ec24361a-4efd-43f6-b356-2a04b67a5e0f
CALL BACK
Time
15/08/2026 17:03:50
Duration
1m 47s
Campaign
-
Conversation ID
conv_1801m02e1kmnfm3sgt87etngw6xg
Recording
AI Extraction
odo
84
loan
CÒN VAY NGÂN HÀNG
year
2024
status
CALL BACK
summary
Cuộc gọi giữa agent Mỹ Linh và khách hàng Văn Thành về việc bán xe Ford Ranger 2024. Khách xác nhận là chính chủ, xe còn vay ngân hàng, đời 2024, ở Hà Nội, đã chạy 84 km, không va chạm hay ngập nước. Tuy nhiên, agent chưa xác nhận Zalo, chưa hỏi giá mong muốn, chưa nói phí dịch vụ và chưa đưa hướng dẫn cuối. Thông tin thu thập được khá đầy đủ nhưng chưa đủ điều kiện để chốt thành công, cần gọi lại để hoàn thiện các bước tiếp theo.
is_owner
CHÍNH CHỦ
location
Hà Nội
intention
SLOW
is_silent
-
info_score
6
is_closing
True
car_history
Không va chạm, không ngập nước
sale_reason
CHƯA RÕ
zalo_status
FALSE
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
39ms
15/08 17:03
▸ Input
{
"phone": "0372568886"
}
▸ Output
{
"car_brand": "Ford",
"car_model": "Ranger",
"lead_id": "ec24361a-4efd-43f6-b356-2a04b67a5e0f",
"name": "V\u0103n Th\u00e0nh",
"sales": "U0APZ6SB16K",
"sku": "FB-4Y34DMBK"
}
✓
FILTER_SALES
4ms
15/08 17:03
▸ Input
{
"sales_slack_id": "U0APZ6SB16K"
}
▸ Output
{
"decision": "CALL"
}
✓
PREPARE_CALL
6.3s
15/08 17:03
▸ Input
{
"car_brand": "Ford",
"car_model": "Ranger",
"name": "V\u0103n Th\u00e0nh",
"sku": "FB-4Y34DMBK"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1786788113.976929",
"variables": {
"anh_chi": "anh",
"car_make": "Ford Ranger 2024",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin. M\u1ee9c ph\u00ed d\u1ecbch v\u1ee5 Vu-Ca \u0111\u00e3 b\u00e1o kh\u00e1ch tr\u01b0\u1edbc \u0111\u00f3 l\u00e0 1.5% \u2014 khi n\u00f3i v\u1ec1 ph\u00ed ph\u1ea3i d\u00f9ng \u0110\u00daNG m\u1ee9c n\u00e0y, kh\u00f4ng b\u00e1o m\u1ee9c kh\u00e1c.",
"user_name": "V\u0103n Th\u00e0nh"
}
}
✓
OUTBOUND_CALL
7.7s
15/08 17:04
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0372568886",
"variables": {
"anh_chi": "anh",
"car_make": "Ford Ranger 2024",
"data": "Kh\u00f4ng c\u00f3 th\u00f4ng tin. M\u1ee9c ph\u00ed d\u1ecbch v\u1ee5 Vu-Ca \u0111\u00e3 b\u00e1o kh\u00e1ch tr\u01b0\u1edbc \u0111\u00f3 l\u00e0 1.5% \u2014 khi n\u00f3i v\u1ec1 ph\u00ed ph\u1ea3i d\u00f9ng \u0110\u00daNG m\u1ee9c n\u00e0y, kh\u00f4ng b\u00e1o m\u1ee9c kh\u00e1c.",
"user_name": "V\u0103n Th\u00e0nh"
}
}
▸ Output
{
"conversation_id": "conv_1801m02e1kmnfm3sgt87etngw6xg",
"raw": {
"conversation_id": "conv_1801m02e1kmnfm3sgt87etngw6xg",
"message": "Outbound call initiated",
"sip_call_id": "SCL_FXYJag3V6XDW",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
15/08 17:08
▸ Input
{
"conversation_id": "conv_1801m02e1kmnfm3sgt87etngw6xg"
}
▸ Output
{
"duration_secs": 107,
"status": "done"
}
✓
TRANSCRIPT
15/08 17:08
▸ Input
{
"raw_turns": 21
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh V\u0103n Th\u00e0nh \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 Ford Ranger 2024 \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: \u1eea. \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. V\u1eady xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: C\u00f3, c\u00f3. \u1eeam, d\u1ea1.\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: C\u00f2n, c\u00f2n.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh v\u1eabn c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng \u1ea1. V\u1eady xe m\u00ecnh \u0111\u1eddi s\u1ea3n xu\u1ea5t n\u0103m bao nhi\u00eau \u1ea1?\nClient: 2024.