5b036835-a784-4a7c-a5a3-dc795b7fbc71
SUCCESS
Time
24/07/2026 12:48:33
Duration
2m 43s
Campaign
-
Conversation ID
conv_3601ky9ap8wwf7z9y82g9w2gp5v3
Recording
AI Extraction
odo
140000
loan
KHÔNG VAY NGÂN HÀNG
year
2014
status
SUCCESS
summary
Khách hàng là chủ xe mua lại đã sang tên, xe không vay ngân hàng, đời 2014, đang ở Tây Hồ, Hà Nội, đã chạy 140.000 km, không va chạm nặng hay ngập nước. Khách muốn bán xe để đổi xe khác, thời gian bán trong 1 tháng, giá mong muốn 760 triệu. Agent đã xác nhận Zalo, đọc lại giá, nói phí 1% và hướng dẫn gửi ảnh qua Zalo. Khách đồng ý và không có thắc mắc.
is_owner
MUA LẠI ĐÃ SANG TÊN
location
Tây Hồ, Hà Nội
intention
SLOW
is_silent
-
info_score
9
is_closing
True
car_history
Không va chạm nặng, không ngập nước
sale_reason
Đổi xe
zalo_status
TRUE
asking_price
760000000
fee_confirmed
TRUE
Execution Steps
✓
FIND_LEAD
8ms
24/07 12:48
▸ Input
{
"phone": "0916184653"
}
▸ Output
{
"car_brand": "bmw",
"car_model": "7 series",
"lead_id": "5b036835-a784-4a7c-a5a3-dc795b7fbc71",
"name": "Clarken Tran",
"sales": "U087LQGNVUL",
"sku": "FB-FABU7YAK"
}
✓
PREPARE_CALL
3.4s
24/07 12:48
▸ Input
{
"car_brand": "bmw",
"car_model": "7 series",
"name": "Clarken Tran",
"sku": "FB-FABU7YAK"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1784871995.524269",
"variables": {
"anh_chi": "anh",
"car_make": "bmw 7 series 2014",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Clarken Tran"
}
}
✓
OUTBOUND_CALL
8.1s
24/07 12:48
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0916184653",
"variables": {
"anh_chi": "anh",
"car_make": "bmw 7 series 2014",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Clarken Tran"
}
}
▸ Output
{
"conversation_id": "conv_3601ky9ap8wwf7z9y82g9w2gp5v3",
"raw": {
"conversation_id": "conv_3601ky9ap8wwf7z9y82g9w2gp5v3",
"message": "Outbound call initiated",
"sip_call_id": "SCL_HefVTTZhPQ5j",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
24/07 12:52
▸ Input
{
"conversation_id": "conv_3601ky9ap8wwf7z9y82g9w2gp5v3"
}
▸ Output
{
"duration_secs": 163,
"status": "done"
}
✓
TRANSCRIPT
24/07 12:52
▸ Input
{
"raw_turns": 35
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh Clarken 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 bmw 7 series 2014 \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. \u1eeam. OK.\nAgent: ...\nClient: T\u1eeb m\u00ecnh mua l\u1ea1i.\nAgent: D\u1ea1 hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111\u00e3 sang t\u00ean ch\u00ednh ch\u1ee7 hay c\u00f2n \u0111\u1ee9ng \u1ee7y quy\u1ec1n \u1ea1?\nClient: Ch\u00ednh ch\u1ee7, ch\u00ednh ch\u1ee7.\nAgent: D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng.\nAgent: 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\u1ed1n ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1 hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c n\u00e0o \u1ea1?\nClient: Khu v\u1ef1c T\u00e2y H\u1ed3, H\u00e0 N\u1ed9i.