5de3edc9-6d2b-44ce-809f-95284b9a9375
CALL BACK
Time
28/09/2026 11:51:53
Duration
0m 28s
Campaign
-
Conversation ID
conv_3201m3k5nwtpfjxavcp5h3sthsce
Recording
AI Extraction
odo
CHƯA RÕ
loan
CHƯA RÕ
year
2016
status
CALL BACK
summary
Cuộc gọi bắt đầu với việc agent xác nhận tên chị Bùi Thị Tuyết Nhung và hỏi về xe Toyota Fortuner 2016. Khách hàng có vẻ bối rối, hỏi lại agent ở đâu. Agent giới thiệu bên Vu-Ca nhưng cuộc gọi chưa đi đến các bước xác nhận thông tin quan trọng như Zalo, giá, phí dịch vụ. Không có thông tin chi tiết nào được thu thập. Cần gọi lại để tiếp tục.
is_owner
CHƯA RÕ
location
CHƯA RÕ
intention
SLOW
is_silent
-
info_score
-
is_closing
-
car_history
CHƯA RÕ
sale_reason
CHƯA RÕ
zalo_status
FALSE
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
41ms
28/09 11:51
▸ Input
{
"phone": null
}
▸ Output
{
"car_brand": "toyota",
"car_model": "fortuner",
"lead_id": "5de3edc9-6d2b-44ce-809f-95284b9a9375",
"name": "B\u00f9i Th\u1ecb Tuy\u1ebft Nhung ",
"sales": "U0BS25CP161",
"sku": "SKU-F982JB"
}
✓
FILTER_SALES
5ms
28/09 11:51
▸ Input
{
"sales_slack_id": "U0BS25CP161"
}
▸ Output
{
"decision": "CALL"
}
✓
VARS_CACHE
28/09 11:51
{
"built_at": "2026-09-28 04:51:53.457335+00:00",
"car_id": "b74c766f-3ace-43f7-8167-43c0cc007f85",
"source": "cache"
}
✓
PREPARE_CALL
486ms
28/09 11:51
▸ Input
{
"car_brand": "toyota",
"car_model": "fortuner",
"name": "B\u00f9i Th\u1ecb Tuy\u1ebft Nhung ",
"sku": "SKU-F982JB"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1790571107.981099",
"variables": {
"anh_chi": "ch\u1ecb",
"car_make": "toyota fortuner 2016",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:Tr\u00ean 1 th\u00e1ng, l\u00fd do b\u00e1n: Kh\u00f4ng c\u00f2n nhu c\u1ea7u s\u1eed d\u1ee5ng, odo: 300000, gi\u00e1 mong mu\u1ed1n: 300000000, v\u1ecb tr\u00ed: HaNoi",
"user_name": "B\u00f9i Th\u1ecb Tuy\u1ebft Nhung "
}
}
✓
OUTBOUND_CALL
16.2s
28/09 11:52
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0786166187",
"variables": {
"anh_chi": "ch\u1ecb",
"car_make": "toyota fortuner 2016",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:Tr\u00ean 1 th\u00e1ng, l\u00fd do b\u00e1n: Kh\u00f4ng c\u00f2n nhu c\u1ea7u s\u1eed d\u1ee5ng, odo: 300000, gi\u00e1 mong mu\u1ed1n: 300000000, v\u1ecb tr\u00ed: HaNoi",
"user_name": "B\u00f9i Th\u1ecb Tuy\u1ebft Nhung "
}
}
▸ Output
{
"conversation_id": "conv_3201m3k5nwtpfjxavcp5h3sthsce",
"raw": {
"conversation_id": "conv_3201m3k5nwtpfjxavcp5h3sthsce",
"message": "Outbound call initiated",
"sip_call_id": "SCL_9oH6RJsJ9yHi",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
28/09 11:56
▸ Input
{
"conversation_id": "conv_3201m3k5nwtpfjxavcp5h3sthsce"
}
▸ Output
{
"duration_secs": 28,
"status": "done"
}
✓
TRANSCRIPT
28/09 11:56
▸ Input
{
"raw_turns": 7
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i ch\u1ecb B\u00f9i Th\u1ecb Tuy\u1ebft Nhung \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 2016 \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\u00f5 \u1ea1...\nClient: \u1ee6a c\u00e1i g\u00ec v\u1eady? \u00c0, alo.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin l\u1ed7i ch\u1ecb...\nClient: Em \u1edf \u0111\u00e2u?\nAgent: D\u1ea1 em b\u00ean Vu-Ca \u1ea1...",
"length": 419,
"turns": 7
}
✓
AI_EXTRACTION
4.7s
28/09 11:56
▸ Input
{
"model": "deepseek-v4.1-flash: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 ch\u1ecb B\u00f9i Th\u1ecb Tuy\u1ebft Nhung \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 2016 \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\u00f5 \u1ea1...\nClient: \u1ee6a c\u00e1i g\u00ec v\u1eady? \u00c0, alo.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin l\u1ed7i ch\u1ecb...\nClient: Em \u1edf \u0111\u00e2u?\nAgent: D\u1ea1 em b\u00ean Vu-Ca \u1ea1..."
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "CH\u01afA R\u00d5",
"fee_confirmed": "FALSE",
"info_score": 0,
"intention": "SLOW",
"is_closing": false,
"is_owner": "CH\u01afA R\u00d5",
"is_silent": false,
"loan": "CH\u01afA R\u00d5",
"location": "CH\u01afA R\u00d5",
"odo": "CH\u01afA R\u00d5",
"sale_reason": "CH\u01afA R\u00d5",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi b\u1eaft \u0111\u1ea7u v\u1edbi vi\u1ec7c agent x\u00e1c nh\u1eadn t\u00ean ch\u1ecb B\u00f9i Th\u1ecb Tuy\u1ebft Nhung v\u00e0 h\u1ecfi v\u1ec1 xe Toyota Fortuner 2016. Kh\u00e1ch h\u00e0ng c\u00f3 v\u1ebb b\u1ed1i r\u1ed1i, h\u1ecfi l\u1ea1i agent \u1edf \u0111\u00e2u. Agent gi\u1edbi thi\u1ec7u b\u00ean Vu-Ca nh\u01b0ng cu\u1ed9c g\u1ecdi ch\u01b0a \u0111i \u0111\u1ebfn c\u00e1c b\u01b0\u1edbc x\u00e1c nh\u1eadn th\u00f4ng tin quan tr\u1ecdng nh\u01b0 Zalo, gi\u00e1, ph\u00ed d\u1ecbch v\u1ee5. Kh\u00f4ng c\u00f3 th\u00f4ng tin chi ti\u1ebft n\u00e0o \u0111\u01b0\u1ee3c thu th\u1eadp. C\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ti\u1ebfp t\u1ee5c.",
"year": "2016",
"zalo_status": "FALSE"
}
✓
SLACK_POST
717ms
28/09 11:56
▸ Input
{
"sales_slack_id": "U0BS25CP161",
"sku": "SKU-F982JB",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi b\u1eaft \u0111\u1ea7u v\u1edbi vi\u1ec7c agent x\u00e1c nh\u1eadn t\u00ean ch\u1ecb B\u00f9i Th\u1ecb Tuy\u1ebft Nhung v\u00e0 h\u1ecfi v\u1ec1 xe Toyota Fortuner 2016. Kh\u00e1ch h\u00e0ng c\u00f3 v\u1ebb b\u1ed1i r\u1ed1i, h\u1ecfi l\u1ea1i agent \u1edf \u0111\u00e2u. Agent gi\u1edbi thi\u1ec7u b\u00ean Vu-Ca nh\u01b0ng cu\u1ed9c g\u1ecdi ch\u01b0a \u0111i \u0111\u1ebfn c\u00e1c b\u01b0\u1edbc x\u00e1c nh\u1eadn th\u00f4ng tin quan tr\u1ecdng nh\u01b0 Zalo, gi\u00e1, ph\u00ed d\u1ecbch v\u1ee5. Kh\u00f4ng c\u00f3 th\u00f4ng tin chi ti\u1ebft n\u00e0o \u0111\u01b0\u1ee3c thu th\u1eadp. C\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ti\u1ebfp t\u1ee5c."
}
▸ Output
{
"posted": true,
"thread_ts": "1790571107.981099"
}
✓
CRM_APIS
365ms
28/09 11:56
✓
CRM_ACTIVITIES
216ms
28/09 11:56
✓
SLACK_AUDIO
2.2s
28/09 11:56
✓
UPDATE_CLOSING
172ms
28/09 11:56
{
"is_closing": false,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải chị Bùi Thị Tuyết Nhung đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe toyota fortuner 2016 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 rõ ạ... Client: Ủa cái gì vậy? À, alo. Agent: Dạ em nghe rất rõ rồi ạ, em xin lỗi chị... Client: Em ở đâu? Agent: Dạ em bên Vu-Ca ạ...