公开(公告)号：US11416881B2

公开(公告)日：2022-08-16

申请号：US17216029

申请日：2021-03-29

Applicant: Tata Consultancy Services Limited

Inventor： Gokul Karthik ,  Avinash Achar ,  Balaraman Ravindran

IPC: G06Q30/02 ,  G06N7/00 ,  G06Q10/04

Abstract: This disclosure relates generally to method and system for forecasting sales based on N-Gram model. The present disclosure provides accurate prediction of sales for optimal operations to reduce the cost. The method receives a plurality of inputs of each product comprising a sales history, and a current price bin. The categorical sale(s) for each product is discretized based on the sales history by clustering each product sales history into a one or more groups based on a maximum sales velocity range. Further, a probability table is generated for the discretized categorical sales of each product based on computing a round off weighted mean and a median using a N-Gram model. Then, a smooth probability table is computed for the generated probability table. To forecast sales multistep prediction for the smooth probability table is computed based on at least one of a joint approach, a bootstrapped approach, and a step greedy approach.