Just like the rest of world, supply chain disruption has hit North Pole, Inc (NPI). NPI is a nonprofit toy distribution outfit that operates in multiple countries across the globe. Most organizations have made contingency plans and set expectations that some customers will have to wait until Q1 for their products. NPI’s general manager, Nicholas, does not have that luxury. He has a rigid deadline to complete all deliveries by the end of week 51, 2021. Another challenge is he is short staffed and can’t get supplies to build more product. He needs to find a way to leverage what he has in his current warehouses. The question is how. His current stock does not match the requests that came in on the digital commerce system he implemented last year.
NPI brought together all departments to address this mission critical issue. They combined the current wishes, past requests and other items that were considered before their patrons made their final selection. Simple analysis gave them a better understanding of past trends of the Key Important Demographic (KIDs). But that did not tell them who was most likely to want the leftover inventory in the warehouses. To determine that required a three-step process. NPI sent a survey to better understand desires of the KIDs. They combined the responses with the vast amount of previous data – transactions, abandoned carts, etc. Then they applied predictive analysis and machine learning to the enterprise data to determine the probability of specific KIDs wanting current inventory.
NPI determined from a survey sent in week 52 that greater than 90% of the KIDs were happy and joyful with what they had. Not only does Nicholas know who is happy but why they are happy and how NPI can effect real change to keep their happy customer engaging next year as well.
NPI was able to achieve these results through tight integration, application extensions & self-service analytics in the hands of the everyone across the enterprise.To learn more about how other organizations achieved similar results please see how Powell Electronics leverages SAP S/4HANA, SAP Commerce Cloud & SAP Business Technology Platform to execute their digital transformation.
To learn more about the SAP Business Technology Platform please see:SAP BTP for HR, SAP BTP for S/4HANA, SAP BTP for Spend, SAP BTP for SCM
Nicholas analyzing customer experience to optimize year end activities.
NPI brought together all departments to address this mission critical issue. They combined the current wishes, past requests and other items that were considered before their patrons made their final selection. Simple analysis gave them a better understanding of past trends of the Key Important Demographic (KIDs). But that did not tell them who was most likely to want the leftover inventory in the warehouses. To determine that required a three-step process. NPI sent a survey to better understand desires of the KIDs. They combined the responses with the vast amount of previous data – transactions, abandoned carts, etc. Then they applied predictive analysis and machine learning to the enterprise data to determine the probability of specific KIDs wanting current inventory.
NPI determined from a survey sent in week 52 that greater than 90% of the KIDs were happy and joyful with what they had. Not only does Nicholas know who is happy but why they are happy and how NPI can effect real change to keep their happy customer engaging next year as well.
NPI was able to achieve these results through tight integration, application extensions & self-service analytics in the hands of the everyone across the enterprise.To learn more about how other organizations achieved similar results please see how Powell Electronics leverages SAP S/4HANA, SAP Commerce Cloud & SAP Business Technology Platform to execute their digital transformation.
To learn more about the SAP Business Technology Platform please see:SAP BTP for HR, SAP BTP for S/4HANA, SAP BTP for Spend, SAP BTP for SCM
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