2194acc1-071e-46ea-9a14-0cf7574db4b3
FAILED
Time
22/09/2026 08:36:49
Duration
2m 14s
Campaign
-
Conversation ID
conv_9901m33ccyacenx9e61tcybwb3m8
Recording
AI Extraction
odo
CHƯA RÕ
loan
CHƯA RÕ
year
CHƯA RÕ
status
FAILED
summary
-
is_owner
CHƯA RÕ
location
CHƯA RÕ
intention
SLOW
is_silent
-
info_score
-
is_closing
True
car_history
CHƯA RÕ
sale_reason
CHƯA RÕ
zalo_status
CHƯA RÕ
asking_price
CHƯA RÕ
fee_confirmed
FALSE
Execution Steps
✓
FIND_LEAD
419ms
22/09 08:36
▸ Input
{
"phone": "0971983855"
}
▸ Output
{
"car_brand": "toyota",
"car_model": "vios",
"lead_id": "2194acc1-071e-46ea-9a14-0cf7574db4b3",
"name": "Nguy\u1ec5n B\u00e1 H\u1ec7",
"sales": "U0C1C7M033Q",
"sku": "SKU-SSDBC8"
}
✓
FILTER_SALES
4ms
22/09 08:36
▸ Input
{
"sales_slack_id": "U0C1C7M033Q"
}
▸ Output
{
"decision": "CALL"
}
✓
PREPARE_CALL
1m 5s
22/09 08:37
▸ Input
{
"car_brand": "toyota",
"car_model": "vios",
"name": "Nguy\u1ec5n B\u00e1 H\u1ec7",
"sku": "SKU-SSDBC8"
}
▸ Output
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"thread_ts": "1790040888.583729",
"variables": {
"anh_chi": "anh",
"car_make": "toyota vios 2018",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:Tr\u00ean 1 th\u00e1ng, l\u00fd do b\u00e1n: \u0110\u1ed5i ngh\u1ec1 nghi\u1ec7p, odo: 36000, gi\u00e1 mong mu\u1ed1n: 240000000, v\u1ecb tr\u00ed: HaNoi",
"user_name": "Nguy\u1ec5n B\u00e1 H\u1ec7"
}
}
✓
OUTBOUND_CALL
3m 53s
22/09 08:41
▸ Input
{
"agent_id": "agent_2601kwkhdyzhfq4t8yvnr0r5n4bn",
"phone": "0971983855",
"variables": {
"anh_chi": "anh",
"car_make": "toyota vios 2018",
"data": "t\u00f3m t\u1eaft kh\u00e1ch h\u00e0ng: th\u1eddi gian mu\u1ed1n b\u00e1n:Tr\u00ean 1 th\u00e1ng, l\u00fd do b\u00e1n: \u0110\u1ed5i ngh\u1ec1 nghi\u1ec7p, odo: 36000, gi\u00e1 mong mu\u1ed1n: 240000000, v\u1ecb tr\u00ed: HaNoi",
"user_name": "Nguy\u1ec5n B\u00e1 H\u1ec7"
}
}
▸ Output
{
"conversation_id": "conv_9901m33ccyacenx9e61tcybwb3m8",
"raw": {
"conversation_id": "conv_9901m33ccyacenx9e61tcybwb3m8",
"message": "Outbound call initiated",
"sip_call_id": "SCL_k5ckbNRGs6pu",
"success": true
},
"retries": 2
}
✓
WAIT_CONVERSATION
4m 0s
22/09 08:45
▸ Input
{
"conversation_id": "conv_9901m33ccyacenx9e61tcybwb3m8"
}
▸ Output
{
"duration_secs": 134,
"status": "done"
}
✓
TRANSCRIPT
22/09 08:45
▸ Input
{
"raw_turns": 23
}
▸ Output
{
"full_chat": "Agent: \u201cD\u1ea1 alo, cho em h\u1ecfi c\u00f3 ph\u1ea3i anh Nguy\u1ec5n B\u00e1 H\u1ec7 \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 toyota vios 2018 \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: \u00c0.\nAgent: D\u1ea1 anh cho em h\u1ecfi...\nClient: Ch\u00fa \u01a1i!\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i t\u00edn hi\u1ec7u h\u01a1i ch\u1eadp ch\u1eddn n\u00ean em ch\u01b0a nghe k\u1ecbp \u1ea1, anh n\u00f3i l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: V\u00e2ng, xin em nh\u1ec9? \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin l\u1ed7i anh do t\u00edn hi\u1ec7u m\u1ea1ng v\u1eeba r\u1ed3i h\u01a1i ch\u1eadp ch\u1eddn \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 vay em.\nAgent: D\u1ea1 v\u1eady l\u00e0 xe m\u00ecnh v\u1eabn c\u00f2n \u0111ang vay g\u00f3p ng\u00e2n h\u00e0ng, \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng, kh\u00f4ng, kh\u00f4ng.\nAgent: D\u1ea1 v\u1eady l\u00e0 xe m\u00ecnh hi\u1ec7n kh\u00f4ng c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng n\u1eefa, \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i, \u0111\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 t\u00e1m ph\u1ea3i kh\u00f4ng anh?