c5978174-90a9-43cd-899f-391be88693a5
CALL BACK
Time
11/08/2026 21:46:40
Duration
2m 35s
Campaign
-
Conversation ID
conv_9001kzrmmjg8e9sbe3w0mvbrkqh1
Recording
AI Extraction
odo
CHƯA RÕ
loan
KHÔNG VAY NGÂN HÀNG
year
2017
status
CALL BACK
summary
Cuộc gọi giữa agent AI của Vu-Ca và khách hàng Tumi Tran về việc bán xe Toyota Fortuner 2017. Khách xác nhận là chính chủ, xe không vay ngân hàng, ở TP HCM. Tuy nhiên, khách tỏ ra khó chịu vì agent là AI, yêu cầu người thật liên hệ và kết thúc cuộc gọi. Agent chưa thu thập được thông tin về số km, giá bán, tình trạng xe và chưa thực hiện các bước xác nhận Zalo, phí dịch vụ.
is_owner
CHÍNH CHỦ
location
Thành phố Hồ Chí Minh
intention
SLOW
is_silent
-
info_score
4
is_closing
-
car_history
CHƯA RÕ
sale_reason
CHƯA RÕ
zalo_status
FALSE
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
10ms
11/08 21:46
▸ Input
{
"phone": "0932262299"
}
▸ Output
{
"car_brand": "Toyota",
"car_model": "Fortuner",
"lead_id": "c5978174-90a9-43cd-899f-391be88693a5",
"name": "Tumi Tran",
"sales": "U04QK6ZJTHN",
"sku": "FB-HGE677FN"
}
✓
FILTER_SALES
9ms
11/08 21:46
▸ Input
{
"sales_slack_id": "U04QK6ZJTHN"
}
▸ Output
{
"decision": "CALL"
}
✓
PREPARE_CALL
4.5s
11/08 21:46
▸ Input
{
"car_brand": "Toyota",
"car_model": "Fortuner",
"name": "Tumi Tran",
"sku": "FB-HGE677FN"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1786459482.048709",
"variables": {
"anh_chi": "anh",
"car_make": "Toyota Fortuner 2017",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Tumi Tran"
}
}
✓
OUTBOUND_CALL
14.8s
11/08 21:47
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0932262299",
"variables": {
"anh_chi": "anh",
"car_make": "Toyota Fortuner 2017",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Tumi Tran"
}
}
▸ Output
{
"conversation_id": "conv_9001kzrmmjg8e9sbe3w0mvbrkqh1",
"raw": {
"conversation_id": "conv_9001kzrmmjg8e9sbe3w0mvbrkqh1",
"message": "Outbound call initiated",
"sip_call_id": "SCL_XqGm386W62KY",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
11/08 21:51
▸ Input
{
"conversation_id": "conv_9001kzrmmjg8e9sbe3w0mvbrkqh1"
}
▸ Output
{
"duration_secs": 155,
"status": "done"
}
✓
TRANSCRIPT
11/08 21:51
▸ Input
{
"raw_turns": 29
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh Tumi Tran \u0111ang nghe m\u00e1y kh\u00f4ng \u1ea1? Em l\u00e0 M\u1ef9 Linh b\u00ean Vu-Ca, g\u1ecdi h\u1ed7 tr\u1ee3 m\u00ecnh b\u00e1n xe Toyota Fortuner 2017 \u1ea1. Cu\u1ed9c g\u1ecdi c\u00f3 ghi \u00e2m \u0111\u1ec3 ghi nh\u1eadn th\u00f4ng tin \u1ea1. D\u1ea1 xe n\u00e0y m\u00ecnh mua m\u1edbi ch\u00ednh ch\u1ee7 t\u1eeb \u0111\u1ea7u \u0111\u00fang kh\u00f4ng \u1ea1?\u201d\nClient: Alo.\nAgent: D\u1ea1 em nghe r\u1ea5t ...\nClient: D\u1ea1 r\u1ed3i m\u00e0.