Sales Order产品提议流程解析

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"如何在销售订单中获取推荐产品" 在销售过程中，有效地提出产品建议是提高销售效率和客户满意度的关键步骤。本资源主要介绍了在特定系统（HN1/Q2U）中，使用SALESPRO角色如何操作以获取销售订单中的推荐产品。以下是详细的过程和相关知识点： 首先，登录HN1/Q2U系统并使用SALESPRO角色。这个角色通常是为销售人员设计的，具有创建、修改和管理销售订单等权限。 接下来，进入“销售周期”模块，然后选择“销售订单搜索”。在这个阶段，用户可以查找和选择需要处理的销售订单。 在找到特定的销售订单后，点击“编辑列表”选项，选择物品AB。这允许用户查看和编辑订单中的商品详情。 在“更多”菜单中，选择“从列表中提议物品”功能。这一功能通常基于预设的策略或客户历史购买记录来推荐相关产品。具体步骤可以在CRM_PT_SALES_Product_Proposal.xls文件中找到详细指南。 点击“从列表中提议物品”后，系统将生成一个包含推荐产品的列表表单。这些推荐可能是基于产品关联性、客户偏好、库存状况、促销活动等多种因素综合得出的。 问题：如何在销售订单中获取产品？是使用产品搜索组件还是系统自有的方法？ 结论： 在添加到列表时，不仅包括产品ID，还包括单位、货币、净价值等信息。获取Items AB中的产品推荐分为三个步骤： 1. 通过额外的功能模块获取产品列表，而不是使用产品搜索组件。这一步骤仅获取产品ID列表。 2. 基于步骤1的产品ID列表，利用产品搜索组件获取产品属性。 3. 根据带有属性的产品获取价格信息。 因此，在销售订单中，系统通过自己的功能模块获取产品ID列表。产品搜索组件被用来获取结果产品的属性，这些属性将用于确定产品价格。 解释： （1）使用事务码St05可以追踪点击“从列表中提议物品”时执行的SQL语句，这有助于理解系统是如何根据特定条件查询和筛选出推荐产品的。 以上就是如何在销售订单中获取推荐产品的方法以及背后的逻辑流程。理解这个过程对于优化销售流程、提升销售业绩以及改善客户体验具有重要意义。

How_to_propose_your_issue_to_Faraday

2014-08-27 上传
在信息技术领域，Faraday是一个被广泛使用的术语，可能代表不同的软件或者项目。但是根据给定的文件内容，我们可以推断出Faraday应该是一个提供技术支持服务的平台。在现代信息技术工作中，上报和管理问题是一个重要...

How to build AutoML from scratch – Alexander Mamaev – Medium.pdf

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如何从头开始构建autoML，Bridging WebML to model-driven engineering: From document type definitions to meta object facility，Meta-models are a prerequisite for model-driven engineering (MDE) in general...

Mobility in IPv6: Whether and How to Hierarchize the Network?

2021-02-21 上传
Mobile IPv6 (MIPv6) offers a basic solution to support mobility in IPv6 networks. Although Hierarchical MIPv6 (HMIPv6) has been designed to ... In this paper, we propose a model to analyze the applicatio

Cloud-based Machine Learning Model Management: How to Efficiently Supervise Your AI Assets

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# 1. Overview of Cloud-based Machine Learning Model Management ## 1.1 The Rise of Cloud-based Machine Learning Model Management With the rapid development and widespread adoption of cloud computing ...

It is said that in ancient Indian holy temples, there was a game called Hanoi. The game is on a copper plate device with three rods (numbered a, B and C). there are many plates are placed in order from bottom to top and from large to small in rod A. The goal of the game: move all the gold plates on pole A to pole C, and keep the original order. Operating rules: only one plate can be moved at a time, and the large plate is always kept under the three rods and the small plate is on the top. During the operation, the plate can be placed on any rod A, B and C. Solve the above problems with programs, try to propose an optimized algorithm.

2023-06-02 上传
The function first determines the order in which to move the plates based on the parity of `n` and the index of the plate. Then, the function uses a loop to move each plate in the correct order. ...

The major contributions of this paper are summarized as follows: . We investigate a new automotive architecture and implementation method. We propose an extended SAE (Society of Automotive Engineer) Benchmark and the use of DDS middleware as an alternative for the existing architecture. . We detail the implementation of the electronic stability unit based on the extended SAE benchmark. . We propose a new design of the DDS based on the MBD approach. Thus, the implementation of the application and the new DDS block are realized under SIMULINK. We intend to improve DDS's programming approach, facilitate con¯guring and generation of DDS description and take into account the real-time network drivers. . In order to validate our DDS implementation and highlight its contributions in the context of hard real-time automotive systems, we detail latency computation for automotive networks, and we present the implemented algorithm to calculate the Worst Case Response Time (WCRT). We prove that DDS qualities of service on the top of the SAE vehicle application are respected. We also give a comparison of system performance using real time networks FlexRay and Ethernet.

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本文的主要贡献总结如下： 1. 我们研究了一种新的汽车架构和实现方法。我们提出了扩展的SAE（汽车工程师协会）基准以及将DDS中间件作为现有架构的替代方案。 2. 我们详细介绍了基于扩展SAE基准的电子稳定单元的实现...

