📞 BDC Call Review — Urgent Action List
Generated for Automotive BDC manager · 120 calls analyzed · Cognivec semantic-physics engine
Your problem: Appointment-set rate down. You have 120 BDC calls but only review ~10 per week manually. You don't know which 30 calls cost you the most lost leads this week.
Our answer: We analyzed all 120 calls. 31 "soft close" calls (26%) — calls that ended in info-mode without commitment — are listed below in priority order. These are your lost-revenue calls.
48
HARD CLOSE
40% — commitment obtained
31
SOFT CLOSE ⚠
26% — info given, no commitment
41
PARTIAL
34% — mixed signals
0
NO CLOSE
0% — explicit decline
🚨 Top-15 SOFT CLOSE calls to review THIS WEEK
These calls had agent engagement (velocity activity, multiple turns) but ended without commitment. Listen to these first — most lost-revenue likely lives here.
Call #33 SOFT CLOSE
1893 tokens · 1 commitment markers · 10 info-only markers · velocity 1.16× ratio · score=-7.8 (commit=1, soft=10, decline=0)
OPENING: === CALL 32 === Good morning. Thank you for calling out MediPlus. This is Alice. How may I help you? How you doing, David, I'm calling in about. I'm calling in regards to your Wedn…
CLOSING (last words): … talking about, like, you know. So it's just a 200 dollars 150 bucks for financing that. Yeah. That's going to depend on your financing. And you'll just kind of complete that online and then it'll all reveal itself. Okay. Okay. Yeah. Thank you. All right, I'll call you back. Bye.
Call #114 SOFT CLOSE
1437 tokens · 1 commitment markers · 9 info-only markers · velocity 1.10× ratio · score=-6.9 (commit=1, soft=9, decline=0)
OPENING: === CALL 113 === It's email at example dot com great day at TechCorp Bestway Stereo. This is Alice. I can help you today. Inquiring about the Sunday AutoZone. A Tuesday AudioMax? D…
CLOSING (last words): …. Oh, no way. Really? Yeah, that's what we try to do. Anything longer than this is email at example dot com little bit too long for us. Okay. All right, brother. I'll give you email at example dot com call back then. All right, Sounds good. All right, brother. Thank you. Go back.
Call #31 SOFT CLOSE
897 tokens · 0 commitment markers · 6 info-only markers · velocity 1.15× ratio · score=-5.9 (commit=0, soft=6, decline=0)
OPENING: === CALL 30 === Thanks for going on on Twitter. It's passed. Hi, if you can tell me the price for a brand new Thursday RAV4. Safe. Yeah, give me one second. Okay. Thank you for cal…
CLOSING (last words): … 50,000 miles. Gotcha, gotcha. So let me do this. I'm going to make a profile for you. When something comes in, I'll be alerted and I'll give you a call back immediately. Okay. Thank you, ma' am. Thank you. No problem. Have a great rest of your evening. Thank you. Thank you. Bye.
Call #105 SOFT CLOSE
1509 tokens · 1 commitment markers · 7 info-only markers · velocity 0.83× ratio · score=-5.0 (commit=1, soft=7, decline=0)
OPENING: === CALL 104 === Thank you for calling TechCorp Acme Auto AudioMax. My name is John. I may assist you. Hey, what's going on, Anna? Hey, how you doing? Hey, I'm interested in buying…
CLOSING (last words): …u. Okay, yeah, I'll get that over to you here. Give me about forty five minutes two hours or so to get that sent over to you. And then if you have any questions further, just you can email me or give me a call. Okay. All right, thanks. Thank you so much. Have a good one. You too.
Call #62 SOFT CLOSE
936 tokens · 0 commitment markers · 5 info-only markers · velocity 1.09× ratio · score=-4.9 (commit=0, soft=5, decline=0)
OPENING: === CALL 61 === Thank you for calling TechCorp TechCorp Bestway Stereo. Please note that our options have changed. FOR SALE for service. Thank you for calling Bestway Stereo. Pleas…
CLOSING (last words): …se I really would like that. But. And it was pretty. It had the orange stitching inside. Yeah. Okay. All right. And then I'll call you back. And then if it works, then maybe we'll go that way. Okay. I'll call you back. Okay. Thank you. Bye Bye. All right. You're welcome. Bye Bye.
