E-commerce Support Ticket Routing

Alexis built an e-commerce customer-support routing workbench using 500 real cases from Hugging Face. In a test on the same 500 tickets, JEV identified customer needs and routed all 500 tickets in about 83 seconds for $0.01.

View on X cost花费0.01美金time用了约 83 秒

方小闲 Alexis@burningalexis𝕏

用 hugging face 上的 500 条真实电商客服数据做了一个电商客服分单工作台让 JEV 和 DeepSeek 处理同样的 500 条测试工单：识别客户诉求，自动分到退款、物流、催发货等不同类别结果是：JEV 用了约 83 秒，完成全部 500 条，花费0.01美金；DeepSeek 在这轮停单收尾后，完成了 173 条，花费了0.06美金左边已经全部归档，右边才处理了三分之一左右，还贵了5倍！从我们实际 FDE工程的视角看 JEV 最牛逼的就是：以前一个具体业务里每天重复几万次的分类、判断、分流，会花费极大量的时间，但现在有了专门干这件事的模型今天是客服分单，接下来可以是销售线索筛选、内容审核、业务路由……想象一下，把这些高频环节一个个接进系统，能释放多少效率？未来已致！AI 将真正完全的进入企业业务流程提高10倍100倍效率！

Sep 19, 2026X postsView on X

The workbench routes tickets into categories such as refunds, logistics, and shipping follow-ups. In the same test, DeepSeek had completed 173 tickets when the run was stopped.

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