当前时间: 2026-04-14 16:03:28
分类:办公文件
评论(0)
AI外呼系统批量导入AI外呼,它做了重复性工作,以此来提高效率和降低公司运营成本。传统AI外呼,有主逻辑和知识库组成,引导客户+回答客户问题,和我们销售第一通打筛选一样,筛选出愿意聊的客户,这都没问题。但是有个问题就是如果没有提前做进去的知识库,那么客户提问了,AI是没办法直接回答这个问题的,是需要过后进行优化添加进去才可以。虽然AI话术里面设置了未识别该如何应对,但对于客户当场的体验感来说,是欠佳的,虽然有时候不影响筛出客户,但对于一些潜在的意向客户可能会流失。大模型AI外呼,相比传统AI来说,它面对没有提前录入的回答,则会调取大模型语义理解来应答客户,立即生成回答。会让客户体验感非常好,比如下面案例:(客户问的好几个问题都是没有提前做进去的,但是也可以应对)由此可见,传统AI外呼和大模型AI外呼,如何选择,相信您心里有数。如果您只是想筛选出意向客户,不注重客户体验感,那么传统的也可满足。如果您不仅要筛选出意向客户,还比较在意客户体验感,也不想错过任何一个潜在的意向客户,那么大模型AI肯定适合您。不论您,怎么选,AI外呼的效率一定也是比人工要高的,成本要低的。不论选哪个,您在使用中也要用心去使用,用心去发现问题,及时优化,这样AI就会越用越智能。
基本
文件
流程
错误
SQL
调试
- 请求信息 : 2026-04-14 18:01:25 HTTP/1.1 GET : https://www.yeyulingfeng.com/a/528135.html
- 运行时间 : 0.149162s [ 吞吐率:6.70req/s ] 内存消耗:4,825.23kb 文件加载:145
- 缓存信息 : 0 reads,0 writes
- 会话信息 : SESSION_ID=e8fb95f755c40398badc4fb2a7dc09fc
- CONNECT:[ UseTime:0.000588s ] mysql:host=127.0.0.1;port=3306;dbname=wenku;charset=utf8mb4
- SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.000711s ]
- SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.007171s ]
- SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.009252s ]
- SHOW FULL COLUMNS FROM `set` [ RunTime:0.000658s ]
- SELECT * FROM `set` [ RunTime:0.001180s ]
- SHOW FULL COLUMNS FROM `article` [ RunTime:0.000606s ]
- SELECT * FROM `article` WHERE `id` = 528135 LIMIT 1 [ RunTime:0.000420s ]
- UPDATE `article` SET `lasttime` = 1776160885 WHERE `id` = 528135 [ RunTime:0.000766s ]
- SELECT * FROM `fenlei` WHERE `id` = 64 LIMIT 1 [ RunTime:0.000279s ]
- SELECT * FROM `article` WHERE `id` < 528135 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.000474s ]
- SELECT * FROM `article` WHERE `id` > 528135 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.005312s ]
- SELECT * FROM `article` WHERE `id` < 528135 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.012589s ]
- SELECT * FROM `article` WHERE `id` < 528135 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.004648s ]
- SELECT * FROM `article` WHERE `id` < 528135 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.012240s ]
0.153191s