\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 hai t\u01b0 ph\u1ea3i kh\u00f4ng anh?\nClient: \u1eeam, \u0111\u00fang r\u1ed3i.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. Hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c n\u00e0o \u1ea1?\nClient: Xe m\u00ecnh \u1edf H\u00e0 N\u1ed9i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! 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: \u1edcm, S\u00e2n Th\u1edbi Y\u00ean.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: D\u1ea1, d\u1ea1, d\u1ea1, d\u1ea1, d\u1ea1. 84.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh \u0111\u00e3 ch\u1ea1y t\u00e1m m\u01b0\u01a1i t\u01b0 kilomet \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, kh\u00f4ng.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. Anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: Kh\u00f4ng bi\u1ebft \u1ea1. Kh\u00f4ng c\u00f3 va ch\u1ea1m \u1ea1.\nAgent: D\u1ea1 em hi\u1ec3u \u1ea1. V\u1eady anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?",
"length": 1359,
"turns": 21
}
✓
AI_EXTRACTION
1m 13s
15/08 17:09
▸ 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 V\u0103n Th\u00e0nh \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 Ford Ranger 2024 \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: \u1eea. \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. V\u1eady xe m\u00ecnh hi\u1ec7n c\u00f3 c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng kh\u00f4ng \u1ea1?\nClient: C\u00f3, c\u00f3. \u1eeam, d\u1ea1.\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: C\u00f2n, c\u00f2n.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh v\u1eabn c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng \u1ea1. V\u1eady xe m\u00ecnh \u0111\u1eddi s\u1ea3n xu\u1ea5t n\u0103m bao nhi\u00eau \u1ea1?\nClient: 2024.\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 hai t\u01b0 ph\u1ea3i kh\u00f4ng anh?\nClient: \u1eeam, \u0111\u00fang r\u1ed3i.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. Hi\u1ec7n t\u1ea1i xe m\u00ecnh \u0111ang \u1edf khu v\u1ef1c n\u00e0o \u1ea1?\nClient: Xe m\u00ecnh \u1edf H\u00e0 N\u1ed9i.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! 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: \u1edcm, S\u00e2n Th\u1edbi Y\u00ean.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. D\u1ea1 xe m\u00ecnh hi\u1ec7n \u0111\u00e3 ch\u1ea1y kho\u1ea3ng bao nhi\u00eau kilomet r\u1ed3i \u1ea1?\nClient: D\u1ea1, d\u1ea1, d\u1ea1, d\u1ea1, d\u1ea1. 84.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 xe m\u00ecnh \u0111\u00e3 ch\u1ea1y t\u00e1m m\u01b0\u01a1i t\u01b0 kilomet \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, kh\u00f4ng.\nAgent: D\u1ea1 em ghi nh\u1eadn \u1ea1. Anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?\nClient: Kh\u00f4ng bi\u1ebft \u1ea1. Kh\u00f4ng c\u00f3 va ch\u1ea1m \u1ea1.\nAgent: D\u1ea1 em hi\u1ec3u \u1ea1. V\u1eady anh b\u00e1n xe l\u1ea7n n\u00e0y v\u00ec l\u00fd do g\u00ec \u1ea1?"
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "Kh\u00f4ng va ch\u1ea1m, kh\u00f4ng ng\u1eadp n\u01b0\u1edbc",
"fee_confirmed": "FALSE",
"info_score": 6,
"intention": "SLOW",
"is_closing": true,
"is_owner": "CH\u00cdNH CH\u1ee6",
"is_silent": false,
"loan": "C\u00d2N VAY NG\u00c2N H\u00c0NG",
"location": "H\u00e0 N\u1ed9i",
"odo": "84",