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, ...\nClient: \u0110\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: D\u1ea1 em n\u00f3i \u0111i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng...\nClient: \u1edc, kh\u00f4ng.\nAgent: D\u1ea1, v\u1eady l\u00e0 xe m\u00ecnh kh\u00f4ng c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng n\u1eefa \u1ea1. D\u1ea1 cho em x\u00e1c nh\u1eadn l\u1ea1i xe m\u00ecnh l\u00e0 \u0111\u1eddi s\u1ea3n xu\u1ea5t n\u0103m hai kh\u00f4ng m\u01b0\u1eddi b\u1ea3y ph\u1ea3i kh\u00f4ng anh?\nClient: \u00c0, \u0111\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em c\u1ea3m...\nClient: C\u1ea3m \u01a1n anh.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em c\u1ea3m \u01a1n anh. D\u1ea1 em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh,...\nClient: \u1edcm, \u1eddm, ch\u1ee9 t\u1ea1i v\u00ec l\u00e0m sao anh kh\u00f4ng c\u00f3 r\u00e0nh c\u00e1i Google n\u00e0y.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em hi\u1ec3u \u1ea1. D\u1ea1, em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh, kh\u00f4ng bi\u1ebft c\u1ee5 th\u1ec3 m\u00ecnh \u1edf qu\u1eadn n\u00e0o \u1ea1?\nClient: Alo! \u1ee6a, em n\u00f3i m\u00e1y \u00e0?\nAgent: d\u1ea1, em n\u1eafm...\nClient: D\u1ea1, \u1edf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh n\u00e8 \u00f4ng.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! ...\nClient: Em \u1edf H\u00e0 M\u00e3i.\nAgent: D\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em hi\u1ec3u r\u1ed3i \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: Anh h\u1ecfi nh\u00e0 em r\u1ed3i, hay l\u00e0 m\u00e1y, \u1edd, t\u1ef1 \u0111\u1ed9ng v\u1eady?\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1!...\nClient: H\u1ed3i n\u00e3y, \u1edd, em t\u1eadp \u0111i em cho ng\u01b0\u1eddi, \u1edd, ng\u01b0\u1eddi n\u00e0o m\u00e0 gi\u1ed1ng nh\u01b0 chuy\u00ean m\u00f4n qu\u00e1 l\u00e0 li\u00ean h\u1ec7 anh ch\u1ee9, \u1edd, em n\u00f3i lung tung qu\u00e1 anh kh\u00f4ng hi\u1ec3u g\u00ec h\u1ebft.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em xin l\u1ed7i anh \u1ea1. Em l\u00e0 tr\u1ee3 l\u00fd AI c\u1ee7a Vu-Ca, em \u0111ang h\u1ed7 tr\u1ee3 thu th\u1eadp th\u00f4ng tin ban \u0111\u1ea7u v\u1ec1 xe c\u1ee7a m\u00ecnh \u1ea1...\nClient: Alo. \u00c0, \u1edd, \u01a1, ai, ai h\u1ecfi? \u01a0, ai n\u00f3i chuy\u1ec7n, \u01a1, kh\u00f4ng, \u01a1, lung tung, n\u00f3i kh\u00f4ng hi\u1ec3u g\u00ec h\u1ebft. M\u1ec7t AI qu\u00e1, k\u00eau ng\u01b0\u1eddi thi\u1ec7t l\u00e0m vi\u1ec7c nha. Th\u00f4i nha, bye AI nha.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a ...",
"length": 1958,
"turns": 29
}
✓
AI_EXTRACTION
7.2s
11/08 21:51