\nClient: Ch\u01b0a c\u00f3 \u1ea1.\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i t\u00edn hi\u1ec7u h\u01a1i ch\u1eadp ch\u1eddn n\u00ean em ch\u01b0a nghe k\u1ecbp \u1ea1, anh n\u00f3i l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: \u1eeam, 2018.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin l\u1ed7i anh do t\u00edn hi\u1ec7u m\u1ea1ng v\u1eeba r\u1ed3i h\u01a1i ch\u1eadp ch\u1eddn \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: H\u00e0 \u0110\u00f4ng nha.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 H\u00e0 \u0110\u00f4ng \u1ea1. D\u1ea1 em th\u1ea5y xe \u0111\u00e3 ch\u1ea1y kho\u1ea3ng ba m\u01b0\u01a1i s\u00e1u ngh\u00ecn kilomet, \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Qu\u1eadn 9, H\u00e0 N\u1ed9i \u1ea1. D\u1ea1. 320 ng\u00e0n.\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 hai m\u01b0\u01a1i ngh\u00ecn \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Ba tr\u0103m s\u00e1u m\u01b0\u01a1i ngh\u00ecn.\nAgent: D\u1ea1 v\u1eady l\u00e0 ba tr\u0103m s\u00e1u m\u01b0\u01a1i ngh\u00ecn \u0111\u00fang kh\u00f4ng \u1ea1?",
"length": 1633,
"turns": 23
}
✓
AI_EXTRACTION
1m 48s
22/09 08:47
▸ Input
{
"model": "deepseek-v4.1-flash: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 Nguy\u1ec5n B\u00e1 H\u1ec7 \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 toyota vios 2018 \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: \u00c0.\nAgent: D\u1ea1 anh cho em h\u1ecfi...\nClient: Ch\u00fa \u01a1i!\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i t\u00edn hi\u1ec7u h\u01a1i ch\u1eadp ch\u1eddn n\u00ean em ch\u01b0a nghe k\u1ecbp \u1ea1, anh n\u00f3i l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: V\u00e2ng, xin em nh\u1ec9? \u0110\u00fang r\u1ed3i.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin l\u1ed7i anh do t\u00edn hi\u1ec7u m\u1ea1ng v\u1eeba r\u1ed3i h\u01a1i ch\u1eadp ch\u1eddn \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 vay em.\nAgent: D\u1ea1 v\u1eady l\u00e0 xe m\u00ecnh v\u1eabn c\u00f2n \u0111ang vay g\u00f3p ng\u00e2n h\u00e0ng, \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Kh\u00f4ng, kh\u00f4ng, kh\u00f4ng.\nAgent: D\u1ea1 v\u1eady l\u00e0 xe m\u00ecnh hi\u1ec7n kh\u00f4ng c\u00f2n vay g\u00f3p ng\u00e2n h\u00e0ng n\u1eefa, \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: \u0110\u00fang r\u1ed3i, \u0111\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 t\u00e1m ph\u1ea3i kh\u00f4ng anh?\nClient: Ch\u01b0a c\u00f3 \u1ea1.\nAgent: D\u1ea1 em xin l\u1ed7i anh, \u0111o\u1ea1n r\u1ed3i t\u00edn hi\u1ec7u h\u01a1i ch\u1eadp ch\u1eddn n\u00ean em ch\u01b0a nghe k\u1ecbp \u1ea1, anh n\u00f3i l\u1ea1i gi\u00fap em v\u1edbi \u1ea1?\nClient: \u1eeam, 2018.\nAgent: D\u1ea1 em nghe r\u1ea5t r\u00f5 r\u1ed3i \u1ea1, em xin l\u1ed7i anh do t\u00edn hi\u1ec7u m\u1ea1ng v\u1eeba r\u1ed3i h\u01a1i ch\u1eadp ch\u1eddn \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: H\u00e0 \u0110\u00f4ng nha.\nAgent: D\u1ea1 em ghi nh\u1eadn l\u00e0 H\u00e0 \u0110\u00f4ng \u1ea1. D\u1ea1 em th\u1ea5y xe \u0111\u00e3 ch\u1ea1y kho\u1ea3ng ba m\u01b0\u01a1i s\u00e1u ngh\u00ecn kilomet, \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Qu\u1eadn 9, H\u00e0 N\u1ed9i \u1ea1. D\u1ea1. 320 ng\u00e0n.\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 hai m\u01b0\u01a1i ngh\u00ecn \u0111\u00fang kh\u00f4ng \u1ea1?\nClient: Ba tr\u0103m s\u00e1u m\u01b0\u01a1i ngh\u00ecn.\nAgent: D\u1ea1 v\u1eady l\u00e0 ba tr\u0103m s\u00e1u m\u01b0\u01a1i ngh\u00ecn \u0111\u00fang kh\u00f4ng \u1ea1?"