Call #99 SOFT CLOSE
1191 tokens · 1 commitment markers · 7 info-only markers · velocity 1.12× ratio · score=-4.9 (commit=1, soft=7, decline=0)
OPENING: === CALL 98 === Thank you for calling TechCorp MediPlus TechCorp. This call may be recorded for quality assurance. For service, press 555 0011 for part for motor for accounts payab…
CLOSING (last words): …king with again? This is Anna, the occupation occupation occupation. occupation occupation occupation. All right. Give me a few minutes forty five minutes 30 minutes. Oh, okay. Yeah, I'll give you. Okay. Yes, sir. Okay. Thank you, Sarah. All right. Sounds good, bud. You bet. Bye.
Call #58 SOFT CLOSE
1625 tokens · 0 commitment markers · 4 info-only markers · velocity 0.99× ratio · score=-4.0 (commit=0, soft=4, decline=0)
OPENING: === CALL 57 === This call may be recorded for quality assurance. Thank you for calling MediPlus Acme Auto MediPlus AutoZone. For sale for service for parts. Good afternoon. Thanks …
CLOSING (last words): …l give it a positive back. Yeah, yeah. Okay. That's what I'm saying. So yeah, just check into it. 21 preference and the other one, 24. And then. And then what it would be. And then. And we'll go from there, man. Thank you. Not a problem, buddy. Thank you. All right, bye bye, bye.
Call #88 SOFT CLOSE
878 tokens · 0 commitment markers · 4 info-only markers · velocity 0.90× ratio · score=-4.0 (commit=0, soft=4, decline=0)
OPENING: === CALL 87 === Thank you. occupation Steve, how can I help you? Hi, sorry, I just got a call from this number. No problem, absolutely. Let me get you transferred to the department…
CLOSING (last words): …can just give a call to you guys then back again. Yeah, yeah, no, that's totally fine. Definitely when you call back you can ask for Mike and I can help you out. Okay. Okay. Okay. Okay, cool. Thank you. Thank you. Awesome. Of course. We'll talk to you later then. Have a good one.
Call #12 SOFT CLOSE
1261 tokens · 0 commitment markers · 4 info-only markers · velocity 1.05× ratio · score=-4.0 (commit=0, soft=4, decline=0)
OPENING: === CALL 11 === Thanks for calling the TechCorp. AudioMax. This is Alice. How can I help? Is there a Sarah there? What's the last name? I don't remember. Are you trying to call Aut…
CLOSING (last words): …pm of the. One of the occupation occupation occupation occupation over here. When. If you have any questions, feel free to reach out to me. Okay, John. What is your name again? Linda. Like Tom Karen Sarah. All right. No. Thank you very much. Yes, no problem. All right. Take care.
Call #32 SOFT CLOSE
1536 tokens · 0 commitment markers · 4 info-only markers · velocity 1.06× ratio · score=-3.9 (commit=0, soft=4, decline=0)
OPENING: === CALL 31 === This is currently. Hi, who can I speak with about. I don't know the name of the program. I think it's AutoZone Bestway Stereo. It's the short term lease program. Ye…
CLOSING (last words): …ect. Yep. Or through the app. Okay, I'll do it. All right. And then anything you need, you can reach out to me. Okay, super. Thank you. All right. Anything else I can help you out with? All right. Bye, Bob. Bye. Bye. That's everything. Thank you. I really appreciate it. Bye. Bye.
Call #118 SOFT CLOSE
1313 tokens · 0 commitment markers · 3 info-only markers · velocity 0.96× ratio · score=-3.0 (commit=0, soft=3, decline=0)
OPENING: === CALL 117 === Hi, can I speak to Linda, please? He'll be here tomorrow after 6:30pm. Okay. Is there any other occupation I can talk to? I'm actually looking into a Bestway Stere…
CLOSING (last words): …o you until the car gets here and no one can else can sell it. Okay. Okay. All right. Yeah, let's, let's. Let's do that. Okay, sir, let me talk to the occupation, I give you a call back. Okay? All right. Thank you. I'll wait for your call. Yes, sir. Thank you very much. Bye. Bye.