▸ Input
{
"model": "deepseek-v4-flash:0731-cloud",
"system_prompt": "B\u1ea1n l\u00e0 m\u1ed9t tr\u1ee3 l\u00fd \u1ea3o chuy\u00ean ph\u00e2n t\u00edch h\u1ed9i tho\u1ea1i cu\u1ed9c g\u1ecdi first-call c\u1ee7a Vu-Ca \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng v\u00e0 tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u.\n\nNhi\u1ec7m v\u1ee5: \u0110\u1ecdc transcript v\u00e0 tr\u1ea3 v\u1ec1 JSON theo \u0111\u00fang c\u00e1c ti\u00eau ch\u00ed sau:\n\n1. status: (QUAN TR\u1eccNG - PH\u1ea2I \u0110\u00c1NH GI\u00c1 NGHI\u00caM NG\u1eb6T)\n - \u0027VOICEMAIL\u0027: Cu\u1ed9c g\u1ecdi v\u00e0o tin nh\u1eafn tho\u1ea1i ho\u1eb7c bot t\u1ef1 n\u00f3i m\u1ed9t m\u00ecnh kh\u00f4ng nh\u1eadn \u0111\u01b0\u1ee3c ph\u1ea3n h\u1ed3i.\n - \u0027WRONG NUMBER\u0027: Agent g\u1ecdi nh\u1ea7m ng\u01b0\u1eddi.\n - \u0027REFUSED\u0027: Kh\u00e1ch t\u1eeb ch\u1ed1i b\u00e1n xe, kh\u00f4ng c\u00f2n nhu c\u1ea7u, ho\u1eb7c y\u00eau c\u1ea7u \u0111\u1eebng li\u00ean h\u1ec7 (v\u00ed d\u1ee5: \"kh\u00f4ng b\u00e1n n\u1eefa\", \"\u0111\u1eebng g\u1ecdi\", \"ch\u01b0a c\u00f3 nhu c\u1ea7u\").\n - \u0027SUCCESS\u0027: CH\u1ec8 \u0111\u01b0\u1ee3c d\u00f9ng khi \u0111\u1ea1t \u00edt nh\u1ea5t 2 trong 4 \u0111i\u1ec1u ki\u1ec7n sau V\u00c0 info_score \u2265 7:\n a. Agent \u0111\u00e3 x\u00e1c nh\u1eadn Zalo \u0111\u00fang s\u1ed1 \u0111ang g\u1ecdi (kh\u00e1ch n\u00f3i \"\u0111\u00fang r\u1ed3i\", \"\u0111\u00fang \u1ea1\" ho\u1eb7c \u0111\u01b0a s\u1ed1 Zalo m\u1edbi).\n b. Agent \u0111\u00e3 x\u00e1c nh\u1eadn gi\u00e1 mong mu\u1ed1n + \u0111\u1ecdc l\u1ea1i gi\u00e1 cho kh\u00e1ch x\u00e1c nh\u1eadn (\"D\u1ea1 em xin ph\u00e9p \u0111\u1ecdc l\u1ea1i m\u1ee9c gi\u00e1... \u0111\u00fang kh\u00f4ng \u1ea1?\").\n c. Agent \u0111\u00e3 n\u00f3i r\u00f5 m\u1ee9c ph\u00ed d\u1ecbch v\u1ee5 (v\u00ed d\u1ee5 \"ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 1%\"; m\u1ee9c % c\u00f3 th\u1ec3 kh\u00e1c theo h\u00ecnh th\u1ee9c b\u00e1n \u0111\u00e3 ch\u1ed1t) v\u00e0 \"k\u1ebft n\u1ed1i h\u01a1n 2000 ng\u01b0\u1eddi mua ti\u1ec1m n\u0103ng\".\n d. Agent \u0111\u00e3 n\u00f3i c\u00e2u h\u01b0\u1edbng d\u1eabn cu\u1ed1i b\u1eaft bu\u1ed9c: \"Sau khi k\u1ebft b\u1ea1n Zalo anh/ch\u1ecb g\u1eedi gi\u00fap em b\u1ed9 \u1ea3nh n\u1ed9i ngo\u1ea1i th\u1ea5t xe v\u00e0 gi\u1ea5y \u0111\u0103ng ki\u1ec3m...\".\n e. info_score \u2265 7.\n N\u1ebfu kh\u00f4ng \u0111\u1ea1t \u00edt nh\u1ea5t 2/4 \u0111i\u1ec1u ki\u1ec7n a\u2013d HO\u1eb6C info_score \u003c 7 \u2192 ph\u1ea3i cho CALL BACK.\n - \u0027CALL BACK\u0027:\n \u2022 \u0110\u00fang ng\u01b0\u1eddi nh\u01b0ng ch\u1ec9 \u0111\u1ea1t \u003c 2/4 \u0111i\u1ec1u ki\u1ec7n a\u2013d.\n \u2022 Ho\u1eb7c info_score \u003c 7.