\nAgent: D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: V\u00e0 c\u00f2n m\u1ed9t tr\u0103m b\u1ed1n m\u01b0\u01a1i ngh\u00ecn.\nAgent: 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 b\u1ecb.\nAgent: D\u1ea1 anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: \u1edc, m\u00ecnh c\u1ea7n \u0111\u1ec3 m\u00ecnh \u0111\u1ed5i xe.\nAgent: D\u1ea1 kh\u00f4ng bi\u1ebft m\u00ecnh \u0111\u00e3 t\u00ecm hi\u1ec3u hay \u0111\u1eb7t c\u1ecdc m\u1eabu xe n\u00e0o ch\u01b0a \u1ea1?\nClient: Ch\u01b0a.\nAgent: 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 anh ha?\nClient: M\u1ed9t th\u00e1ng.\nAgent: D\u1ea1 anh mong mu\u1ed1n b\u00e1n xe n\u00e0y v\u1edbi m\u1ee9c gi\u00e1 kho\u1ea3ng bao nhi\u00eau \u1ea1?\nClient: 760 tri\u1ec7u.\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 b\u1ea3y tr\u0103m s\u00e1u m\u01b0\u01a1i tri\u1ec7u \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em ghi nh\u1eadn m\u1ee9c gi\u00e1 mong mu\u1ed1n b\u1ea3y tr\u0103m s\u00e1u m\u01b0\u01a1i tri\u1ec7u c\u1ee7a m\u00ecnh r\u1ed3i \u1ea1. B\u00ean em thu ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 m\u1ed9t ph\u1ea7n tr\u0103m tr\u00ean gi\u00e1 b\u00e1n cu\u1ed1i c\u00f9ng th\u00f4i \u1ea1. B\u00ean em k\u1ebft n\u1ed1i h\u01a1n hai ngh\u00ecn ng\u01b0\u1eddi mua ti\u1ec1m...\nClient: M\u00ecnh trang b\u1ecb ph\u1ee5 t\u00f9ng \u1ea1.\nAgent: D\u1ea1 anh c\u00f3 th\u1eafc m\u1eafc g\u00ec v\u1ec1 ph\u00ed d\u1ecbch v\u1ee5 hay c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a Vu-Ca kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng th\u1eafc m\u1eafc. Xem m\u00ecnh trang b\u1ecb full option.\nAgent: D\u1ea1 anh cho em x\u00e1c nh\u1eadn s\u1ed1 \u0111i\u1ec7n tho\u1ea1i em \u0111ang g\u1ecdi c\u00f3 ph\u1ea3i l\u00e0 s\u1ed1 Zalo c\u1ee7a anh kh\u00f4ng \u1ea1? S\u1ed1 n\u00e0y m\u00ecnh c\u00f3 ch\u1eb7n t\u00ecm ki\u1ebfm hay...\nClient: Ch\u01b0a ch\u1eb7n.\nAgent: D\u1ea1 em \u0111\u00e3 ghi nh\u1eadn th\u00f4ng tin xe c\u1ee7a m\u00ecnh r\u1ed3i \u1ea1, s\u1ebd c\u00f3 chuy\u00ean vi\u00ean Vu-Ca k\u1ebft b\u1ea1n v\u00e0 h\u1ed7 tr\u1ee3 ti\u1ebfp t\u1ee5c \u1ea1. Sau khi k\u1ebft b\u1ea1n Zalo anh g\u1eedi gi\u00fap em b\u1ed9 \u1ea3nh n\u1ed9i ngo\u1ea1i th\u1ea5t xe v\u00e0 gi\u1ea5y \u0111\u0103ng ki\u1ec3m \u0111\u1ec3 chuy\u00ean vi\u00ean b\u00ean em h\u1ed7 tr\u1ee3 nhanh nh\u1ea5t \u1ea1.\nClient: OK.\nClient: OK, OK.",
"length": 2210,
"turns": 35
}
✓
AI_EXTRACTION
1m 5s
24/07 12:53
▸ 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 \"ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 1%\" 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 \"ph\u00ed 1%\" 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 ph\u00ed 1%, \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 Clarken 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 bmw 7 series 2014 \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. \u1eeam. OK.\nAgent: ...\nClient: T\u1eeb m\u00ecnh mua l\u1ea1i.