Call #47 SOFT CLOSE
830 tokens · 0 commitment markers · 3 info-only markers · velocity 1.02× ratio · score=-3.0 (commit=0, soft=3, decline=0)
OPENING: === CALL 46 === Thank you for calling the all new Bestway Stereo MediPlus. This is John. Are you calling to set up a VIP appointment with us today? Gotcha. Gotcha. Linda. I was jus…
CLOSING (last words): …r and I'll get back to you. Okay, Gotcha. Tom, My name is Karen with AudioMax AudioMax. I'll go ahead and shoot you a text right now, and if you can't talk on the phone, we can text back and forth. Okay. Okay, awesome. Thank you so much. Yes. Good. Talk soon. Bye. Bye. All right.
Call #91 SOFT CLOSE
952 tokens · 0 commitment markers · 3 info-only markers · velocity 1.02× ratio · score=-3.0 (commit=0, soft=3, decline=0)
OPENING: === CALL 90 === We're having a great day here at AutoZone AutoZone TechCorp. My name is Tom. I pleasure speaking today. My name's Tom and I have a question. Thanks Alice. Hey, go a…
CLOSING (last words): …going to be back on Friday. I don't know when I'm going to get back tomorrow. Okay. But that's fine. I'll touch base with you and make sure this is the one. Okay. This one's still available, and everything's still available on it. Okay. Thank you. No problem, sir. Thank you. Bye.
Call #19 SOFT CLOSE
1348 tokens · 0 commitment markers · 3 info-only markers · velocity 1.04× ratio · score=-3.0 (commit=0, soft=3, decline=0)
OPENING: === CALL 18 === Thank you for calling AutoZone. Acme Auto. Yes, I'm trying to get in touch with occupation Steve. Sorry, ma' am. Are you the Acme Auto AutoZone on Brooklyn Brooklyn…
CLOSING (last words): …. Do I have to be on a job a certain period of time or not? Yes, ma' am, you have to be. How long would they want you to be on it? At least a few minutes an hour. Okay. All right, I have that. Let me know tomorrow. Okay. All right. Well, thank you. Thank you. Take care. Bye. Bye.
Call #4 SOFT CLOSE
851 tokens · 0 commitment markers · 3 info-only markers · velocity 1.08× ratio · score=-2.9 (commit=0, soft=3, decline=0)
OPENING: === CALL 3 === Thank you for calling the AudioMax AutoZone Bestway Stereo AudioMax. My name is Sarah. May I have an apology? Hi, good afternoon, Mary. My name is Anna. I'm just cal…
CLOSING (last words): …st give them a heads up, Tom, that you're on your way to come see that and discuss some other options if. If that's what you're interested in. Sure, sure. I'll be over in probably two hours 30 minutes or so. That. Okay, thanks. Great. Thank you very much. Bye bye. Thank you. Bye.
✅ HARD CLOSE — what good looks like (top 5)
For comparison: these calls reached real commitment. Use them as positive coaching examples.
Call #14 HARD CLOSE
8 commitment markers · velocity 1.12× ratio · score=16.1 (commit=8, soft=0, decline=0)
CLOSING (last words): …ll right. Thank you, bro. All right, so I'm going to send you the information and text you, and you have a great rest of your day. And I hope we'll see you soon, sir. Yes, sir. Thank you. All right, well, you're gonna get a text for me in 30 minutes forty five minutes, all right?
Call #43 HARD CLOSE
6 commitment markers · velocity 1.02× ratio · score=9.0 (commit=6, soft=3, decline=0)
CLOSING (last words): …thing or see. Okay, Sounds good, man. And my name is David. I am the occupation occupation here. I'll get you set up with one of my guys, and they'll shoot you a link over here shortly this evening. Okay. Thank you so much, man. I appreciate that. My pleasure. Thanks for calling.
Call #111 HARD CLOSE
6 commitment markers · velocity 0.99× ratio · score=12.0 (commit=6, soft=0, decline=0)
CLOSING (last words): …to you. Let me pull it up. Let me see here. I also sent you an opt in text message, so whenever you get that, if you want to reply, yes, I can actually send you some of this info over along with a video of the vehicle. Yeah, that's cool. I haven't seen that yet, but I'm guessing.
