Real-time sales support and learning tool
First Claim
Patent Images
1. A method comprising:
- detecting, in an interaction between a sales agent and a customer, spoken words of at least one of the sales agent and the customer;
determining a first geographic location relevant to the interaction between the sales agent and the customer;
based on the determination of the first geographic location relevant to the interaction between the sales agent and the customer, determining a first product type associated with the first geographic location relevant to the interaction between the sales agent and the customer;
filtering data associated with the detected spoken words to prioritize identification of a first context relevant to the first product type associated with the first geographic location relative to identification of a context relevant to a second product type associated with a second geographic location, the second product type being different than the first product type and the second geographic location being different than the first geographic location;
determining, by a processor, a context of the interaction based on the filtering;
linking the determined context to stored product information relevant to the determined context of the interaction;
retrieving, by a processor, the stored product information relevant to the determined context of the interaction; and
providing the retrieved information in an electronically presentable format to the sales agent,wherein detecting, in the interaction between the sales agent and the customer, spoken words of at least one of the sales agent and the customer comprises detecting, in an interaction between a sales agent and a customer occurring in a retail sales store, spoken words of at least one of the sales agent and the customer;
wherein determining the first geographic location relevant to the interaction between the sales agent and the customer comprises determining a first location in the retail sales store where the interaction between the sales agent and the customer is occurring;
wherein determining the first product type associated with the first geographic location relevant to the interaction between the sales agent and the customer comprises determining a first product type located in an area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring; and
wherein filtering data associated with the detected spoken words to prioritize identification of a context relevant to the first product type associated with the first geographic location relative to identification of a context relevant to a second product type associated with a second geographic location comprises filtering data associated with the detected spoken words to prioritize identification of a context relevant to the first product type located in the area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring relative to identification of a context relevant to a second product type located in another area of the retail sales store that does not correspond to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring.
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Abstract
A real time sales support method includes automatically monitoring an interaction between a sales agent and a customer. One or more contexts of the interaction are determined and, based on the contexts, stored information relevant to the interaction is automatically retrieved. The retrieved information is provided in an electronically presentable format to the sales agent to be shared with the customer.
17 Citations
20 Claims
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1. A method comprising:
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detecting, in an interaction between a sales agent and a customer, spoken words of at least one of the sales agent and the customer; determining a first geographic location relevant to the interaction between the sales agent and the customer; based on the determination of the first geographic location relevant to the interaction between the sales agent and the customer, determining a first product type associated with the first geographic location relevant to the interaction between the sales agent and the customer; filtering data associated with the detected spoken words to prioritize identification of a first context relevant to the first product type associated with the first geographic location relative to identification of a context relevant to a second product type associated with a second geographic location, the second product type being different than the first product type and the second geographic location being different than the first geographic location; determining, by a processor, a context of the interaction based on the filtering; linking the determined context to stored product information relevant to the determined context of the interaction; retrieving, by a processor, the stored product information relevant to the determined context of the interaction; and providing the retrieved information in an electronically presentable format to the sales agent, wherein detecting, in the interaction between the sales agent and the customer, spoken words of at least one of the sales agent and the customer comprises detecting, in an interaction between a sales agent and a customer occurring in a retail sales store, spoken words of at least one of the sales agent and the customer; wherein determining the first geographic location relevant to the interaction between the sales agent and the customer comprises determining a first location in the retail sales store where the interaction between the sales agent and the customer is occurring; wherein determining the first product type associated with the first geographic location relevant to the interaction between the sales agent and the customer comprises determining a first product type located in an area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring; and wherein filtering data associated with the detected spoken words to prioritize identification of a context relevant to the first product type associated with the first geographic location relative to identification of a context relevant to a second product type associated with a second geographic location comprises filtering data associated with the detected spoken words to prioritize identification of a context relevant to the first product type located in the area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring relative to identification of a context relevant to a second product type located in another area of the retail sales store that does not correspond to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A sales support tool comprising:
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a data processing system; an audio input device configured to non-obtrusively detect at least part of a conversation between a sales agent and a customer; programming code operational with the data processing system to; detect, in an interaction between a sales agent and a customer, spoken words of at least one of the sales agent and the customer; determine a first geographic location relevant to the interaction between the sales agent and the customer; based on the determination of the first geographic location relevant to the interaction between the sales agent and the customer, determine a first product type associated with the first geographic location relevant to the interaction between the sales agent and the customer; filter data associated with the detected spoken words to prioritize identification of a first context relevant to the first product type associated with the first geographic location relative to identification of a context relevant to a second product type associated with a second geographic location, the second product type being different than the first product type and the second geographic location being different than the first geographic location; determine a context of the interaction based on the filtering; link the determined context to stored product information relevant to the determined context of the interaction; retrieve, by a processor, the stored product information relevant to the determined context of the interaction; and provide the retrieved information in an electronically presentable format to the sales agent, wherein the programming code is operational with the data processing system to detect, in the interaction between the sales agent and the customer, spoken words of at least one of the sales agent and the customer by detecting, in an interaction between a sales agent and a customer occurring in a retail sales store, spoken words of at least one of the sales agent and the customer; wherein the programming code is operational with the data processing system to determine the first geographic location relevant to the interaction between the sales agent and the customer by determining a first location in the retail sales store where the interaction between the sales agent and the customer is occurring; wherein the programming code is operational with the data processing system to determine the first product type associated with the first geographic location relevant to the interaction between the sales agent and the customer by determining a first product type located in an area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring; and wherein the programming code is operational with the data processing system to filter data associated with the detected spoken words to prioritize identification of a context relevant to the first product type associated with the first geographic location relative to identification of a context relevant to a second product type associated with a second geographic location by filtering data associated with the detected spoken words to prioritize identification of a context relevant to the first product type located in the area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring relative to identification of a context relevant to a second product type located in another area of the retail sales store that does not correspond to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A method comprising:
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detecting, in an interaction between a sales agent and a customer occurring in a retail sales store, spoken words of at least one of the sales agent and the customer; determining a first location in the retail sales store where the interaction between the sales agent and the customer is occurring; based on the determination of the first location in the retail sales store where the interaction between the sales agent and the customer is occurring, processing the detected spoken words by; focusing on identifying keywords related to products found in an area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring, and avoiding keywords related to products found in other areas of the retail sales store that do not correspond to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring; determining, by a processor, a context of the interaction based on the processing of the detected spoken words; linking the determined context to stored product information relevant to the determined context of the interaction; retrieving, by a processor, the stored product information relevant to the determined context of the interaction; and providing the retrieved information in an electronically presentable format to the sales agent. - View Dependent Claims (14, 15, 16)
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17. A sales support tool comprising:
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a data processing system; an audio input device configured to non-obtrusively detect at least part of a conversation between a sales agent and a customer; and programming code operational with the data processing system to; detect, in an interaction between a sales agent and a customer occurring in a retail sales store, spoken words of at least one of the sales agent and the customer; determine a first location in the retail sales store where the interaction between the sales agent and the customer is occurring; based on the determination of the first location in the retail sales store where the interaction between the sales agent and the customer is occurring, process the detected spoken words by; focusing on identifying keywords related to products found in an area of the retail sales store that corresponds to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring, and avoiding keywords related to products found in other areas of the retail sales store that do not correspond to the first location in the retail sales store where the interaction between the sales agent and the customer is occurring; determine a context of the interaction based on the processing of the detected spoken words; link the determined context to stored product information relevant to the determined context of the interaction; retrieve the stored product information relevant to the determined context of the interaction; and provide the retrieved information in an electronically presentable format to the sales agent. - View Dependent Claims (18, 19, 20)
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Specification