Computation of optimal range of unit product values

A system comprising:

• a processor;
• a cluster generation engine, coupled to the processor, to:
• determine a plurality of identifiers corresponding to names of a plurality of products, the plurality of products having product consumption data with one or more data points indicative of varying product consumption quantities with respect to varying unit product values for a respective product;
• generate two or more clusters for the plurality of identifiers, each of the two or more clusters having a respective set of identifiers from amongst the plurality of identifiers, the set of identifiers relating to products with similar names;
• a computation engine, coupled to the processor, to:
• within each of the two or more clusters, for a first identifier associated with product consumption data having less than three data points, determine a second identifier associated with product consumption data having more than three data points, wherein the determination is based at least in part on a distance between the first identifier and the second identifier;
• and
• based on the determination, compute an optimal range of a unit product value for a product associated with the first identifier.

A non-transitory computer-readable medium having instructions stored thereon, the instructions, when executed by a processor, cause the processor to perform operations comprising:

• generating identifiers corresponding to names of a plurality of products, wherein the plurality of products having product consumption data with one or more data points indicative of varying product consumption quantities with respect to varying unit product values for a respective product;
• clustering the identifiers into an optimal number of clusters, the clustering is based on a similarity in the names of the plurality of products;
• within each cluster, determining a pair of identifiers closest to each other and having a variation in product values within a pre-defined limit, a first identifier from the pair of identifiers relates to a product having product consumption data with less than three data points and a second identifier from the pair of identifiers relates to a product having product consumption data with more than three data points;
• based on the determination, computing an optimal range of a unit product value for the product associated with the first identifier based on demand curve data pertaining to the product associated with the second identifier, the demand curve data is indicative of product consumption quantities with respect to the varying unit product values.