5ecf8cbe-0425-41f0-9de2-7c1c89aaecd7
CALL BACK
Time
07/08/2026 15:06:27
Duration
1m 8s
Campaign
-
Conversation ID
conv_9601kzdm4scbex49kckgt9fte7kf
Recording
AI Extraction
odo
CHƯA RÕ
loan
KHÔNG VAY NGÂN HÀNG
year
2017
status
CALL BACK
summary
Cuộc gọi xác nhận khách hàng là chủ xe Hyundai SantaFe 2017 mua lại đã sang tên, không vay ngân hàng, ở Quận 3, TP.HCM. Agent chưa xác nhận Zalo, chưa hỏi giá mong muốn, chưa nói phí dịch vụ và chưa đưa hướng dẫn cuối. Khách hàng chưa có thông tin về số km, lịch sử xe, lý do bán và giá bán. Cần gọi lại để hoàn thiện thông tin và thực hiện các bước closing.
is_owner
MUA LẠI ĐÃ SANG TÊN
location
Thành phố Hồ Chí Minh, Quận 3
intention
SLOW
is_silent
-
info_score
6
is_closing
True
car_history
CHƯA RÕ
sale_reason
CHƯA RÕ
zalo_status
FALSE
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
6ms
07/08 15:06
▸ Input
{
"phone": "0974505007"
}
▸ Output
{
"car_brand": "hyundai",
"car_model": "santafe",
"lead_id": "5ecf8cbe-0425-41f0-9de2-7c1c89aaecd7",
"name": "qtu",
"sales": "U07UFLAMJ6B",
"sku": "SKU-GZJB59"
}
✓
FILTER_SALES
2ms
07/08 15:06
▸ Input
{
"sales_slack_id": "U07UFLAMJ6B"
}
▸ Output
{
"decision": "CALL"
}
✓
PREPARE_CALL
1.8s
07/08 15:06
▸ Input
{
"car_brand": "hyundai",
"car_model": "santafe",
"name": "qtu",
"sku": "SKU-GZJB59"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1786089865.924149",
"variables": {
"anh_chi": "anh",
"car_make": "hyundai santafe 2017",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:D\u01b0\u1edbi 1 th\u00e1ng, l\u00fd do b\u00e1n: \u0110\u1ed5i xe m\u1edbi, odo: 130000, gi\u00e1 mong mu\u1ed1n: 600000000, v\u1ecb tr\u00ed: TP.HCM",
"user_name": "qtu"
}
}
✓
OUTBOUND_CALL
7.5s
07/08 15:06
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0974505007",
"variables": {
"anh_chi": "anh",
"car_make": "hyundai santafe 2017",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:D\u01b0\u1edbi 1 th\u00e1ng, l\u00fd do b\u00e1n: \u0110\u1ed5i xe m\u1edbi, odo: 130000, gi\u00e1 mong mu\u1ed1n: 600000000, v\u1ecb tr\u00ed: TP.HCM",
"user_name": "qtu"
}
}
▸ Output
{
"conversation_id": "conv_9601kzdm4scbex49kckgt9fte7kf",
"raw": {
"conversation_id": "conv_9601kzdm4scbex49kckgt9fte7kf",
"message": "Outbound call initiated",
"sip_call_id": "SCL_uEPruijt5gAC",
"success": true
},
"retries": 0
}
✓
WAIT_CONVERSATION
4m 0s
07/08 15:10
▸ Input
{
"conversation_id": "conv_9601kzdm4scbex49kckgt9fte7kf"
}
▸ Output
{
"duration_secs": 68,
"status": "done"
}
✓
TRANSCRIPT
07/08 15:10
▸ Input
{
"raw_turns": 15
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh qtu \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 hyundai santafe 2017 \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. \u0110\u00fang kh\u00f4ng em? \u1edc.\nAgent: D\u1ea1 em...\nClient: Mua, mua l\u1ea1i.\nAgent: D\u1ea1, xe m\u00ecnh mua l\u1ea1i \u1ea1. V\u1eady hi\u1ec7n t\u1ea1i xe \u0111\u00e3 sang t\u00ean ch\u00ednh ch\u1ee7 m\u00ecnh hay c\u00f2n \u0111\u1ee9ng \u1ee7y quy\u1ec1n \u1ea1?\nClient: \u00c0. \u1eea.\nAgent: D\u1ea1,...\nClient: Sang t\u00ean.\nAgent: DD\u1ea1, \u0111\u00e3 sang t\u00ean ch\u00ednh ch\u1ee7 r\u1ed3i \u1ea1. V\u1eady 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, v\u1eady 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\u1ea3y ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1, em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh, kh\u00f4ng bi\u1ebft c\u1ee5 th\u1ec3 m\u00ecnh \u1edf qu\u1eadn n\u00e0o \u1ea1?\nClient: Qu\u1eadn 3, \u00f4ng.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em ghi ...",
"length": 845,
"turns": 15
}
✓
AI_EXTRACTION
9.9s
07/08 15:10
▸ 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 qtu \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 hyundai santafe 2017 \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. \u0110\u00fang kh\u00f4ng em? \u1edc.\nAgent: D\u1ea1 em...\nClient: Mua, mua l\u1ea1i.\nAgent: D\u1ea1, xe m\u00ecnh mua l\u1ea1i \u1ea1. V\u1eady hi\u1ec7n t\u1ea1i xe \u0111\u00e3 sang t\u00ean ch\u00ednh ch\u1ee7 m\u00ecnh hay c\u00f2n \u0111\u1ee9ng \u1ee7y quy\u1ec1n \u1ea1?\nClient: \u00c0. \u1eea.\nAgent: D\u1ea1,...\nClient: Sang t\u00ean.\nAgent: DD\u1ea1, \u0111\u00e3 sang t\u00ean ch\u00ednh ch\u1ee7 r\u1ed3i \u1ea1. V\u1eady 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, v\u1eady 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\u1ea3y ph\u1ea3i kh\u00f4ng anh?\nClient: \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1, em th\u1ea5y \u0111\u1ecba ch\u1ec9 c\u1ee7a anh \u1edf th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh, kh\u00f4ng bi\u1ebft c\u1ee5 th\u1ec3 m\u00ecnh \u1edf qu\u1eadn n\u00e0o \u1ea1?\nClient: Qu\u1eadn 3, \u00f4ng.\nAgent: d\u1ea1, em n\u1eafm th\u00f4ng tin c\u1ee7a m\u00ecnh \u1ea1! D\u1ea1, em ghi ..."