\n \u2022 Ho\u1eb7c kh\u00e1ch h\u1eb9n g\u1ecdi l\u1ea1i / c\u1ea7n x\u00e1c nh\u1eadn th\u00eam th\u00f4ng tin.\n\n2. info_score: \u0110\u1ebfm s\u1ed1 m\u1ee5c c\u00f3 th\u00f4ng tin r\u00f5 r\u00e0ng (kh\u00e1c \"CH\u01afA R\u00d5\").\n3. is_owner: \u0027CH\u00cdNH CH\u1ee6\u0027, \u0027KH\u00d4NG CH\u00cdNH CH\u1ee6\u0027, \u0027MUA L\u1ea0I \u0110\u00c3 SANG T\u00caN\u0027, \u0027MUA L\u1ea0I CH\u01afA SANG T\u00caN\u0027, \u0027MUA L\u1ea0I\u0027 ho\u1eb7c \u0027CH\u01afA R\u00d5\u0027.\n4. Year: S\u1ed1 n\u0103m s\u1ea3n xu\u1ea5t (v\u00ed d\u1ee5: 2022). N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n5. loan: \u0027C\u00d2N VAY NG\u00c2N H\u00c0NG\u0027, \u0027KH\u00d4NG VAY NG\u00c2N H\u00c0NG\u0027 ho\u1eb7c \u0027CH\u01afA R\u00d5\u0027.\n6. location: T\u1ec9nh/th\u00e0nh + qu\u1eadn/huy\u1ec7n n\u1ebfu c\u00f3. N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n7. odo: S\u1ed1 km \u0111\u00e3 ch\u1ea1y (v\u00ed d\u1ee5: 32000). N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n8. car_history: T\u00f3m t\u1eaft c\u00e2u tr\u1ea3 l\u1eddi c\u1ee7a kh\u00e1ch v\u1ec1 va ch\u1ea1m/ng\u1eadp n\u01b0\u1edbc, xe c\u00e1 nh\u00e2n hay d\u1ecbch v\u1ee5.\n9. intention: \u0027FAST\u0027 n\u1ebfu mu\u1ed1n b\u00e1n d\u01b0\u1edbi 1 tu\u1ea7n ho\u1eb7c c\u1ea7n g\u1ea5p. Ng\u01b0\u1ee3c l\u1ea1i l\u00e0 \u0027SLOW\u0027.\n10. sale_reason: L\u00fd do b\u00e1n xe. N\u1ebfu kh\u00f4ng c\u00f3 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n11. asking_price: Gi\u00e1 mong mu\u1ed1n (s\u1ed1 \u0111\u1ea7y \u0111\u1ee7, v\u00ed d\u1ee5: 340000000). N\u1ebfu kh\u00f4ng r\u00f5 \u2192 \u0027CH\u01afA R\u00d5\u0027.\n12. fee_confirmed: \u0027TRUE\u0027 n\u1ebfu agent \u0111\u00e3 n\u00f3i r\u00f5 m\u1ee9c ph\u00ed d\u1ecbch v\u1ee5 (ph\u00ed X% \u2014 1%, 1.5%, 2%...) sau khi x\u00e1c nh\u1eadn gi\u00e1. Ng\u01b0\u1ee3c l\u1ea1i \u0027FALSE\u0027.\n13. zalo_status: \u0027TRUE\u0027 n\u1ebfu agent x\u00e1c nh\u1eadn \u0111\u00fang s\u1ed1 Zalo \u0111ang g\u1ecdi. \u0027FALSE\u0027 n\u1ebfu kh\u00e1ch t\u1eeb ch\u1ed1i ho\u1eb7c ch\u01b0a x\u00e1c nh\u1eadn.\n14. summary: T\u00f3m t\u1eaft ng\u1eafn g\u1ecdn cu\u1ed9c g\u1ecdi b\u1eb1ng ti\u1ebfng Vi\u1ec7t (4-5 c\u00e2u).\n\nY\u00caU C\u1ea6U QUAN TR\u1eccNG:\n- Ch\u1ec9 tr\u1ea3 v\u1ec1 JSON duy nh\u1ea5t, kh\u00f4ng gi\u1ea3i th\u00edch.\n- Kh\u00f4ng d\u00f9ng gi\u00e1 tr\u1ecb N/A.\n- \u0110\u00e1nh gi\u00e1 status ph\u1ea3i d\u1ef1a tr\u00ean h\u00e0nh vi th\u1ef1c t\u1ebf c\u1ee7a agent theo k\u1ecbch b\u1ea3n first-call (x\u00e1c nh\u1eadn Zalo, \u0111\u1ecdc l\u1ea1i gi\u00e1, n\u00f3i m\u1ee9c ph\u00ed d\u1ecbch v\u1ee5, \u0111\u01b0a c\u00e2u h\u01b0\u1edbng d\u1eabn cu\u1ed1i).\n- N\u1ebfu transcript cho th\u1ea5y agent ch\u01b0a ho\u00e0n th\u00e0nh c\u00e1c b\u01b0\u1edbc closing quan tr\u1ecdng th\u00ec \u01b0u ti\u00ean CALL BACK thay v\u00ec SUCCESS.\nReturn ONLY a valid JSON object.",