\nAgent: D\u1ea1 hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111\u00e3 sang t\u00ean ch\u00ednh ch\u1ee7 hay c\u00f2n \u0111\u1ee9ng \u1ee7y quy\u1ec1n \u1ea1?\nClient: Ch\u00ednh ch\u1ee7, ch\u00ednh ch\u1ee7.\nAgent: D\u1ea1 xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng.\nAgent: 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\u1ed1n ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1 hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c n\u00e0o \u1ea1?\nClient: Khu v\u1ef1c T\u00e2y H\u1ed3, H\u00e0 N\u1ed9i.\nAgent: D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: V\u00e0 c\u00f2n m\u1ed9t tr\u0103m b\u1ed1n m\u01b0\u01a1i ngh\u00ecn.\nAgent: 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 b\u1ecb.\nAgent: D\u1ea1 anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: \u1edc, m\u00ecnh c\u1ea7n \u0111\u1ec3 m\u00ecnh \u0111\u1ed5i xe.\nAgent: D\u1ea1 kh\u00f4ng bi\u1ebft m\u00ecnh \u0111\u00e3 t\u00ecm hi\u1ec3u hay \u0111\u1eb7t c\u1ecdc m\u1eabu xe n\u00e0o ch\u01b0a \u1ea1?\nClient: Ch\u01b0a.\nAgent: 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 anh ha?\nClient: M\u1ed9t th\u00e1ng.\nAgent: D\u1ea1 anh mong mu\u1ed1n b\u00e1n xe n\u00e0y v\u1edbi m\u1ee9c gi\u00e1 kho\u1ea3ng bao nhi\u00eau \u1ea1?\nClient: 760 tri\u1ec7u.\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 b\u1ea3y tr\u0103m s\u00e1u m\u01b0\u01a1i tri\u1ec7u \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1 em ghi nh\u1eadn m\u1ee9c gi\u00e1 mong mu\u1ed1n b\u1ea3y tr\u0103m s\u00e1u m\u01b0\u01a1i tri\u1ec7u c\u1ee7a m\u00ecnh r\u1ed3i \u1ea1. B\u00ean em thu ph\u00ed d\u1ecbch v\u1ee5 ch\u1ec9 m\u1ed9t ph\u1ea7n tr\u0103m tr\u00ean gi\u00e1 b\u00e1n cu\u1ed1i c\u00f9ng th\u00f4i \u1ea1. B\u00ean em k\u1ebft n\u1ed1i h\u01a1n hai ngh\u00ecn ng\u01b0\u1eddi mua ti\u1ec1m...\nClient: M\u00ecnh trang b\u1ecb ph\u1ee5 t\u00f9ng \u1ea1.\nAgent: D\u1ea1 anh c\u00f3 th\u1eafc m\u1eafc g\u00ec v\u1ec1 ph\u00ed d\u1ecbch v\u1ee5 hay c\u00e1ch ho\u1ea1t \u0111\u1ed9ng c\u1ee7a Vu-Ca kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng th\u1eafc m\u1eafc. Xem m\u00ecnh trang b\u1ecb full option.\nAgent: D\u1ea1 anh cho em x\u00e1c nh\u1eadn s\u1ed1 \u0111i\u1ec7n tho\u1ea1i em \u0111ang g\u1ecdi c\u00f3 ph\u1ea3i l\u00e0 s\u1ed1 Zalo c\u1ee7a anh kh\u00f4ng \u1ea1? S\u1ed1 n\u00e0y m\u00ecnh c\u00f3 ch\u1eb7n t\u00ecm ki\u1ebfm hay...\nClient: Ch\u01b0a ch\u1eb7n.\nAgent: D\u1ea1 em \u0111\u00e3 ghi nh\u1eadn th\u00f4ng tin xe c\u1ee7a m\u00ecnh r\u1ed3i \u1ea1, s\u1ebd c\u00f3 chuy\u00ean vi\u00ean Vu-Ca k\u1ebft b\u1ea1n v\u00e0 h\u1ed7 tr\u1ee3 ti\u1ebfp t\u1ee5c \u1ea1. Sau khi k\u1ebft b\u1ea1n Zalo anh g\u1eedi gi\u00fap em b\u1ed9 \u1ea3nh n\u1ed9i ngo\u1ea1i th\u1ea5t xe v\u00e0 gi\u1ea5y \u0111\u0103ng ki\u1ec3m \u0111\u1ec3 chuy\u00ean vi\u00ean b\u00ean em h\u1ed7 tr\u1ee3 nhanh nh\u1ea5t \u1ea1.\nClient: OK.\nClient: OK, OK."