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "CH\u01afA R\u00d5",
"fee_confirmed": "FALSE",
"info_score": 6,
"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": "Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh, Qu\u1eadn 3",
"odo": "CH\u01afA R\u00d5",
"sale_reason": "CH\u01afA R\u00d5",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi x\u00e1c nh\u1eadn kh\u00e1ch h\u00e0ng l\u00e0 ch\u1ee7 xe Hyundai SantaFe 2017 mua l\u1ea1i \u0111\u00e3 sang t\u00ean, kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u1edf Qu\u1eadn 3, TP.HCM. 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. Kh\u00e1ch h\u00e0ng ch\u01b0a c\u00f3 th\u00f4ng tin v\u1ec1 s\u1ed1 km, l\u1ecbch s\u1eed xe, l\u00fd do b\u00e1n v\u00e0 gi\u00e1 b\u00e1n. C\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ho\u00e0n thi\u1ec7n th\u00f4ng tin v\u00e0 th\u1ef1c hi\u1ec7n c\u00e1c b\u01b0\u1edbc closing.",
"year": "2017",
"zalo_status": "FALSE"
}
✓
SLACK_POST
611ms
07/08 15:10
▸ Input
{
"sales_slack_id": "U07UFLAMJ6B",
"sku": "SKU-GZJB59",
"status": "CALL BACK",
"summary": "Cu\u1ed9c g\u1ecdi x\u00e1c nh\u1eadn kh\u00e1ch h\u00e0ng l\u00e0 ch\u1ee7 xe Hyundai SantaFe 2017 mua l\u1ea1i \u0111\u00e3 sang t\u00ean, kh\u00f4ng vay ng\u00e2n h\u00e0ng, \u1edf Qu\u1eadn 3, TP.HCM. 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. Kh\u00e1ch h\u00e0ng ch\u01b0a c\u00f3 th\u00f4ng tin v\u1ec1 s\u1ed1 km, l\u1ecbch s\u1eed xe, l\u00fd do b\u00e1n v\u00e0 gi\u00e1 b\u00e1n. C\u1ea7n g\u1ecdi l\u1ea1i \u0111\u1ec3 ho\u00e0n thi\u1ec7n th\u00f4ng tin v\u00e0 th\u1ef1c hi\u1ec7n c\u00e1c b\u01b0\u1edbc closing."
}
▸ Output
{
"posted": true,
"thread_ts": "1786089865.924149"
}
✓
CRM_APIS
235ms
07/08 15:10
✓
CRM_ACTIVITIES
123ms
07/08 15:10
✓
SLACK_AUDIO
3.9s
07/08 15:10
✓
UPDATE_CLOSING
236ms
07/08 15:10
{
"is_closing": true,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh qtu đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe hyundai santafe 2017 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. Đúng không em? Ờ. Agent: Dạ em... Client: Mua, mua lại. Agent: Dạ, xe mình mua lại ạ. Vậy hiện tại xe đã sang tên chính chủ mình hay còn đứng ủy quyền ạ? Client: À. Ừ. Agent: Dạ,... Client: Sang tên. Agent: DDạ, đã sang tên chính chủ rồi ạ. Vậy xe mình hiện có còn vay góp ngân hàng không ạ? Client: Không. Agent: Dạ, vậy cho em xác nhận lại xe mình là đời sản xuất năm hai không mười bảy phải không anh? Client: Đúng rồi. Agent: Dạ, em thấy địa chỉ của anh ở thành phố Hồ Chí Minh, không biết cụ thể mình ở quận nào ạ? Client: Quận 3, ông. Agent: dạ, em nắm thông tin của mình ạ! Dạ, em ghi ...