"Our solution incorporates a feedback loop that allows AI to adjust prices based on additional information. This approach improves the accuracy and efficiency of our price optimization tool, making it a valuable asset for companies looking to improve their profitability," commented Sanguinetti, Solution Architect & Consultant, CSM, CSD, at Pyxis."Built on SAP Build Apps, our solution enables designated roles within the enterprise to provide feedback on pricing changes applied by AI and comments that are incorporated into the model in order to generate greater accuracy and efficiency. This feature facilitates collaboration by notifying users through SAP Build Process Automation and ensures model tuning, resulting in more informed and efficient pricing decisions," he added. For Sanguinetti, using SAP Build Apps allowed them to develop a quick method to interact with AI and provide this new source of human-based reviews. "This increases the appeal of our AI product to existing SAP CX customers, rendering it an even more valuable asset for their e-commerce business needs," he added. "These instances are extremely productive because we continue to incorporate knowledge, learn new things, and implement new tools and functionality, allowing us to improve the value proposition we offer our customers," Sanguinietti concluded. About SAP Co-Innovation Lab
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