}
▸ Output
{
"asking_price": "CH\u01afA R\u00d5",
"car_history": "CH\u01afA R\u00d5",
"fee_confirmed": "FALSE",
"info_score": 0,
"intention": "SLOW",
"is_closing": true,
"is_owner": "CH\u01afA R\u00d5",
"is_silent": false,
"loan": "CH\u01afA R\u00d5",
"location": "CH\u01afA R\u00d5",
"odo": "CH\u01afA R\u00d5",
"sale_reason": "CH\u01afA R\u00d5",
"status": "FAILED",
"summary": "",
"year": "CH\u01afA R\u00d5",
"zalo_status": "CH\u01afA R\u00d5"
}
✓
SLACK_POST
755ms
22/09 08:47
▸ Input
{
"sales_slack_id": "U0C1C7M033Q",
"sku": "SKU-SSDBC8",
"status": "FAILED",
"summary": ""
}
▸ Output
{
"posted": true,
"thread_ts": "1790040888.583729"
}
✓
CRM_APIS
319ms
22/09 08:47
✓
CRM_ACTIVITIES
171ms
22/09 08:47
✓
SLACK_AUDIO
5.4s
22/09 08:47
✓
UPDATE_CLOSING
178ms
22/09 08:47
{
"is_closing": true,
"is_silent": false
}
Transcript
Agent: “Dạ alo, cho em hỏi có phải anh Nguyễn Bá Hệ đang nghe máy không ạ? Em là Mỹ Linh bên Vu-Ca, gọi hỗ trợ mình bán xe toyota vios 2018 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: À. Agent: Dạ anh cho em hỏi... Client: Chú ơi! Agent: Dạ em xin lỗi anh, đoạn rồi tín hiệu hơi chập chờn nên em chưa nghe kịp ạ, anh nói lại giúp em với ạ? Client: Vâng, xin em nhỉ? Đúng rồi. Agent: Dạ em nghe rất rõ rồi ạ, em xin lỗi anh do tín hiệu mạng vừa rồi hơi chập chờn ạ. Dạ xe mình hiện có còn vay góp ngân hàng không ạ? Client: Còn vay em. Agent: Dạ vậy là xe mình vẫn còn đang vay góp ngân hàng, đúng không ạ? Client: Không, không, không. Agent: Dạ vậy là xe mình hiện không còn vay góp ngân hàng nữa, đúng không ạ? Client: Đúng rồi, đúng rồi. Agent: Dạ em ghi nhận ạ. Dạ cho em xác nhận lại xe mình là đời sản xuất năm hai không mười tám phải không anh? Client: Chưa có ạ. Agent: Dạ em xin lỗi anh, đoạn rồi tín hiệu hơi chập chờn nên em chưa nghe kịp ạ, anh nói lại giúp em với ạ? Client: Ừm, 2018. Agent: Dạ em nghe rất rõ rồi ạ, em xin lỗi anh do tín hiệu mạng vừa rồi hơi chập chờn ạ. Dạ em thấy địa chỉ của anh ở Hà Nội, không biết cụ thể mình ở quận nào ạ? Client: Hà Đông nha. Agent: Dạ em ghi nhận là Hà Đông ạ. Dạ em thấy xe đã chạy khoảng ba mươi sáu nghìn kilomet, đúng không ạ? Client: Quận 9, Hà Nội ạ. Dạ. 320 ngàn. 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 hai mươi nghìn đúng không ạ? Client: Ba trăm sáu mươi nghìn. Agent: Dạ vậy là ba trăm sáu mươi nghìn đúng không ạ?