A streamlined consumer experience is critical for customer satisfaction, but it’s what happens on the backend that determines your business outcomes. Companies must be mindful of their internal operations and search for ways to support their team, if they want to offer reliable service and stand out in their market. Empowering employees with the right technology is a key piece of that puzzle.
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As AI gains traction, organizations are realizing that only larger-scale, enterprise-wide deployments are likely to provide full access to the operational and economic benefits of these new technologies.
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Demand forecasting is not a new concept in the supply chain. In fact, it’s often referred to as ‘guessing between the goalposts,’ and for the most part, that was right.
Now, using algorithms that not only predict demand to drive forecasts but also incorporate external data sources and continuously learn and optimize the algorithm without intervention we have the ability to significantly reduce the size of those goal posts. Using AI we can improve the accuracy of our forecasts and then allow us to predict where and when those products should be deployed ahead of customer demand. The result? Improved forecasts, reduced freight costs, better customer service levels, and optimized working capital.
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To quickly expose MySQL, DB2, SQL Server, Oracle or SAP datasource as an OData API into Salesforce, you can use out-of-the-box tools such as Anypoint Data Gateway for Lighting Connect. But what if you want to create an OData API for a different datasource or do data aggregation or transformation? Join this webinar to learn how to create and use OData APIs for your organization's needs.
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