"transcript": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh Tumi Tran \u0111ang nghe m\u00e1y kh\u00f4ng \u1ea1? Em l\u00e0 M\u1ef9 Linh b\u00ean Vu-Ca, g\u1ecdi h\u1ed7 tr\u1ee3 m\u00ecnh b\u00e1n xe Toyota Fortuner 2017 \u1ea1. Cu\u1ed9c g\u1ecdi c\u00f3 ghi \u00e2m \u0111\u1ec3 ghi nh\u1eadn th\u00f4ng tin \u1ea1. D\u1ea1 xe n\u00e0y m\u00ecnh mua m\u1edbi ch\u00ednh ch\u1ee7 t\u1eeb \u0111\u1ea7u \u0111\u00fang kh\u00f4ng \u1ea1?\u201d\nClient: Alo.\nAgent: D\u1ea1 em nghe r\u1ea5t ...\nClient: D\u1ea1 r\u1ed3i m\u00e0.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, ...\nClient: \u0110\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: D\u1ea1 em n\u00f3i \u0111i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng...\nClient: \u1edc, kh\u00f4ng.\nAgent: D\u1ea1, v\u1eady l\u00e0 xe m\u00ecnh kh\u00f4ng c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng n\u1eefa \u1ea1. D\u1ea1 cho em x\u00e1c nh\u1eadn l\u1ea1i xe m\u00ecnh l\u00e0 \u0111\u1eddi s\u1ea3n xu\u1ea5t n\u0103m hai kh\u00f4ng m\u01b0\u1eddi b\u1ea3y ph\u1ea3i kh\u00f4ng anh?\nClient: \u00c0, \u0111\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em c\u1ea3m...\nClient: C\u1ea3m \u01a1n anh.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em c\u1ea3m \u01a1n anh. D\u1ea1 em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh,...\nClient: \u1edcm, \u1eddm, ch\u1ee9 t\u1ea1i v\u00ec l\u00e0m sao anh kh\u00f4ng c\u00f3 r\u00e0nh c\u00e1i Google n\u00e0y.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em hi\u1ec3u \u1ea1. D\u1ea1, em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh, kh\u00f4ng bi\u1ebft c\u1ee5 th\u1ec3 m\u00ecnh \u1edf qu\u1eadn n\u00e0o \u1ea1?\nClient: Alo! \u1ee6a, em n\u00f3i m\u00e1y \u00e0?\nAgent: d\u1ea1, em n\u1eafm...\nClient: D\u1ea1, \u1edf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh n\u00e8 \u00f4ng.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! ...\nClient: Em \u1edf H\u00e0 M\u00e3i.\nAgent: D\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em hi\u1ec3u r\u1ed3i \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: Anh h\u1ecfi nh\u00e0 em r\u1ed3i, hay l\u00e0 m\u00e1y, \u1edd, t\u1ef1 \u0111\u1ed9ng v\u1eady?\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1!...\nClient: H\u1ed3i n\u00e3y, \u1edd, em t\u1eadp \u0111i em cho ng\u01b0\u1eddi, \u1edd, ng\u01b0\u1eddi n\u00e0o m\u00e0 gi\u1ed1ng nh\u01b0 chuy\u00ean m\u00f4n qu\u00e1 l\u00e0 li\u00ean h\u1ec7 anh ch\u1ee9, \u1edd, em n\u00f3i lung tung qu\u00e1 anh kh\u00f4ng hi\u1ec3u g\u00ec h\u1ebft.