Streamlining Order Fulfillment using SAP and PEGA powered by AI/ML
Abstract
In this fast changing digital environment, organizations continue to
grapple with the challenge of improving order fulfillment efficiency
while striving to keep accuracy and customer satisfaction at par. In this
research, the provision of artificial intelligence (AI) and machine
learning (ML) capabilities to the SAP and PEGA systems is analyzed
in detail, developing their use to radically transform the traditional
order fulfillment operations. A mixed method research approach is
employed using performance metrics and organizational impacts
assessments in a large scale enterprise environment over a 24 month
period of implementation.
grapple with the challenge of improving order fulfillment efficiency
while striving to keep accuracy and customer satisfaction at par. In this
research, the provision of artificial intelligence (AI) and machine
learning (ML) capabilities to the SAP and PEGA systems is analyzed
in detail, developing their use to radically transform the traditional
order fulfillment operations. A mixed method research approach is
employed using performance metrics and organizational impacts
assessments in a large scale enterprise environment over a 24 month
period of implementation.
