Abstract: A system, method and computer program product are disclosed for normalizing data in a supply chain management framework. A plurality of data types are defined with each data type including parameters. Data is received utilizing a network from a plurality of point of sale outlets of a supply chain that relates to an amount of goods sold by the point of sale outlets. A format of the data is verified against the parameters of the defined data types and any discrepancies between the format of the data and the parameters of the defined data types are corrected for facilitating an analysis of the data.

Abstract: A system, method and computer program product are disclosed for generating supply chain statistics. Data is received utilizing a network from a plurality of stores, distributors and suppliers of a supply chain. The data is sampled and supply chain statistics are generated based on the sampling. The generated supply chain statistics are utilized for demand forecasting, advance planning, and/or volume tracking in the supply chain.

Abstract: A system, method and computer program product are disclosed for providing feedback on forecasting relating to the sale of goods in a store utilizing a network-based supply chain management framework. Forecasting of at least one aspect of a supply chain is performed based on a first set of data collected from a plurality of stores of the supply chain utilizing a network. The first set of data relates to an amount of goods sold by the stores. A second set of real-time data is collected from the stores utilizing the network. The second set of real-time data relates to the amount of goods sold by the stores. The second set of real-time data is compared against the forecasting and the results of the comparison are fed back for facilitating supply chain management.

Abstract: A system, method and computer program product are disclosed for normalizing data in a supply chain management framework. A plurality of data types are defined with each data type including parameters. Data is received utilizing a network from a plurality of point of sale outlets of a supply chain that relates to an amount of goods sold by the point of sale outlets. A format of the data is verified against the parameters of the defined data types and any discrepancies between the format of the data and the parameters of the defined data types are corrected for facilitating an analysis of the data.

Abstract: A system, method and computer program product are disclosed for assessing market trends in a supply chain management framework. A network is utilized to receive data that relates to the sale of goods by a plurality of stores in a plurality of regions. The received data is tagged with a date on which it was collected and then organized by region and dates. Market trends are then assessed utilizing the organized data.