Abstract: In an aspect of the invention, a computer-implemented method includes: receiving, by a computing device via computer network, a plurality of session data records indicating computer network browsing activity between a plurality of client devices and a merchant server hosting an online store; aggregating, by the computing device, a subset of the plurality of session data records for a single product, of a plurality of products, identified in the session data records and offered for purchase by the online store; extracting, by the computing device, features from the aggregated subset of session data records relating to customer demand for a the single product; modeling, by the computing device, customer demand for the single product based on the extracted features; optimizing, by the computing device, a price for the single product based on results of the modeling; and publishing, by the computing device, the optimized price.

Abstract: Machine logic (for example, software) for determining a placement mode of at least one kind of objects in a multiplicity of storage areas are disclosed. A placement method includes the following operations: determining attraction factors of the multiplicity of storage areas, an attraction factor of each storage area indicating a capability that the storage area attracts attention of a customer; determining a spatial elasticity factor of the at least one kind of objects, a spatial elasticity factor of each kind of objects indicating an impact of a change of the storage areas where the kind of objects are placed on an attention degree of the kind of objects; and determining the placement mode of the objects in the multiplicity of storage areas, at least according to the attraction factors of the multiplicity of storage areas and the spatial elasticity factor of the at least one kind of objects.

Abstract: In an aspect of the invention, a computer-implemented method includes: receiving, by a computing device via computer network, a plurality of session data records indicating computer network browsing activity between a plurality of client devices and a merchant server hosting an online store; aggregating, by the computing device, a subset of the plurality of session data records for a single product, of a plurality of products, identified in the session data records and offered for purchase by the online store; extracting, by the computing device, features from the aggregated subset of session data records relating to customer demand for a the single product; modeling, by the computing device, customer demand for the single product based on the extracted features; optimizing, by the computing device, a price for the single product based on results of the modeling; and publishing, by the computing device, the optimized price.

Abstract: Machine logic (for example, software) for determining a placement mode of at least one kind of objects in a multiplicity of storage areas are disclosed. A placement method includes the following operations: determining attraction factors of the multiplicity of storage areas, an attraction factor of each storage area indicating a capability that the storage area attracts attention of a customer; determining a spatial elasticity factor of the at least one kind of objects, a spatial elasticity factor of each kind of objects indicating an impact of a change of the storage areas where the kind of objects are placed on an attention degree of the kind of objects; and determining the placement mode of the objects in the multiplicity of storage areas, at least according to the attraction factors of the multiplicity of storage areas and the spatial elasticity factor of the at least one kind of objects.