps of:

(a) inputting data associated with a group of products on display and quantity of specific products within a category of products into a microprocessor with an electronic memory;

(b) processing the inputted data to create an image representation to determine a product display as a function of product placement and quantity; and

(c) producing a planogram showing the product placement and the quantity of the product.

2. The method of claim 1, further comprising the steps of:

analyzing the inputted data and a product inventory to determine the quantity of the product remaining; and

ordering the product when quantity of the product remaining reaches a predetermined value.

3. The method of claim 1, further comprising the steps of:

analyzing the inputted data to determine a peak purchase time and a quantity of the product sold during the peak purchase time; and

ordering the product to arrive prior to the peak purchase time; and

ordering a sufficient quantity of the product to satisfy the quantity of product sold at the peak purchase time.

4. The method of claim 1, wherein the inputted data comprises a graphical representation of an amount of allocated space for the product.

5. The method of claim 1, wherein the microprocessor and the electronic memory are located in a handheld computer device.

6. The method of claim 5, further comprising the steps of:

downloading the image representation from the handheld computer device into a central computer.

7. The method of claim 1, further comprising the steps of:

repeating the steps for each of the product displays to create the planogram of each of the product displays in a store.

8. The method of claim 7, further comprising the steps of:

repeating the all above steps for the store within a chain of the stores so that each of the stores can develop a unique planogram.

9. The method of claim 1, wherein the data is inputted during a peak purchase time.

10. The method of claim 1, further comprising the steps of:

generating a product reorder.

11. The method of claim 1, wherein the data is inputted by an independent field representative.

12. A system for optimizing a product display comprising:

a programmable microprocessor network, the programmable microprocessor network being configured to receive data of a product on a product display and a quantity of specific products within a category of the products, process the data as a function of a product geometry, a display geometry, and the amount of the product that exists at the time the data is entered into the programmable microprocessor network; and

a microprocessor connected to the programmable microprocessor network and producing a planogram to optimize the display geometry such that the amount of allocated space for the product is inversely proportional to the relative quantity of remaining product.

13. The system of claim 12, wherein the product geometry is the size, shape and preferred facing of the product.

14. The system of claim 12, wherein the display geometry is the arrangement, shelf position and quantity of each product on a shelf.

15. The system of claim 12, further comprising:

a communication device connected to the programmable microprocessor network to receive product quantity information and communicate to a supplier to order the product.

16. A system comprising:

a microprocessor device including;

an electronic memory adapted to receive and store an input of data corresponding to a visual report of an amount of a product in a product display in a store a; and

a central computer for receiving and processing the data from the microprocessor device with the central computer being configured to create a planogram which optimizes the product display of the product, whereby the central computer maximizes the amount of desired product and minimizes the amount of undesired product to be displayed.

17. A method of managing inventory comprising the steps of:

recording an image of a shelf having of a plurality of products stored thereon;

using an image recognition system to identify each product and a location of each product; and

creating a planogram using the identity and the location of each product.

18. The method of claim 17, further comprising an image recognition database stored in a central computer, the image recognition database including a plurality of images of all the products contained in a store.

19. The method of claim 18, further comprising a video camera installed in the store such that it has a constant view of the shelf, the video camera being linked to a central computer over a Local Area Network (LAN) or a Wide Area Network (WAN).

20. The method of claim 19, further comprising the step of transmitting real time images of the shelf over the LAN or WAN to the central computer.

21. The method of claim 18, further comprising the steps of detecting and distinguishing between different products on the shelf by accessing the image recognition database and comparing the real time image to the images stored in the image recognition database

22. The method of claim 21, wherein image recognition software is on the central computer and detecting and distinguishing between the different products on the shelf by referring to the image recognition database.

23. The method of claim 18, further comprising the step of communicating over the LAN/WAN to a supplier who supplies the products to the store to order more product.

24. The method of claim 22, further comprising the step of detecting if one product is out of stock on the shelves using the image recognition software on the central computer.