The human visual cortex is biased towards shape components while CNNs produce texture biased features. This fact may explain why the performance of CNN significantly degrades with low-labeled input data scenarios. In this paper, we propose a frequency re-calibration U-Net (FRCU-Net) for medical image segmentation. Representing an object in terms of frequency may reduce the effect of texture bias, resulting in better generalization for a low data regime. To do so, we apply the Laplacian pyramid in the bottleneck layer of the U-shaped structure. The Laplacian pyramid represents the object proposal in different frequency domains, where the high frequencies are responsible for the texture information and lower frequencies might be related to the shape. Adaptively re-calibrating these frequency representations can produce a more discriminative representation for describing the object of interest. To this end, we first propose to use a channel-wise attention mechanism to capture the relationship between the channels of a set of feature maps in one layer of the frequency pyramid. Second, the extracted features of each level of the pyramid are then combined through a non-linear function based on their impact on the final segmentation output. The proposed FRCU-Net is evaluated on five datasets ISIC 2017, ISIC 2018, the PH2, lung segmentation, and SegPC 2021 challenge datasets and compared to existing alternatives, achieving state-of-the-art results.请详细介绍这段话中的技术点和实现方式

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该网络结构的核心思想是将物体表示为频率，在低数据情况下降低纹理偏差的影响，从而获得更好的泛化性能。具体实现方式包括以下技术点： 1. 使用Laplacian金字塔将物体表示在不同的频率域中，其中高频率负责纹理信息...

 We propose a bi-level bargaining framework for distributed user association and resource allocation. In the followerlevel game, UE competition occurs in a non-cooperative manner. In contrast, full coordination is assumed among the BSs in the leader-level game. Congestion factors are introduced to balance the loads on small BSs with different capacities  We consider two fundamental limitations of HetNets: the backhaul bottleneck and UE capability constraints. Accordingly, constraints are introduced on the wireless resources and maximum number of serving UEs in small BSs to reflect the backhaul bottleneck, and minimum rate requirements for UE devices are introduced to represent the UE capability constraints.  Potential game theory is used to decouple the backhaul bottleneck constraints. The existence, uniqueness and convergence of the Nash equilibrium (NE) of the follower-level game are also verified. Finally, the resident-oriented GS algorithm is used to obtain a stable single-BS association.翻译

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我们提出了一个分布式用户关联和资源分配的双层谈判框架。在追随者层次博弈中，UE设备之间以非合作的方式进行竞争。相反，在领导者层次博弈中，假设基站之间完全协调。为了平衡不同容量的小型基站的负载，引入了拥塞...

Please polish the following paragraphs into academic language:Improving the high-temperature mechanical properties of low-activation steels is a frontier topic in nuclear fusion reactor cladding materials. The preparation of ODS low-activation steel by powder metallurgy method is not only complicated, but also has poor processing performance, which makes it difficult to be used in large scale. The high-temperature creep properties and irradiation resistance of CNAs low-activation steels reinforced with nano-MX phase do not reach the level of ODS low-activation steels. It is difficult to effectively control the thermodynamics and kinetics of oxide formation in ODS low-activation steels prepared by melt-casting process, and their tissue uniformity and mechanical properties need to be improved. We propose a new idea of additive manufacturing ODS low-activation steel, using the oxygen atmosphere in the printing process to control the thermodynamic and kinetic processes of oxide formation, so that the active element Ti is oxidized in situ in the matrix to form diffuse titanium oxide with a size of about 10-30 nm, which greatly improves the high-temperature mechanical properties of additive manufacturing low-activation steel, and the 600°C tensile strength is increased from 470 MPa to 660 MPa, which provides a new idea for the integrated preparation of complex components of ODS low-activation steel.

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提高低活化钢的高温力学性能是核聚变反应堆包壳材料的前沿课题。通过粉末冶金法制备ODS低活化钢不仅复杂，加工性能也较差，难以大规模应用。...在熔炼铸造工艺中，难以有效控制ODS低活化钢氧化物形成的热力学和动力学...

Recall that to solve (P2) in the tth time frame, we observe ξt 􏰗 {hti, Qi(t), Yi(t)}Ni=1, consisting of the channel gains {hti}Ni=1 and the system queue states {Qi(t),Yi(t)}Ni=1, and accordingly decide the control action {xt, yt}, including the binary offloading decision xt and the continuous resource allocation yt 􏰗 􏰄τit, fit, eti,O, rit,O􏰅Ni=1. A close observation shows that although (P2) is a non-convex optimization problem, the resource allocation problem to optimize yt is in fact an “easy” convex problem if xt is fixed. In Section IV.B, we will propose a customized algorithm to efficiently obtain the optimal yt given xt in (P2). Here, we denote G􏰀xt,ξt􏰁 as the optimal value of (P2) by optimizing yt given the offloading decision xt and parameter ξt. Therefore, solving (P2) is equivalent to finding the optimal offloading decision (xt)∗, where (P3) : 􏰀xt􏰁∗ = arg maximize G 􏰀xt, ξt􏰁 . (20) xt ∈{0,1}N In general, obtaining (xt)∗ requires enumerating 2N offloading decisions, which leads to significantly high computational complexity even when N is moderate (e.g., N = 10). Other search based methods, such as branch-and-bound and block coordinate descent [29], are also time-consuming when N is large. In practice, neither method is applicable to online decision- making under fast-varying channel condition. Leveraging the DRL technique, we propose a LyDROO algorithm to construct a policy π that maps from the input ξt to the optimal action (xt)∗, i.e., π : ξt 􏰕→ (xt)∗, with very low complexity, e.g., tens of milliseconds computation time (i.e., the time duration from observing ξt to producing a control action {xt, yt}) when N = 10深度强化学习的动作是什么

2023-06-03 上传
在这个问题中，深度强化学习的动作是指在给定观测值（如题目中的 ξt）的情况下，通过一个策略函数（如题目中提到的 π）来映射到最优的控制动作（如题目中的 (xt)∗）。也就是说，深度强化学习的动作是指根据当前的...
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