9ea7b83c-8717-4c0b-81ff-a997b53a843c
CALL BACK
Time
24/07/2026 10:35:15
Duration
2m 21s
Campaign
-
Conversation ID
conv_4801ky9324p3e1ns46xd2htr1a2g
Recording
AI Extraction
odo
55000
loan
KHÔNG VAY NGÂN HÀNG
year
2019
status
CALL BACK
summary
Cuộc gọi đến đúng khách hàng Ngon Vu, chủ xe Honda City 2019. Xe không còn vay ngân hàng, đã chạy 55.000 km, chưa đâm đụng hay ngập nước. Khách bán để đổi xe, chưa có nhu cầu gấp. Agent chưa xác nhận Zalo, chưa đọc lại giá, chưa nói phí 1% và chưa hướng dẫn cuối. Cần gọi lại để hoàn thiện thông tin và closing.
is_owner
CHÍNH CHỦ
location
Vũng Tàu
intention
SLOW
is_silent
-
info_score
6
is_closing
-
car_history
Chưa có đâm đụng hay ngập nước
sale_reason
Đổi xe
zalo_status
FALSE
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
8ms
24/07 10:35
▸ Input
{
"phone": "0908111031"
}
▸ Output
{
"car_brand": "Honda",
"car_model": "City",
"lead_id": "9ea7b83c-8717-4c0b-81ff-a997b53a843c",
"name": "Ngon Vu",
"sales": "U09DC7Y9UH1",
"sku": "FB-AU3LH2GG"
}
✓
PREPARE_CALL
2.0s
24/07 10:35
▸ Input
{
"car_brand": "Honda",
"car_model": "City",
"name": "Ngon Vu",
"sku": "FB-AU3LH2GG"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1784863995.744469",
"variables": {
"anh_chi": "anh",
"car_make": "Honda City 2019",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Ngon Vu"
}
}
✓
OUTBOUND_CALL
8.5s
24/07 10:35
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0908111031",
"variables": {
"anh_chi": "anh",
"car_make": "Honda City 2019",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin",
"user_name": "Ngon Vu"
}
}
▸ Output
{
"conversation_id": "conv_4801ky9324p3e1ns46xd2htr1a2g",
"raw": {
"conversation_id": "conv_4801ky9324p3e1ns46xd2htr1a2g",
"message": "Outbound call initiated",
"sip_call_id": "SCL_CDpDdxCJBFQY",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
24/07 10:39
▸ Input
{
"conversation_id": "conv_4801ky9324p3e1ns46xd2htr1a2g"
}
▸ Output
{
"duration_secs": 141,
"status": "done"
}
✓
TRANSCRIPT
24/07 10:39
▸ Input
{
"raw_turns": 34
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh Ngon Vu \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 Honda City 2019 \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. \u1edc.\nAgent: D\u1ea1...\nClient: D\u1ea1.\nAgent: D\u1ea1 xe m\u00ecnh mua ...\nClient: \u0110\u00fang, \u0111\u00fang r\u1ed3i ch\u1ecb.\nAgent: D\u1ea1, xe m\u00ecnh mua m\u1edbi ch\u00ednh ch\u1ee7 t\u1eeb \u0111\u1ea7u \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Alo. \u0110\u00fang r\u1ed3i, \u0111\u00fang r\u1ed3i.\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\u00f3.\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, kh\u00f4ng, 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 \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i.\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 m\u01b0\u1eddi ch\u00edn ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i.\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: \u0110\u1ea7u, \u0111\u1ea7u.\nAgent: D\u1ea1 em ch\u01b0a nghe r\u00f5, anh c\u00f3 th\u1ec3 n\u00f3i l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: V\u0169ng T\u00e0u, V\u0169ng T\u00e0u, V\u0169ng T\u00e0u.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c V\u0169ng T\u00e0u \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: \u1eea.\nClient: L\u00e2m, L\u00e2m Ng\u00e0n Tr\u00e1i.