"sale_reason": "CH\u01afA R\u00d5",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi gi\u1eefa agent M\u1ef9 Linh v\u00e0 kh\u00e1ch h\u00e0ng V\u0103n Th\u00e0nh v\u1ec1 vi\u1ec7c b\u00e1n xe Ford Ranger 2024. Kh\u00e1ch x\u00e1c nh\u1eadn l\u00e0 ch\u00ednh ch\u1ee7, xe c\u00f2n vay ng\u00e2n h\u00e0ng, \u0111\u1eddi 2024, \u1edf H\u00e0 N\u1ed9i, \u0111\u00e3 ch\u1ea1y 84 km, kh\u00f4ng va ch\u1ea1m hay ng\u1eadp n\u01b0\u1edbc. Tuy nhi\u00ean, agent ch\u01b0a x\u00e1c nh\u1eadn Zalo, ch\u01b0a h\u1ecfi gi\u00e1 mong mu\u1ed1n, ch\u01b0a n\u00f3i ph\u00ed d\u1ecbch v\u1ee5 v\u00e0 ch\u01b0a \u0111\u01b0a h\u01b0\u1edbng d\u1eabn cu\u1ed1i. Th\u00f4ng tin thu th\u1eadp \u0111\u01b0\u1ee3c kh\u00e1 \u0111\u1ea7y \u0111\u1ee7 nh\u01b0ng ch\u01b0a \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n \u0111\u1ec3 ch\u1ed1t th\u00e0nh c\u00f4ng, c\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ho\u00e0n thi\u1ec7n c\u00e1c b\u01b0\u1edbc ti\u1ebfp theo.",
"year": "2024",
"zalo_status": "FALSE"
}
✓
SLACK_POST
614ms
15/08 17:09
▸ Input
{
"sales_slack_id": "U0APZ6SB16K",
"sku": "FB-4Y34DMBK",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi gi\u1eefa agent M\u1ef9 Linh v\u00e0 kh\u00e1ch h\u00e0ng V\u0103n Th\u00e0nh v\u1ec1 vi\u1ec7c b\u00e1n xe Ford Ranger 2024. Kh\u00e1ch x\u00e1c nh\u1eadn l\u00e0 ch\u00ednh ch\u1ee7, xe c\u00f2n vay ng\u00e2n h\u00e0ng, \u0111\u1eddi 2024, \u1edf H\u00e0 N\u1ed9i, \u0111\u00e3 ch\u1ea1y 84 km, kh\u00f4ng va ch\u1ea1m hay ng\u1eadp n\u01b0\u1edbc. Tuy nhi\u00ean, agent ch\u01b0a x\u00e1c nh\u1eadn Zalo, ch\u01b0a h\u1ecfi gi\u00e1 mong mu\u1ed1n, ch\u01b0a n\u00f3i ph\u00ed d\u1ecbch v\u1ee5 v\u00e0 ch\u01b0a \u0111\u01b0a h\u01b0\u1edbng d\u1eabn cu\u1ed1i. Th\u00f4ng tin thu th\u1eadp \u0111\u01b0\u1ee3c kh\u00e1 \u0111\u1ea7y \u0111\u1ee7 nh\u01b0ng ch\u01b0a \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n \u0111\u1ec3 ch\u1ed1t th\u00e0nh c\u00f4ng, c\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ho\u00e0n thi\u1ec7n c\u00e1c b\u01b0\u1edbc ti\u1ebfp theo."
}
▸ Output
{
"posted": true,
"thread_ts": "1786788113.976929"
}
✓
CRM_APIS
275ms
15/08 17:09
✓
CRM_ACTIVITIES
202ms
15/08 17:09
✓
SLACK_AUDIO
3.6s
15/08 17:09
✓
UPDATE_CLOSING
138ms
15/08 17:09
{
"is_closing": true,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh Văn Thành đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe Ford Ranger 2024 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: Ừ. Đúng rồi. Agent: Dạ em ghi nhận ạ. Vậy xe mình hiện có còn vay góp ngân hàng không ạ? Client: Có, có. Ừm, dạ. Agent: dạ, em nắm thông tin của mình ạ! Dạ xe mình hiện có còn vay góp ngân hàng không ạ? Client: Còn, còn. Agent: Dạ em ghi nhận là xe mình vẫn còn vay góp ngân hàng ạ. Vậy xe mình đời sản xuất năm bao nhiêu ạ? Client: 2024. Agent: Dạ cho em xác nhận lại xe mình là đời sản xuất năm hai không hai tư phải không anh? Client: Ừm, đúng rồi. Agent: Dạ em ghi nhận ạ. Hiện tại xe mình đang ở khu vực nào ạ? Client: Xe mình ở Hà Nội. Agent: dạ, em nắm thông tin của mình ạ! Dạ em thấy địa chỉ của anh ở Hà Nội, không biết cụ thể mình ở quận nào ạ? Client: Ờm, Sân Thới Yên. Agent: Dạ em ghi nhận ạ. Dạ xe mình hiện đã chạy khoảng bao nhiêu kilomet rồi ạ? Client: Dạ, dạ, dạ, dạ, dạ. 84. Agent: Dạ em ghi nhận là xe mình đã chạy tám mươi tư kilomet ạ. Dạ không biết xe mình có từng va chạm nặng hay bị ngập nước gì không ạ? Client: Không, không. Agent: Dạ em ghi nhận ạ. Anh bán xe lần này vì lý do gì ạ? Client: Không biết ạ. Không có va chạm ạ. Agent: Dạ em hiểu ạ. Vậy anh bán xe lần này vì lý do gì ạ?