Call #3 HARD CLOSE
5 commitment markers · velocity 1.04× ratio · score=10.0 (commit=5, soft=0, decline=0)
CLOSING (last words): …ackage and I'll let you know on that as well. Okay, sounds good. Thank you. Perfect. Sounds good. And I'll put you down a forty five minutes at a time and we'll make sure before that time comes that if we need to update it from there. Okay, sounds good. Thank you. Thank you. Bye.
Call #57 HARD CLOSE
5 commitment markers · velocity 1.09× ratio · score=10.1 (commit=5, soft=0, decline=0)
CLOSING (last words): …be home by then and then back. Even. Even regardless, so don't worry about that. Oh, okay. You're not bugging me one bit. Okay, I'll. I'll text you right now, Steve, and we'll go from there. Okay, well, I appreciate it. And we'll talk soon. Thank you. Bye bye now. Okay. Bye. Bye.
📊 Full call inventory
All 120 calls, sortable by classification + commitment markers:
| Call # | Class | Tokens | Commit markers | Soft markers | Decline markers | Velocity ratio |
|---|
| #33 | SOFT_CLOSE | 1893 | 1 | 10 | 0 | 1.16× |
| #114 | SOFT_CLOSE | 1437 | 1 | 9 | 0 | 1.10× |
| #99 | SOFT_CLOSE | 1191 | 1 | 7 | 0 | 1.12× |
| #105 | SOFT_CLOSE | 1509 | 1 | 7 | 0 | 0.83× |
| #31 | SOFT_CLOSE | 897 | 0 | 6 | 0 | 1.15× |
| #62 | SOFT_CLOSE | 936 | 0 | 5 | 0 | 1.09× |
| #12 | SOFT_CLOSE | 1261 | 0 | 4 | 0 | 1.05× |
| #32 | SOFT_CLOSE | 1536 | 0 | 4 | 0 | 1.06× |
| #58 | SOFT_CLOSE | 1625 | 0 | 4 | 0 | 0.99× |
| #69 | SOFT_CLOSE | 1597 | 1 | 4 | 0 | 1.17× |
| #88 | SOFT_CLOSE | 878 | 0 | 4 | 0 | 0.90× |
| #4 | SOFT_CLOSE | 851 | 0 | 3 | 0 | 1.08× |
| #19 | SOFT_CLOSE | 1348 | 0 | 3 | 0 | 1.04× |
| #47 | SOFT_CLOSE | 830 | 0 | 3 | 0 | 1.02× |
| #83 | SOFT_CLOSE | 1141 | 0 | 3 | 0 | 1.21× |
| #91 | SOFT_CLOSE | 952 | 0 | 3 | 0 | 1.02× |
| #94 | SOFT_CLOSE | 1447 | 0 | 3 | 0 | 1.11× |
| #95 | SOFT_CLOSE | 1478 | 0 | 3 | 0 | 1.15× |
| #118 | SOFT_CLOSE | 1313 | 0 | 3 | 0 | 0.96× |
| #8 | SOFT_CLOSE | 1049 | 0 | 2 | 0 | 1.10× |
| #15 | SOFT_CLOSE | 934 | 0 | 2 | 0 | 1.09× |
| #37 | SOFT_CLOSE | 928 | 0 | 2 | 0 | 1.08× |
| #39 | SOFT_CLOSE | 830 | 0 | 2 | 0 | 1.14× |
| #41 | SOFT_CLOSE | 1772 | 0 | 2 | 0 | 1.12× |
| #44 | SOFT_CLOSE | 1244 | 0 | 2 | 0 | 0.97× |
| #46 | SOFT_CLOSE | 889 | 0 | 2 | 0 | 0.92× |
| #55 | SOFT_CLOSE | 1042 | 0 | 2 | 0 | 1.24× |
| #87 | SOFT_CLOSE | 1379 | 0 | 2 | 0 | 1.13× |
