促销效果预测器:这个 AI 智能体做什么、怎么用
根据过往促销的实际表现,预测计划中促销活动的提升效果。适合谁使用、能回答哪些问题、需要哪些数据,以及如何启用。
它做什么
Promotion Forecaster(促销效果预测器)智能体是这项工作的专家:根据过往促销的表现,预测计划中促销活动的提升效果。
适合谁使用
您的团队。 它在控制台中供您的员工使用,也可通过 REST API 调用。这是一个团队智能体,绝不会暴露给购物者。
它能回答的问题
您可以用我们支持的任何语言提问,例如:
- “预测一次连衣裙八折促销的效果”
- “一支口红的优惠活动能带来多大提升?”
- “预测一次为期两周的手提包促销”
在线演示会以您的语言展示这些示例提示,基于一家虚构商店的数据。
它如何工作
- 它理解问题——无论问题用什么语言提出,即使您的商品目录是另一种语言。
- 它借助工具查询,绝不凭记忆回答:
- 对您的零售数据执行只读 SQL 查询(按工作区沙箱隔离)
- 它基于您的数据回答,采用您的品牌语气和货币,并显示使用了哪些工具。
- 规则保留在代码中。 价格、资格条件和权限均来自您的数据和设置;智能体负责解释这些规则,但无法凭空编造。为什么这一点很重要。
它需要的数据
促销(Promotions)、订单(Orders)、订单行(Order lines)、商品(Products)。这些表一经加载,智能体即可启用。 文件可以使用您自己的列名:系统会自动映射。请参阅连接您的数据。
与其他智能体配合使用
- Safety Stock Optimiser:根据需求波动性以及设定的交货周期和服务水平,为每个 SKU 建议安全库存。
- Phantom Inventory Detector:标记系统显示有库存却没有销售的商品,便于门店重新盘点。
- Seasonal Build Planner:根据月度销售模式和当前库存,按品类规划季前备货。
- New Store Opening Stock Plan:根据畅销商品和品类结构,为新门店制定开业备货清单。
- Auto-replenishment Engine:根据近期销售速度和库存提出补货订单,供采购人员审批。
您的团队可以在控制台中同时使用这些智能体,也可以通过 API 逐一调用。
启用它
- 加载它所需的数据。
- 从智能体目录安装 Promotion Forecaster,并添加您自己的指令(指南)。
- 在 Playground 中测试,覆盖您服务的每一种语言。
- 邀请您的团队,或从您自己的系统中调用它。
初次接触 ServiceBuddy?从入驻流程概览开始。
试一试,以及相关的 AI Agent Buddies
补货与预测
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