In the past two decades, several organizations have gone in for the implementation of ERP in their respective organizations, but with mixed results. Wherever the implementation has not produced the desired results, the client organization has invariably blamed the implementer of ERP for the failure to deliver the deliverables while the ERP software implementer has blamed the client organization for not being able to specify exactly what they want and thus the blame game goes on. The real reason, however, for the failure of ERP lies neither with the client nor with the implementing agency/ software company. This failure is attributable to the lack of a standard approach or methodology to describe the business process in an unambiguous manner so that the ERP
implementer and his client organization are on the same page. It is therefore felt that an Out-of-the- Box solution is the need of the hour, hence this work. This book ,inter alia, suggests a systems approach to the implementation of ERP so that there is no communication gap between the implementer and the client and the project is implemented successfully to everyone's satisfaction. Case studies and examples based on Artificial Intelligence/Machine Learning and allied techniques as applied to business processes are also presented in this book.