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em xin l\u1ed7i anh \u1ea1. Em l\u00e0 tr\u1ee3 l\u00fd AI c\u1ee7a Vu-Ca, em \u0111ang h\u1ed7 tr\u1ee3 thu th\u1eadp th\u00f4ng tin ban \u0111\u1ea7u v\u1ec1 xe c\u1ee7a m\u00ecnh \u1ea1...\nClient: Alo. \u00c0, \u1edd, \u01a1, ai, ai h\u1ecfi? \u01a0, ai n\u00f3i chuy\u1ec7n, \u01a1, kh\u00f4ng, \u01a1, lung tung, n\u00f3i kh\u00f4ng hi\u1ec3u g\u00ec h\u1ebft. M\u1ec7t AI qu\u00e1, k\u00eau ng\u01b0\u1eddi thi\u1ec7t l\u00e0m vi\u1ec7c nha. Th\u00f4i nha, bye AI nha.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a ..."
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "CH\u01afA R\u00d5",
"fee_confirmed": "FALSE",
"info_score": 4,
"intention": "SLOW",
"is_closing": false,
"is_owner": "CH\u00cdNH CH\u1ee6",
"is_silent": false,
"loan": "KH\u00d4NG VAY NG\u00c2N H\u00c0NG",
"location": "Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh",
"odo": "CH\u01afA R\u00d5",
"sale_reason": "CH\u01afA R\u00d5",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi gi\u1eefa agent AI c\u1ee7a Vu-Ca v\u00e0 kh\u00e1ch h\u00e0ng Tumi Tran v\u1ec1 vi\u1ec7c b\u00e1n xe Toyota Fortuner 2017. Kh\u00e1ch x\u00e1c nh\u1eadn l\u00e0 ch\u00ednh ch\u1ee7, xe kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u1edf TP HCM. Tuy nhi\u00ean, kh\u00e1ch t\u1ecf ra kh\u00f3 ch\u1ecbu v\u00ec agent l\u00e0 AI, y\u00eau c\u1ea7u ng\u01b0\u1eddi th\u1eadt li\u00ean h\u1ec7 v\u00e0 k\u1ebft th\u00fac cu\u1ed9c g\u1ecdi. Agent ch\u01b0a thu th\u1eadp \u0111\u01b0\u1ee3c th\u00f4ng tin v\u1ec1 s\u1ed1 km, gi\u00e1 b\u00e1n, t\u00ecnh tr\u1ea1ng xe v\u00e0 ch\u01b0a th\u1ef1c hi\u1ec7n c\u00e1c b\u01b0\u1edbc x\u00e1c nh\u1eadn Zalo, ph\u00ed d\u1ecbch v\u1ee5.",
"year": "2017",
"zalo_status": "FALSE"
}
✓
SLACK_POST
780ms
11/08 21:51
▸ Input
{
"sales_slack_id": "U04QK6ZJTHN",
"sku": "FB-HGE677FN",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi gi\u1eefa agent AI c\u1ee7a Vu-Ca v\u00e0 kh\u00e1ch h\u00e0ng Tumi Tran v\u1ec1 vi\u1ec7c b\u00e1n xe Toyota Fortuner 2017. Kh\u00e1ch x\u00e1c nh\u1eadn l\u00e0 ch\u00ednh ch\u1ee7, xe kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u1edf TP HCM. Tuy nhi\u00ean, kh\u00e1ch t\u1ecf ra kh\u00f3 ch\u1ecbu v\u00ec agent l\u00e0 AI, y\u00eau c\u1ea7u ng\u01b0\u1eddi th\u1eadt li\u00ean h\u1ec7 v\u00e0 k\u1ebft th\u00fac cu\u1ed9c g\u1ecdi. Agent ch\u01b0a thu th\u1eadp \u0111\u01b0\u1ee3c th\u00f4ng tin v\u1ec1 s\u1ed1 km, gi\u00e1 b\u00e1n, t\u00ecnh tr\u1ea1ng xe v\u00e0 ch\u01b0a th\u1ef1c hi\u1ec7n c\u00e1c b\u01b0\u1edbc x\u00e1c nh\u1eadn Zalo, ph\u00ed d\u1ecbch v\u1ee5."
