Applying Machine Learning Techniques to the Identification and Correction of Anomalies in Transaction Sale Data

SAP provides software infrastructure and tools to help companies, big and small, realize their business. SAP Labs Montreal, focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for example purchases made by each and every customers of the retail industry. Sales transactions are generated by point of sale systems used by cashiers and sent to a central server for validation and consistency checks. Many issues can lead to inconsistencies in transaction data, for example, an incorrect transaction date, an incorrect product price, or an erroneous product code, etc. Currently, because of there are no semi-automated approach and because this process has not been studied in details, erroneous sales transactions data are verified manually, which is a time-consuming, labor-intensive, error-prone process. TO BE CONT’D

Faculty Supervisor:

Yann-Gael Gueheneuc;Foutse Khomh;Foutse Khomh

Student:

Partner:

SAP Canada Inc (Montreal, QC)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

École Polytechnique de Montréal

Program: