dd73f5c9-48ce-4957-8a1e-103269f76791
CALL BACK
Time
31/07/2026 14:06:21
Duration
2m 42s
Campaign
-
Conversation ID
conv_6501kyvg067qfyn9z8drfrmw0hpr
Recording
AI Extraction
odo
10000
loan
KHÔNG VAY NGÂN HÀNG
year
2020
status
CALL BACK
summary
Cuộc gọi với anh Nam, chủ xe Nissan Terra 2020. Xe chính chủ, không vay ngân hàng, đã chạy 10.000 km, không va chạm hay ngập nước. Anh Nam ở quận Thanh Xuân, Hà Nội, muốn bán xe với giá 350 triệu nhưng chưa rõ lý do bán. Agent chưa xác nhận Zalo, chưa nói phí dịch vụ và chưa đưa hướng dẫn cuối, nên cần gọi lại.
is_owner
CHÍNH CHỦ
location
Hà Nội, quận Thanh Xuân
intention
SLOW
is_silent
-
info_score
7
is_closing
True
car_history
Không va chạm nặng, không ngập nước
sale_reason
CHƯA RÕ
zalo_status
FALSE
asking_price
350000000
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
22ms
31/07 14:06
▸ Input
{
"phone": "0986096888"
}
▸ Output
{
"car_brand": "Nissan",
"car_model": "Terra",
"lead_id": "dd73f5c9-48ce-4957-8a1e-103269f76791",
"name": "Nam TK",
"sales": "U0APZ6SB16K",
"sku": "FB-3HW5WEAA"
}
✓
PREPARE_CALL
1m 23s
31/07 14:07
▸ Input
{
"car_brand": "Nissan",
"car_model": "Terra",
"name": "Nam TK",
"sku": "FB-3HW5WEAA"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1785481496.515559",
"variables": {
"anh_chi": "anh",
"car_make": "Nissan Terra 2020",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Nam TK"
}
}
✓
OUTBOUND_CALL
25.5s
31/07 14:08
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0986096888",
"variables": {
"anh_chi": "anh",
"car_make": "Nissan Terra 2020",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Nam TK"
}
}
▸ Output
{
"conversation_id": "conv_6501kyvg067qfyn9z8drfrmw0hpr",
"raw": {
"conversation_id": "conv_6501kyvg067qfyn9z8drfrmw0hpr",
"message": "Outbound call initiated",
"sip_call_id": "SCL_nR8Wefok8oFs",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
31/07 14:12
▸ Input
{
"conversation_id": "conv_6501kyvg067qfyn9z8drfrmw0hpr"
}
▸ Output
{
"duration_secs": 162,
"status": "done"
}
✓
TRANSCRIPT
31/07 14:12
▸ Input
{
"raw_turns": 38
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh Nam TK \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 Nissan Terra 2020 \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 n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin...\nClient: \u0110\u00fang r\u1ed3i em \u01a1i.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: C\u00f2n c\u00f2n.\nAgent: D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng \u1ea1. V\u1eady kh\u00f4ng bi\u1ebft m\u00ecnh c\u00f2n vay kho\u1ea3ng bao nhi\u00eau n\u1eefa \u1ea1?\nClient: Kh\u00f4ng vay, kh\u00f4ng vay.\nAgent: D\u1ea1 v\u1eady l\u00e0 xe m\u00ecnh kh\u00f4ng c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng n\u1eefa \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i \u1ea1.\nAgent: D\u1ea1 em ghi nh\u1eadn \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 hai m\u01b0\u01a1i ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i anh.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c n\u00e0o \u1ea1?\nClient: \u1edc, H\u00e0 N\u1ed9i em.\nAgent: D\u1ea1 em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf H\u00e0 N\u1ed9i, kh\u00f4ng bi\u1ebft c\u1ee5 th\u1ec3 m\u00ecnh \u1edf qu\u1eadn n\u00e0o \u1ea1?\nClient: Qu\u1eadn 7.\nAgent: D\u1ea1 em xin l\u1ed7i anh, h\u00ecnh nh\u01b0 em nghe ch\u01b0a r\u00f5. Anh c\u00f3 th\u1ec3 nh\u1eafc l\u1ea1i gi\u00fap em t\u00ean qu\u1eadn...\nClient: Kh\u00e1nh Xu\u00e2n, H\u00e0 N\u1ed9i.\nAgent: ...\nClient: Minh Xu\u00e2n, Minh Xu\u00e2n.\nAgent: D\u1ea1 em xin l\u1ed7i anh, em v\u1eabn ch\u01b0a nghe r\u00f5 t\u00ean qu\u1eadn \u1ea1. Anh c\u00f3 th\u1ec3 \u0111\u00e1nh v\u1ea7n gi\u00fap em \u0111\u01b0\u1ee3c kh\u00f4ng \u1ea1?\nClient: Qu\u1eadn, qu\u1eadn, qu\u1eadn Thanh Xu\u00e2n em \u01a1i.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 qu\u1eadn Thanh Xu\u00e2n \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau...\nClient: M\u1ed9t gi\u1edd r\u01b0\u1ee1i.\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i t\u00edn ...\nClient: 10.000.\nAgent: D\u1ea1 em ghi nh\u1eadn xe m\u00ecnh \u0111\u00e3 ch\u1ea1y kho\u1ea3ng m\u01b0\u1eddi ngh\u00ecn ki l\u00f4 m\u00e9t \u1ea1. D\u1ea1 kh\u00f4ng bi\u1ebft xe m\u00ecnh c\u00f3 t\u1eebng va ch\u1ea1m n\u1eb7ng hay b\u1ecb ng\u1eadp n\u01b0\u1edbc g\u00ec kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng c\u00f3 \u1ea1.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. ...\nClient: Kh\u00f4ng.\nAgent: D\u1ea1 anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: L\u00fd do g\u00ec \u0111\u00e2u? L\u00fd dooo, l\u00fd do l\u00e0 b\u00e1n th\u00f4i.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 m\u00ecnh b\u00e1n xe th\u00f4i \u1ea1. D\u1ea1 hi\u1ec7n t\u1ea1i anh c\u00f3 k\u1ebf ho\u1ea1ch b\u00e1n xe n\u00e0y trong bao l\u00e2u \u1ea1? T\u1ea7m m\u1ed9t tu\u1ea7n hay h\u01a1n \u1ea1?\nClient: H\u01a1m. 350.\nAgent: D\u1ea1 em xin ph\u00e9p \u0111\u1ecdc l\u1ea1i m\u1ee9c gi\u00e1 mong mu\u1ed1n c\u1ee7a m\u00ecnh nh\u00e9, c\u00f3 th\u1ec3 em nghe sai n\u00ean c\u00f3 g\u00ec m\u00ecnh ch\u1ec9nh gi\u00fap em nha. D\u1ea1 ba tr\u0103m n\u0103m m\u01b0\u01a1i tri\u1ec7u \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: D\u1ea1 ch\u01b0a \u1ea1.",
"length": 2069,
"turns": 36
}
✓
AI_EXTRACTION
1m 8s
31/07 14:13
▸ Input
{
"model": "DeepSeek-V4-Flash",
"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 Nam TK \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 Nissan Terra 2020 \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 n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin...\nClient: \u0110\u00fang r\u1ed3i em \u01a1i.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: C\u00f2n c\u00f2n.\nAgent: D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng \u1ea1. V\u1eady kh\u00f4ng bi\u1ebft m\u00ecnh c\u00f2n vay kho\u1ea3ng bao nhi\u00eau n\u1eefa \u1ea1?\nClient: Kh\u00f4ng vay, kh\u00f4ng vay.\nAgent: D\u1ea1 v\u1eady l\u00e0 xe m\u00ecnh kh\u00f4ng c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng n\u1eefa \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i \u1ea1.\nAgent: D\u1ea1 em ghi nh\u1eadn \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 hai m\u01b0\u01a1i ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i anh.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c n\u00e0o \u1ea1?\nClient: \u1edc, H\u00e0 N\u1ed9i em.\nAgent: D\u1ea1 em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf H\u00e0 N\u1ed9i, kh\u00f4ng bi\u1ebft c\u1ee5 th\u1ec3 m\u00ecnh \u1edf qu\u1eadn n\u00e0o \u1ea1?\nClient: Qu\u1eadn 7.\nAgent: D\u1ea1 em xin l\u1ed7i anh, h\u00ecnh nh\u01b0 em nghe ch\u01b0a r\u00f5. Anh c\u00f3 th\u1ec3 nh\u1eafc l\u1ea1i gi\u00fap em t\u00ean qu\u1eadn...\nClient: Kh\u00e1nh Xu\u00e2n, H\u00e0 N\u1ed9i.\nAgent: ...\nClient: Minh Xu\u00e2n, Minh Xu\u00e2n.\nAgent: D\u1ea1 em xin l\u1ed7i anh, em v\u1eabn ch\u01b0a nghe r\u00f5 t\u00ean qu\u1eadn \u1ea1. Anh c\u00f3 th\u1ec3 \u0111\u00e1nh v\u1ea7n gi\u00fap em \u0111\u01b0\u1ee3c kh\u00f4ng \u1ea1?\nClient: Qu\u1eadn, qu\u1eadn, qu\u1eadn Thanh Xu\u00e2n em \u01a1i.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 qu\u1eadn Thanh Xu\u00e2n \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau...\nClient: M\u1ed9t gi\u1edd r\u01b0\u1ee1i.\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i t\u00edn ...\nClient: 10.000.\nAgent: D\u1ea1 em ghi nh\u1eadn xe m\u00ecnh \u0111\u00e3 ch\u1ea1y kho\u1ea3ng m\u01b0\u1eddi ngh\u00ecn ki l\u00f4 m\u00e9t \u1ea1. D\u1ea1 kh\u00f4ng bi\u1ebft xe m\u00ecnh c\u00f3 t\u1eebng va ch\u1ea1m n\u1eb7ng hay b\u1ecb ng\u1eadp n\u01b0\u1edbc g\u00ec kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng c\u00f3 \u1ea1.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. ...\nClient: Kh\u00f4ng.\nAgent: D\u1ea1 anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: L\u00fd do g\u00ec \u0111\u00e2u? L\u00fd dooo, l\u00fd do l\u00e0 b\u00e1n th\u00f4i.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 m\u00ecnh b\u00e1n xe th\u00f4i \u1ea1. D\u1ea1 hi\u1ec7n t\u1ea1i anh c\u00f3 k\u1ebf ho\u1ea1ch b\u00e1n xe n\u00e0y trong bao l\u00e2u \u1ea1? T\u1ea7m m\u1ed9t tu\u1ea7n hay h\u01a1n \u1ea1?\nClient: H\u01a1m. 350.\nAgent: D\u1ea1 em xin ph\u00e9p \u0111\u1ecdc l\u1ea1i m\u1ee9c gi\u00e1 mong mu\u1ed1n c\u1ee7a m\u00ecnh nh\u00e9, c\u00f3 th\u1ec3 em nghe sai n\u00ean c\u00f3 g\u00ec m\u00ecnh ch\u1ec9nh gi\u00fap em nha. D\u1ea1 ba tr\u0103m n\u0103m m\u01b0\u01a1i tri\u1ec7u \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: D\u1ea1 ch\u01b0a \u1ea1."
}
▸ Output
{
"asking_price": "350000000",
"car_history": "Kh\u00f4ng va ch\u1ea1m n\u1eb7ng, kh\u00f4ng ng\u1eadp n\u01b0\u1edbc",
"fee_confirmed": "FALSE",
"info_score": 7,
"intention": "SLOW",
"is_closing": true,
"is_owner": "CH\u00cdNH CH\u1ee6",
"is_silent": false,
"loan": "KH\u00d4NG VAY NG\u00c2N H\u00c0NG",
"location": "H\u00e0 N\u1ed9i, qu\u1eadn Thanh Xu\u00e2n",
"odo": "10000",
"sale_reason": "CH\u01afA R\u00d5",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi v\u1edbi anh Nam, ch\u1ee7 xe Nissan Terra 2020. Xe ch\u00ednh ch\u1ee7, kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u0111\u00e3 ch\u1ea1y 10.000 km, kh\u00f4ng va ch\u1ea1m hay ng\u1eadp n\u01b0\u1edbc. Anh Nam \u1edf qu\u1eadn Thanh Xu\u00e2n, H\u00e0 N\u1ed9i, mu\u1ed1n b\u00e1n xe v\u1edbi gi\u00e1 350 tri\u1ec7u nh\u01b0ng ch\u01b0a r\u00f5 l\u00fd do b\u00e1n. Agent ch\u01b0a x\u00e1c nh\u1eadn Zalo, ch\u01b0a n\u00f3i ph\u00ed d\u1ecbch v\u1ee5 v\u00e0 ch\u01b0a \u0111\u01b0a h\u01b0\u1edbng d\u1eabn cu\u1ed1i, n\u00ean c\u1ea7n g\u1ecdi l\u1ea1i.",
"year": "2020",
"zalo_status": "FALSE"
}
✓
SLACK_POST
658ms
31/07 14:13
▸ Input
{
"sales_slack_id": "U0APZ6SB16K",
"sku": "FB-3HW5WEAA",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi v\u1edbi anh Nam, ch\u1ee7 xe Nissan Terra 2020. Xe ch\u00ednh ch\u1ee7, kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u0111\u00e3 ch\u1ea1y 10.000 km, kh\u00f4ng va ch\u1ea1m hay ng\u1eadp n\u01b0\u1edbc. Anh Nam \u1edf qu\u1eadn Thanh Xu\u00e2n, H\u00e0 N\u1ed9i, mu\u1ed1n b\u00e1n xe v\u1edbi gi\u00e1 350 tri\u1ec7u nh\u01b0ng ch\u01b0a r\u00f5 l\u00fd do b\u00e1n. Agent ch\u01b0a x\u00e1c nh\u1eadn Zalo, ch\u01b0a n\u00f3i ph\u00ed d\u1ecbch v\u1ee5 v\u00e0 ch\u01b0a \u0111\u01b0a h\u01b0\u1edbng d\u1eabn cu\u1ed1i, n\u00ean c\u1ea7n g\u1ecdi l\u1ea1i."
}
▸ Output
{
"posted": true,
"thread_ts": "1785481496.515559"
}
✓
CRM_APIS
245ms
31/07 14:13
✓
CRM_ACTIVITIES
115ms
31/07 14:13
✓
SLACK_AUDIO
3.9s
31/07 14:13
✓
UPDATE_CLOSING
111ms
31/07 14:13
{
"is_closing": true,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh Nam TK đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe Nissan Terra 2020 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 nắm thông tin của mình ạ! Dạ em nghe rất rõ rồi ạ, em xin... Client: Đúng rồi em ơi. Agent: Dạ em ghi nhận ạ. Dạ xe mình hiện có còn vay góp ngân hàng không ạ? Client: Còn còn. Agent: Dạ xe mình hiện còn vay góp ngân hàng ạ. Vậy không biết mình còn vay khoảng bao nhiêu nữa ạ? Client: Không vay, không vay. Agent: Dạ vậy là xe mình không còn vay góp ngân hàng nữa đúng không ạ? Client: Đúng rồi ạ. Agent: Dạ em ghi nhận ạ. Dạ cho em xác nhận lại xe mình là đời sản xuất năm hai không hai mươi phải không anh? Client: Đúng rồi anh. Agent: Dạ em ghi nhận ạ. Dạ hiện tại xe mình đang ở khu vực nào ạ? Client: Ờ, Hà Nội em. Agent: Dạ em thấy địa chỉ của anh ở Hà Nội, không biết cụ thể mình ở quận nào ạ? Client: Quận 7. Agent: Dạ em xin lỗi anh, hình như em nghe chưa rõ. Anh có thể nhắc lại giúp em tên quận... Client: Khánh Xuân, Hà Nội. Agent: ... Client: Minh Xuân, Minh Xuân. Agent: Dạ em xin lỗi anh, em vẫn chưa nghe rõ tên quận ạ. Anh có thể đánh vần giúp em được không ạ? Client: Quận, quận, quận Thanh Xuân em ơi. Agent: Dạ em ghi nhận là quận Thanh Xuân ạ. Dạ xe mình hiện đã chạy khoảng bao nhiêu... Client: Một giờ rưỡi. Agent: Dạ em xin lỗi anh, đoạn rồi tín ... Client: 10.000. Agent: Dạ em ghi nhận xe mình đã chạy khoảng mười nghìn ki lô mét ạ. Dạ không biết xe mình có từng va chạm nặng hay bị ngập nước gì không ạ? Client: Không có ạ. Agent: Dạ em ghi nhận ạ. ... Client: Không. Agent: Dạ anh bán xe lần này vì lý do gì ạ? Client: Lý do gì đâu? Lý dooo, lý do là bán thôi. Agent: Dạ em ghi nhận là mình bán xe thôi ạ. Dạ hiện tại anh có kế hoạch bán xe này trong bao lâu ạ? Tầm một tuần hay hơn ạ? Client: Hơm. 350. Agent: Dạ em xin phép đọc lại mức giá mong muốn của mình nhé, có thể em nghe sai nên có gì mình chỉnh giúp em nha. Dạ ba trăm năm mươi triệu đúng không ạ? Client: Dạ chưa ạ.