}
▸ Output
{
"asking_price": "760000000",
"car_history": "Kh\u00f4ng va ch\u1ea1m n\u1eb7ng, kh\u00f4ng ng\u1eadp n\u01b0\u1edbc",
"fee_confirmed": "TRUE",
"info_score": 9,
"intention": "SLOW",
"is_closing": true,
"is_owner": "MUA L\u1ea0I \u0110\u00c3 SANG T\u00caN",
"is_silent": false,
"loan": "KH\u00d4NG VAY NG\u00c2N H\u00c0NG",
"location": "T\u00e2y H\u1ed3, H\u00e0 N\u1ed9i",
"odo": "140000",
"sale_reason": "\u0110\u1ed5i xe",
"status": "SUCCESS",
"summary": "Kh\u00e1ch h\u00e0ng l\u00e0 ch\u1ee7 xe mua l\u1ea1i \u0111\u00e3 sang t\u00ean, xe kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u0111\u1eddi 2014, \u0111ang \u1edf T\u00e2y H\u1ed3, H\u00e0 N\u1ed9i, \u0111\u00e3 ch\u1ea1y 140.000 km, kh\u00f4ng va ch\u1ea1m n\u1eb7ng hay ng\u1eadp n\u01b0\u1edbc. Kh\u00e1ch mu\u1ed1n b\u00e1n xe \u0111\u1ec3 \u0111\u1ed5i xe kh\u00e1c, th\u1eddi gian b\u00e1n trong 1 th\u00e1ng, gi\u00e1 mong mu\u1ed1n 760 tri\u1ec7u. Agent \u0111\u00e3 x\u00e1c nh\u1eadn Zalo, \u0111\u1ecdc l\u1ea1i gi\u00e1, n\u00f3i ph\u00ed 1% v\u00e0 h\u01b0\u1edbng d\u1eabn g\u1eedi \u1ea3nh qua Zalo. Kh\u00e1ch \u0111\u1ed3ng \u00fd v\u00e0 kh\u00f4ng c\u00f3 th\u1eafc m\u1eafc.",
"year": "2014",
"zalo_status": "TRUE"
}
✓
SLACK_POST
667ms
24/07 12:53
▸ Input
{
"sales_slack_id": "U087LQGNVUL",
"sku": "FB-FABU7YAK",
"status": "SUCCESS",
"summary": "Kh\u00e1ch h\u00e0ng l\u00e0 ch\u1ee7 xe mua l\u1ea1i \u0111\u00e3 sang t\u00ean, xe kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u0111\u1eddi 2014, \u0111ang \u1edf T\u00e2y H\u1ed3, H\u00e0 N\u1ed9i, \u0111\u00e3 ch\u1ea1y 140.000 km, kh\u00f4ng va ch\u1ea1m n\u1eb7ng hay ng\u1eadp n\u01b0\u1edbc. Kh\u00e1ch mu\u1ed1n b\u00e1n xe \u0111\u1ec3 \u0111\u1ed5i xe kh\u00e1c, th\u1eddi gian b\u00e1n trong 1 th\u00e1ng, gi\u00e1 mong mu\u1ed1n 760 tri\u1ec7u. Agent \u0111\u00e3 x\u00e1c nh\u1eadn Zalo, \u0111\u1ecdc l\u1ea1i gi\u00e1, n\u00f3i ph\u00ed 1% v\u00e0 h\u01b0\u1edbng d\u1eabn g\u1eedi \u1ea3nh qua Zalo. Kh\u00e1ch \u0111\u1ed3ng \u00fd v\u00e0 kh\u00f4ng c\u00f3 th\u1eafc m\u1eafc."