25. The method of claim 23, wherein the central computer contacts the supplier over the LAN/WAN when one product is detected as being out of stock and places an order for an additional amount of replacement product to be delivered.

26. The method of claim 21, further comprising the step of updating the planogram using information the central computer receives from the image recognition software and the supplier.

27. The method of claim 26, further comprising the step of printing the new planogram on a printer.

28. The method of claim 23, further comprising the step of wirelessly communicating product information with the central computer using a microprocessor and an electronic memory.

29. The method of claim 24, wherein the central computer transmits the new planogram to the microprocessor to be stored in the electronic memory.

30. A system for optimizing stocking and delivery of items sold to a store on a ‘

route’

delivery system comprising;

a central computer;

an order report generated by the central computer when the central computer detects the missing products on the shelf, the central computer storing a running total of every the product that is out of stock, and the central computer compiling the totals into the order report.

31. The system of claim 30, further comprising an image recognition database stored in the central computer, the image recognition database is comprised of images of all products in every store.

32. The system of claim 31, further comprising a video camera installed in each of the stores, the video camera has a constant view of a stocked shelf, the video camera is linked to the central computer over a Wide Area Network (WAN).

33. The system of claim 32, wherein the video camera is transmitting real time images of the shelf over the WAN to the central computer.

34. The system of claim 32, further comprising image recognition software running on the central computer, and configured to detect and distinguish between different types of the products on the shelf by accessing the image recognition database and comparing the real time image to images stored in the image recognition database.

35. A method of managing perishable products, comprising the steps of:

benchmarking a current managing procedure;

implementing a new managing procedure; and

auditing to determine compliance with the new managing procedure.

36. The method of claim 35, wherein the benchmarking procedure comprises the step of compiling a list of factors crucial to the proper management of the perishable products.

37. The method of claim 36, wherein the factors include hygiene, product rotation, cold room facilities, temperature, light and product exposure.

38. The method of claim 37, wherein the hygiene is the cleanliness of the perishable product and the cleanliness of a product display, the product display comprising a shelf or group of shelves where the perishable products are displayed.

39. The method of claim 38, wherein the product rotation comprises the steps of:

rotating the perishable product to be stocked on the product display so the perishable product having the closest expiration date to the current date is always in the front of the product display; and

removing the perishable products that have expired from the product display.

40. The method of claim 39, further comprising the step of keeping a cold room facility at a specific temperature depending on the nature of the perishable item.

41. The method of claim 39, wherein the product exposure is how and where the perishable product is placed on the product display.

42. The method of claim 35, further comprising an audit sheet, the audit sheet comprising a list of factors, wherein each factor comprises a corresponding point score that varies with the degree of compliance with the list of factors.

43. The method of claim 35, further comprises the step of performing an audit prior to implementing the new managing procedure, a minimum time for the benchmark audit is one (1) week prior to implementing the new management procedure.

44. The method of claim 37, wherein the new management procedure comprises changes to one or more of the list of factors.

45. The method of claim 41, further comprising the step of randomly auditing the new managing system, the random audit is performed a minimum of once a day for four (4) weeks after the new managing system has been implemented.

46. The method of claim 42, wherein the random audit uses the same the list of factors used in the benchmark audit, the random audit preformed by an independent employee not affiliated with the store.

47. The method of claim 46, wherein the audit sheet is displayed on a microprocessor with electronic memory.

48. The method of claim 46, further comprising the step of tallying a total point score from the audit sheet.

49. The method of claim 48, further comprising the steps of:

reviewing the tally sheets; and

contacting the store on every second day with the total point score.

50. The method of claim 49, further comprising the step of assisting the store with any of the factors the store scored low on.

51. The method of claim 47, further comprising the step of auditing only the stores that continually receive low point scores the audit sheets.

52. The method of claim 49, further comprising the step of daily contacting the store with the point score from the tally sheet;

and

offering to help the store improve the factors.

53. The method of claim 49, further comprising the step of continually auditing the store receiving the low point score on the audit sheets.