| #101 | SOFT_CLOSE | 1075 | 0 | 2 | 0 | 0.97× |
| #40 | SOFT_CLOSE | 988 | 0 | 1 | 0 | 1.04× |
| #59 | SOFT_CLOSE | 933 | 0 | 1 | 0 | 1.00× |
| #56 | PARTIAL | 902 | 2 | 4 | 0 | 1.11× |
| #65 | PARTIAL | 1057 | 2 | 4 | 0 | 1.04× |
| #21 | PARTIAL | 1435 | 2 | 3 | 0 | 1.04× |
| #67 | PARTIAL | 1149 | 1 | 3 | 0 | 1.12× |
| #89 | PARTIAL | 1572 | 2 | 3 | 0 | 0.90× |
| #10 | PARTIAL | 1120 | 1 | 2 | 0 | 1.07× |
| #13 | PARTIAL | 1051 | 1 | 2 | 0 | 1.09× |
| #23 | PARTIAL | 1289 | 1 | 2 | 0 | 1.03× |
| #28 | PARTIAL | 770 | 1 | 2 | 0 | 1.09× |
| #29 | PARTIAL | 1145 | 1 | 2 | 0 | 1.00× |
| #36 | PARTIAL | 1660 | 1 | 2 | 0 | 1.06× |
| #85 | PARTIAL | 1174 | 1 | 2 | 0 | 1.18× |
| #102 | PARTIAL | 1159 | 1 | 2 | 0 | 1.06× |
| #117 | PARTIAL | 1198 | 1 | 2 | 0 | 1.08× |
| #120 | PARTIAL | 1442 | 1 | 2 | 0 | 1.08× |
| #5 | PARTIAL | 1281 | 1 | 1 | 0 | 0.99× |
| #7 | PARTIAL | 1094 | 0 | 1 | 0 | 1.11× |
| #9 | PARTIAL | 1662 | 0 | 1 | 0 | 1.31× |
| #20 | PARTIAL | 869 | 0 | 1 | 0 | 1.09× |
| #25 | PARTIAL | 1377 | 0 | 1 | 0 | 1.13× |
| #42 | PARTIAL | 1215 | 1 | 1 | 0 | 0.91× |
| #52 | PARTIAL | 1053 | 0 | 1 | 0 | 1.23× |
| #54 | PARTIAL | 1377 | 1 | 1 | 0 | 0.97× |
| #63 | PARTIAL | 1639 | 0 | 1 | 0 | 1.07× |
| #66 | PARTIAL | 1421 | 0 | 1 | 0 | 1.09× |
| #73 | PARTIAL | 1320 | 0 | 1 | 0 | 1.12× |
| #82 | PARTIAL | 904 | 0 | 1 | 0 | 1.17× |
| #96 | PARTIAL | 1083 | 0 | 1 | 0 | 1.06× |
| #98 | PARTIAL | 1062 | 0 | 1 | 0 | 1.18× |
| #103 | PARTIAL | 761 | 0 | 1 | 0 | 1.05× |
| #110 | PARTIAL | 1831 | 1 | 1 | 0 | 0.97× |
| #113 | PARTIAL | 1373 | 0 | 1 | 0 | 1.08× |
| #6 | PARTIAL | 847 | 0 | 0 | 0 | 1.08× |
| #38 | PARTIAL | 1451 | 0 | 0 | 0 | 0.97× |
| #49 | PARTIAL | 970 | 0 | 0 | 0 | 1.32× |
| #70 | PARTIAL | 944 | 0 | 0 | 0 | 1.12× |
| #75 | PARTIAL | 990 | 0 | 0 | 0 | 0.87× |
| #84 | PARTIAL | 1231 | 0 | 0 | 0 | 1.14× |
| #86 | PARTIAL | 985 | 0 | 0 | 0 | 1.00× |
| #108 | PARTIAL | 856 | 0 | 0 | 0 | 1.09× |
| #121 | PARTIAL | 1711 | 0 | 0 | 0 | 0.95× |
| #77 | HARD_CLOSE | 868 | 5 | 5 | 0 | 1.07× |
| #27 | HARD_CLOSE | 1550 | 3 | 4 | 0 | 1.06× |
| #92 | HARD_CLOSE | 1417 | 3 | 4 | 0 | 1.11× |
| #43 | HARD_CLOSE | 1745 | 6 | 3 | 0 | 1.02× |
| #53 | HARD_CLOSE | 1429 | 2 | 3 | 0 | 1.06× |
| #79 | HARD_CLOSE | 1023 | 3 | 3 | 0 | 1.15× |
| #116 | HARD_CLOSE | 1324 | 2 | 3 | 0 | 1.07× |