\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i em ch\u01b0a nghe k\u1ecbp \u1ea1, anh nh\u1eafc l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: 55.000 m\u1ed9t c\u00e2y.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh \u0111\u00e3 ch\u1ea1y kho\u1ea3ng n\u0103m m\u01b0\u01a1i l\u0103m ngh\u00ecn kilomet \u1ea1. D\u1ea1 trong qu\u00e1 tr\u00ecnh s\u1eed d\u1ee5ng, xe m\u00ecnh ch\u1eafc ch\u01b0a ph\u00e1t sinh \u0111\u00e2m \u0111\u1ee5ng hay ng\u1eadp n\u01b0\u1edbc \u0111\u00fang kh\u00f4ng anh ha?\nClient: Ch\u01b0a, ch\u01b0a.\nAgent: D\u1ea1 em ghi nh\u1eadn ...\nClient: Em ch\u01b0a c\u00f3 \u0103n \u0111\u1ee5a n\u00e0o h\u1ebft \u0111\u00e2u.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: Th\u1ea5y r\u1ea5t \u0111\u1ed5i xe \u00e1.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 m\u00ecnh b\u00e1n xe \u0111\u1ec3 \u0111\u1ed5i xe \u1ea1. D\u1ea1 kh\u00f4ng bi\u1ebft m\u00ecnh \u0111\u00e3 t\u00ecm hi\u1ec3u hay \u0111\u1eb7t...\nClient: \u1eea.\nClient: \u1eeam.",
"length": 1725,
"turns": 34
}
✓
AI_EXTRACTION
4.5s
24/07 10:39
▸ 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 Ngon Vu \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 Honda City 2019 \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. \u1edc.\nAgent: D\u1ea1...\nClient: D\u1ea1.\nAgent: D\u1ea1 xe m\u00ecnh mua ...\nClient: \u0110\u00fang, \u0111\u00fang r\u1ed3i ch\u1ecb.\nAgent: D\u1ea1, xe m\u00ecnh mua m\u1edbi ch\u00ednh ch\u1ee7 t\u1eeb \u0111\u1ea7u \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Alo. \u0110\u00fang r\u1ed3i, \u0111\u00fang r\u1ed3i.\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\u00f3.\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, kh\u00f4ng, 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 \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i.\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 m\u01b0\u1eddi ch\u00edn ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i.\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: \u0110\u1ea7u, \u0111\u1ea7u.\nAgent: D\u1ea1 em ch\u01b0a nghe r\u00f5, anh c\u00f3 th\u1ec3 n\u00f3i l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: V\u0169ng T\u00e0u, V\u0169ng T\u00e0u, V\u0169ng T\u00e0u.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c V\u0169ng T\u00e0u \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: \u1eea.\nClient: L\u00e2m, L\u00e2m Ng\u00e0n Tr\u00e1i.\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i em ch\u01b0a nghe k\u1ecbp \u1ea1, anh nh\u1eafc l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: 55.000 m\u1ed9t c\u00e2y.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh \u0111\u00e3 ch\u1ea1y kho\u1ea3ng n\u0103m m\u01b0\u01a1i l\u0103m ngh\u00ecn kilomet \u1ea1. D\u1ea1 trong qu\u00e1 tr\u00ecnh s\u1eed d\u1ee5ng, xe m\u00ecnh ch\u1eafc ch\u01b0a ph\u00e1t sinh \u0111\u00e2m \u0111\u1ee5ng hay ng\u1eadp n\u01b0\u1edbc \u0111\u00fang kh\u00f4ng anh ha?\nClient: Ch\u01b0a, ch\u01b0a.\nAgent: D\u1ea1 em ghi nh\u1eadn ...\nClient: Em ch\u01b0a c\u00f3 \u0103n \u0111\u1ee5a n\u00e0o h\u1ebft \u0111\u00e2u.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: Th\u1ea5y r\u1ea5t \u0111\u1ed5i xe \u00e1.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 m\u00ecnh b\u00e1n xe \u0111\u1ec3 \u0111\u1ed5i xe \u1ea1. D\u1ea1 kh\u00f4ng bi\u1ebft m\u00ecnh \u0111\u00e3 t\u00ecm hi\u1ec3u hay \u0111\u1eb7t...\nClient: \u1eea.\nClient: \u1eeam."
