Abstract: A global market model models aspects of the global marketplace and provides models of market segments, value chains of those market segments, organizations, products, and other aspects of the global marketplace. Requests for market intelligence of a global market model are received and can include, in some instances, market intelligence relating to competitors, suppliers, channel partners, market size, market share, market share drivers, and demand changes within the global marketplace. Parameters of the requests are identified and used to identify business logic responsive to the request. One or more model instances of the global market model are identified from the parameters. The identified business logic is applied to the identified model instances to generate a response to the request. In some instances, business logic can be embodied in a plurality of query modules and identifying responsive business logic can include invoking a corresponding one of the plurality of query modules.

Abstract: A method comprising receiving planned order information, receiving actual order information, determining an assortment of products based on the planned order information and the actual order information, determining an assortment breadth that is a count of product identifiers comprised by the assortment of products, causing display of an assortment breadth indicator that indicates the assortment breadth, identifying a product attribute type that is descriptive of a classification of at least one product attribute, determining a set of product attribute breadths associated with the product attribute type such that each product attribute breadth of the set of product attribute breadths is associated with a distinct product attribute of the product attribute type, the product attribute breadth being a count of product identifiers that identify products that have the distinct product attribute, and causing display of a set of product attribute breadth indicators that indicate the set of product attribute breadths

Abstract: A method comprising receiving information indicative of a product candidate attribute selection input that identifies a product candidate attribute comprised by a product candidate, the product candidate attribute corresponding with a product attribute that is comprised by a customer store segment sales model, and the customer store segment sales model comprising a set of customer store segments, causing display of a quadrant image that depicts a set of quadrant representations such that each quadrant representation of the set of quadrant representations represents a customer store segment of the set of customer store segments, causing display of a store count indicator that indicates a store count in response to the product candidate attribute selection input, and causing display of a projected buy quantity indicator that indicates a projected buy quantity in response to the product candidate attribute selection input.

Abstract: A method comprising determining an inventory exception inference associated with a product, determining an inventory inspection directive for the product based, at least in part, on the inventory exception inference, receiving the inspected inventory state data based, at least in part, on the inventory inspection directive, and determining that an actual inventory exception exists for the product based, at least in part, on the inspected inventory state data is disclosed.

Abstract: A method comprising receiving information indicative of a product candidate that comprises a plurality of product candidate attributes, the product candidate attributes corresponding with product attributes that are comprised by a customer store segment sales model, the customer store segment sales model comprising a set of customer store segments, determining a relative intersegment quantity of sales for each customer store segment of the set of customer store segments, determining a relative intrasegment quantity of sales for each customer store segment of the set of customer store segments, generating a set of quadrant representations such that each quadrant representation of the set of quadrant representations represents a customer store segment of the set of customer store segments, and determining a purchase recommendation for a customer store segment based, at least in part, on a quadrant representation that represents the customer store segment.

Abstract: A method comprising identifying a set of stores, the set of stores comprising information indicative of a plurality of stores, and each store of the set of stores comprising a set of store attributes, identifying a first set of customer attributes, segmenting the set of stores into a first set of customer store segments, identifying a first set of product attributes, generating a first set of product attribute sales summaries that comprises a product attribute sales summary for each customer store segment of the first set of customer store segments, determining a first distinctiveness rating for the product attribute sales summary for each customer store segment of the first set of customer store segments, and determining a customer store segment sales model based, at least in part, on the first set of customer store segments, the first set of product attribute sales summaries, and the first distinctiveness rating is disclosed.

Abstract: A method comprising determining an inventory exception inference associated with a product, determining an inventory inspection directive for the product based, at least in part, on the inventory exception inference, receiving the inspected inventory state data based, at least in part, on the inventory inspection directive, and determining that an actual inventory exception exists for the product based, at least in part, on the inspected inventory state data is disclosed.

Abstract: A plan model is identified that is adapted to model business outcomes for a particular domain, the plan model including a respective scope model defining the particular domain. A value can be identified of an input driver or outcome measure of the plan model. A scenario can be generated from the plan model for the particular domain based on the identified value. In some instances, business outcomes of plan models are expressed as one or more respective outcome measures. Each plan model can further include one or more input drivers representing variables influencing the one or more outcome measures, a respective scope model defining the domain of the plan model, and a sensitivity model corresponding to the domain and defining one or more dependencies between the input drivers and outcome measures.