2022年3月29日,

Conversight。艾未未的雅典娜智能助理使得用户与人工智能交互容易改善供应链操作,比如监控安全股票、缺货、预测和接收供应商价格提醒,以避免利润损失。2022年3月29日,人工智能(AI)在数据分析中的应用仍然是一个发展的自动化技术领域。在分析人工智能的应用,人工智能技术通常仍然轻松在幕后,遥不可及的用户。因此,AI就像旧的英特尔内部广告成立于1990年代,它的权力系统但你不直接作为用户与之交互。新周围AI技术的进步使这个复杂的计算更容易理解和互动的领域。这种互动的一个例子在Conversight AI可以找到。艾未未的雅典娜智能助理。约旦霍华德,Conversight销售主管。ai,出席世博会东2022。在一个创新阶段在2022年世博会包讨论供应链的应用人工智能,约旦霍华德,Conversight销售主管。ai,解释说,Conversight用户。雅典娜的ai平台可以提问,引导平台创建基于用户报告的问题。 This process of asking questions to an automated system and receiving answers is known as conversational AI . “Users of Conversight.ai’s supply chain optimization software can ask questions such as: What are shipped revenues for this year? What is our revenue by inventory order? or What are our top products by SKU?” said Howard. Questions can be asked via voice or text. The data to provide these answers are pulled from enterprise systems as well as customer-facing online and social systems. Howard said the company has more than 100 built-in drivers to enterprise systems such as SAP and e-commerce systems, as well as Google Analytics and basic data collection software such as Excel. Watch this Take5 with Automation World video to learn more about the AI explosion in industrial automation . Howard said interaction with the system starts with your “need to know” insights provided by Athena that offer a big picture overview of your supply chain operations and where issues might occur. Based on questions users ask of Athena, in addition to the system’s regular reports, Athena then analyzes the trends “so you don’t have to keep asking those questions,” added Howard. According to Conversight.ai, personalized analytics delivered via interaction with the Athena smart assistant—rather than standardized analytics reports—enables the reports to address specific user preferences, parameters, and metrics. It also helps filter out unwanted data for more organized dashboards to focus user attention on what they need and want to see. Conversight.ai’s Athena smart assistant.Workbenches in the Conversight.ai platform address automation of demand planning, supply planning, and production planning. “It also monitors forecasts by actuals to help users see where they need to pivot,” said Howard. “The software also helps assess the business impact of stockouts and learns how to place orders based on lead times to avoid future stockout situations.” Common issues addressed by the Conversight.ai’s platform include: Monitoring safety stocks since, with today’s supply chain disruptions, users can’t “set and forget it anymore,” Howard said; Forecasting stockouts through more accurate demand projections; Automating creation of new reports, dashboards, and purchase orders; Identifying non-moving inventory and segmenting products, vendor, and customer data to better understand supply chain movement; and Receiving alerts for price increases so that manufacturers can add costs to quoted prices before margins are lost. During his presentation, Howard discussed the use of Conversight.ai’s platform by MavPak , a packaging materials and distribution company. “We started working with them in 2018 when they had $3 million in revenues and seven employees, two of which were customer success team members. After setting up the Conversight.ai system to create a self-service environment for employees, automating purchase order generation, and producing business insights, MavPak has experience 7x growth, with hundreds of new customers, and has only needed to add one new customer success team member to handle this growth.