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "Ch\u01b0a c\u00f3 \u0111\u00e2m \u0111\u1ee5ng hay ng\u1eadp n\u01b0\u1edbc",
"fee_confirmed": "FALSE",
"info_score": 6,
"intention": "SLOW",
"is_closing": false,
"is_owner": "CH\u00cdNH CH\u1ee6",
"is_silent": false,
"loan": "KH\u00d4NG VAY NG\u00c2N H\u00c0NG",
"location": "V\u0169ng T\u00e0u",
"odo": "55000",
"sale_reason": "\u0110\u1ed5i xe",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi \u0111\u1ebfn \u0111\u00fang kh\u00e1ch h\u00e0ng Ngon Vu, ch\u1ee7 xe Honda City 2019. Xe kh\u00f4ng c\u00f2n vay ng\u00e2n h\u00e0ng, \u0111\u00e3 ch\u1ea1y 55.000 km, ch\u01b0a \u0111\u00e2m \u0111\u1ee5ng hay ng\u1eadp n\u01b0\u1edbc. Kh\u00e1ch b\u00e1n \u0111\u1ec3 \u0111\u1ed5i xe, ch\u01b0a c\u00f3 nhu c\u1ea7u g\u1ea5p. Agent ch\u01b0a x\u00e1c nh\u1eadn Zalo, ch\u01b0a \u0111\u1ecdc l\u1ea1i gi\u00e1, ch\u01b0a n\u00f3i ph\u00ed 1% v\u00e0 ch\u01b0a h\u01b0\u1edbng d\u1eabn cu\u1ed1i. C\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ho\u00e0n thi\u1ec7n th\u00f4ng tin v\u00e0 closing.",
"year": "2019",
"zalo_status": "FALSE"
}
✓
SLACK_POST
662ms
24/07 10:39
▸ Input
{
"sales_slack_id": "U09DC7Y9UH1",
"sku": "FB-AU3LH2GG",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi \u0111\u1ebfn \u0111\u00fang kh\u00e1ch h\u00e0ng Ngon Vu, ch\u1ee7 xe Honda City 2019. Xe kh\u00f4ng c\u00f2n vay ng\u00e2n h\u00e0ng, \u0111\u00e3 ch\u1ea1y 55.000 km, ch\u01b0a \u0111\u00e2m \u0111\u1ee5ng hay ng\u1eadp n\u01b0\u1edbc. Kh\u00e1ch b\u00e1n \u0111\u1ec3 \u0111\u1ed5i xe, ch\u01b0a c\u00f3 nhu c\u1ea7u g\u1ea5p. Agent ch\u01b0a x\u00e1c nh\u1eadn Zalo, ch\u01b0a \u0111\u1ecdc l\u1ea1i gi\u00e1, ch\u01b0a n\u00f3i ph\u00ed 1% v\u00e0 ch\u01b0a h\u01b0\u1edbng d\u1eabn cu\u1ed1i. C\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ho\u00e0n thi\u1ec7n th\u00f4ng tin v\u00e0 closing."
}
▸ Output
{
"posted": true,
"thread_ts": "1784863995.744469"
}
✓
CRM_APIS
169ms
24/07 10:39
✓
CRM_ACTIVITIES
109ms
24/07 10:39
✓
SLACK_AUDIO
3.9s
24/07 10:39
✓
UPDATE_CLOSING
124ms
24/07 10:39
{
"is_closing": false,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh Ngon Vu đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe Honda City 2019 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. Ờ. Agent: Dạ... Client: Dạ. Agent: Dạ xe mình mua ... Client: Đúng, đúng rồi chị. Agent: Dạ, xe mình mua mới chính chủ từ đầu đúng không ạ? Client: Alo. Đúng rồi, đúng rồi. Agent: Dạ em ghi nhận ạ. Dạ xe mình hiện có còn vay góp ngân hàng không ạ? Client: Có. Agent: Dạ, xe mình hiện có còn vay góp ngân hàng không ạ? Client: Không, không, không. Agent: Dạ vậy là xe mình không còn vay góp ngân hàng nữa đúng không ạ? Client: Đúng rồi. Agent: Dạ em ghi nhận ạ. Dạ cho em xác nhận lại xe mình là đời sản xuất năm hai không mười chín phải không anh? Client: Đúng rồi. Agent: Dạ em ghi nhận ạ. Dạ hiện tại xe mình đang ở khu vực nào ạ? Client: Đầu, đầu. Agent: Dạ em chưa nghe rõ, anh có thể nói lại giúp em với ạ? Client: Vũng Tàu, Vũng Tàu, Vũng Tàu. Agent: Dạ em ghi nhận là xe mình đang ở khu vực Vũng Tàu ạ. Dạ xe mình hiện đã chạy khoảng bao nhiêu kilomet rồi ạ? Client: Ừ. Client: Lâm, Lâm Ngàn Trái. Agent: Dạ em xin lỗi anh, đoạn rồi em chưa nghe kịp ạ, anh nhắc lại giúp em với ạ? Client: 55.000 một cây. Agent: Dạ em ghi nhận là xe mình đã chạy khoảng năm mươi lăm nghìn kilomet ạ. Dạ trong quá trình sử dụng, xe mình chắc chưa phát sinh đâm đụng hay ngập nước đúng không anh ha? Client: Chưa, chưa. Agent: Dạ em ghi nhận ... Client: Em chưa có ăn đụa nào hết đâu. Agent: Dạ em ghi nhận ạ. Dạ anh bán xe lần này vì lý do gì ạ? Client: Thấy rất đổi xe á. Agent: Dạ em ghi nhận là mình bán xe để đổi xe ạ. Dạ không biết mình đã tìm hiểu hay đặt... Client: Ừ. Client: Ừm.