}
▸ Output
{
"posted": true,
"thread_ts": "1784871995.524269"
}
✓
CRM_APIS
1.1s
24/07 12:53
✓
CRM_ACTIVITIES
162ms
24/07 12:53
✓
SLACK_AUDIO
3.5s
24/07 12:53
✓
UPDATE_CLOSING
144ms
24/07 12:53
{
"is_closing": true,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh Clarken Tran đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe bmw 7 series 2014 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. Ừm. OK. Agent: ... Client: Từ mình mua lại. Agent: Dạ hiện tại xe mình đã sang tên chính chủ hay còn đứng ủy quyền ạ? Client: Chính chủ, chính chủ. Agent: Dạ xe mình hiện có còn vay góp ngân hàng không ạ? Client: Không. Agent: Dạ cho em xác nhận lại xe mình là đời sản xuất năm hai không mười bốn phải không anh? Client: Đúng rồi. Agent: Dạ hiện tại xe mình đang ở khu vực nào ạ? Client: Khu vực Tây Hồ, Hà Nội. Agent: Dạ xe mình hiện đã chạy khoảng bao nhiêu kilomet rồi ạ? Client: Và còn một trăm bốn mươi nghìn. Agent: Dạ không biết xe mình có từng va chạm nặng hay bị ngập nước gì không ạ? Client: Không bị. Agent: Dạ anh bán xe lần này vì lý do gì ạ? Client: Ờ, mình cần để mình đổi xe. Agent: Dạ không biết mình đã tìm hiểu hay đặt cọc mẫu xe nào chưa ạ? Client: Chưa. Agent: Dạ hiện tại anh có kế hoạch bán xe này trong bao lâu ạ? Tầm một tuần hay hơn anh ha? Client: Một tháng. Agent: Dạ anh mong muốn bán xe này với mức giá khoảng bao nhiêu ạ? Client: 760 triệu. 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 bảy trăm sáu mươi triệu đúng không ạ? Client: Đúng rồi. Agent: dạ, em nắm thông tin của mình ạ! Dạ em ghi nhận mức giá mong muốn bảy trăm sáu mươi triệu của mình rồi ạ. Bên em thu phí dịch vụ chỉ một phần trăm trên giá bán cuối cùng thôi ạ. Bên em kết nối hơn hai nghìn người mua tiềm... Client: Mình trang bị phụ tùng ạ. Agent: Dạ anh có thắc mắc gì về phí dịch vụ hay cách hoạt động của Vu-Ca không ạ? Client: Không thắc mắc. Xem mình trang bị full option. Agent: Dạ anh cho em xác nhận số điện thoại em đang gọi có phải là số Zalo của anh không ạ? Số này mình có chặn tìm kiếm hay... Client: Chưa chặn. Agent: Dạ em đã ghi nhận thông tin xe của mình rồi ạ, sẽ có chuyên viên Vu-Ca kết bạn và hỗ trợ tiếp tục ạ. Sau khi kết bạn Zalo anh gửi giúp em bộ ảnh nội ngoại thất xe và giấy đăng kiểm để chuyên viên bên em hỗ trợ nhanh nhất ạ. Client: OK. Client: OK, OK.