}
▸ Output
{
"posted": true,
"thread_ts": "1786459482.048709"
}
✓
CRM_APIS
368ms
11/08 21:51
✓
CRM_ACTIVITIES
134ms
11/08 21:51
✓
SLACK_AUDIO
4.4s
11/08 21:51
✓
UPDATE_CLOSING
148ms
11/08 21:51
{
"is_closing": false,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh Tumi Tran đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe Toyota Fortuner 2017 ạ. Cuộc gọi có ghi âm để ghi nhận thông tin ạ. Dạ xe này mình mua mới chính chủ từ đầu đúng không ạ?” Client: Alo. Agent: Dạ em nghe rất ... Client: Dạ rồi mà. Agent: Dạ em nghe rất rõ rồi ạ, ... Client: Đúng rồi. Agent: dạ, em nắm thông tin của mình ạ! Dạ xe mình hiện có còn vay góp ngân hàng không ạ? Client: Dạ em nói đi. Agent: dạ, em nắm thông... Client: Ờ, không. Agent: Dạ, vậy là xe mình không còn vay góp ngân hàng nữa ạ. Dạ cho em xác nhận lại xe mình là đời sản xuất năm hai không mười bảy phải không anh? Client: À, đúng rồi. Agent: dạ, em nắm thông tin của mình ạ! Dạ, em cảm... Client: Cảm ơn anh. Agent: dạ, em nắm thông tin của mình ạ! Dạ, em cảm ơn anh. Dạ em thấy địa chỉ của anh ở Thành phố Hồ Chí Minh,... Client: Ờm, ờm, chứ tại vì làm sao anh không có rành cái Google này. Agent: dạ, em nắm thông tin của mình ạ! Dạ, em hiểu ạ. Dạ, em thấy địa chỉ của anh ở Thành phố Hồ Chí Minh, không biết cụ thể mình ở quận nào ạ? Client: Alo! Ủa, em nói máy à? Agent: dạ, em nắm... Client: Dạ, ở Thành phố Hồ Chí Minh nè ông. Agent: dạ, em nắm thông tin của mình ạ! ... Client: Em ở Hà Mãi. Agent: Dạ, em nắm thông tin của mình ạ! Dạ, em hiểu rồi ạ. Dạ xe mình hiện đã chạy khoảng bao nhiêu kilomet rồi ạ? Client: Anh hỏi nhà em rồi, hay là máy, ờ, tự động vậy? Agent: dạ, em nắm thông tin của mình ạ!... Client: Hồi nãy, ờ, em tập đi em cho người, ờ, người nào mà giống như chuyên môn quá là liên hệ anh chứ, ờ, em nói lung tung quá anh không hiểu gì hết. Agent: dạ, em nắm thông tin của mình ạ! Dạ, em xin lỗi anh ạ. Em là trợ lý AI của Vu-Ca, em đang hỗ trợ thu thập thông tin ban đầu về xe của mình ạ... Client: Alo. À, ờ, ơ, ai, ai hỏi? Ơ, ai nói chuyện, ơ, không, ơ, lung tung, nói không hiểu gì hết. Mệt AI quá, kêu người thiệt làm việc nha. Thôi nha, bye AI nha. Agent: dạ, em nắm thông tin của ...