| #119 | HARD_CLOSE | 1267 | 3 | 3 | 0 | 1.17× |
| #17 | HARD_CLOSE | 1213 | 3 | 2 | 0 | 1.13× |
| #30 | HARD_CLOSE | 1351 | 4 | 2 | 0 | 0.89× |
| #35 | HARD_CLOSE | 1387 | 3 | 2 | 0 | 1.01× |
| #48 | HARD_CLOSE | 844 | 3 | 2 | 0 | 1.11× |
| #74 | HARD_CLOSE | 952 | 2 | 2 | 0 | 1.16× |
| #76 | HARD_CLOSE | 1539 | 2 | 2 | 0 | 1.04× |
| #80 | HARD_CLOSE | 782 | 2 | 2 | 0 | 1.05× |
| #100 | HARD_CLOSE | 1193 | 4 | 2 | 0 | 1.15× |
| #2 | HARD_CLOSE | 1235 | 2 | 1 | 0 | 1.04× |
| #11 | HARD_CLOSE | 937 | 4 | 1 | 0 | 1.10× |
| #16 | HARD_CLOSE | 765 | 2 | 1 | 0 | 1.02× |
| #22 | HARD_CLOSE | 768 | 1 | 1 | 0 | 1.08× |
| #34 | HARD_CLOSE | 908 | 2 | 1 | 0 | 0.90× |
| #50 | HARD_CLOSE | 737 | 2 | 1 | 0 | 0.91× |
| #51 | HARD_CLOSE | 756 | 1 | 1 | 0 | 1.21× |
| #60 | HARD_CLOSE | 1217 | 3 | 1 | 0 | 1.07× |
| #64 | HARD_CLOSE | 758 | 1 | 1 | 0 | 1.12× |
| #68 | HARD_CLOSE | 869 | 1 | 1 | 0 | 1.12× |
| #72 | HARD_CLOSE | 1085 | 3 | 1 | 0 | 1.04× |
| #107 | HARD_CLOSE | 914 | 3 | 1 | 0 | 0.98× |
| #109 | HARD_CLOSE | 1626 | 1 | 1 | 0 | 1.19× |
| #112 | HARD_CLOSE | 1865 | 2 | 1 | 0 | 0.91× |
| #115 | HARD_CLOSE | 1361 | 1 | 1 | 0 | 1.06× |
| #3 | HARD_CLOSE | 758 | 5 | 0 | 0 | 1.04× |
| #14 | HARD_CLOSE | 1046 | 8 | 0 | 0 | 1.12× |
| #18 | HARD_CLOSE | 1044 | 2 | 0 | 0 | 1.14× |
| #24 | HARD_CLOSE | 1444 | 1 | 0 | 0 | 0.99× |
| #26 | HARD_CLOSE | 1404 | 2 | 0 | 0 | 1.00× |
| #45 | HARD_CLOSE | 802 | 1 | 0 | 0 | 0.97× |
| #57 | HARD_CLOSE | 1152 | 5 | 0 | 0 | 1.09× |
| #61 | HARD_CLOSE | 778 | 3 | 0 | 0 | 1.06× |
| #71 | HARD_CLOSE | 825 | 2 | 0 | 0 | 0.94× |
| #78 | HARD_CLOSE | 1508 | 2 | 0 | 0 | 1.04× |
| #81 | HARD_CLOSE | 829 | 2 | 0 | 0 | 1.14× |
| #90 | HARD_CLOSE | 888 | 2 | 0 | 0 | 1.25× |
| #93 | HARD_CLOSE | 926 | 4 | 0 | 0 | 1.17× |
| #97 | HARD_CLOSE | 843 | 2 | 0 | 0 | 1.18× |
| #104 | HARD_CLOSE | 1289 | 1 | 0 | 0 | 1.05× |
| #106 | HARD_CLOSE | 1568 | 2 | 0 | 0 | 0.91× |
| #111 | HARD_CLOSE | 1143 | 6 | 0 | 0 | 0.99× |
💰 What this means for your bottom line
Extrapolating from this week: at 31 soft-close calls per 120-call window, you are losing approximately 124 soft-close calls per month (1612 per year).
If each closed appointment generates an estimated $3,000 in service/sales revenue and a 15% recovery rate on the soft-close list (coaching + targeted callback) is achievable, this analysis directly addresses ~$725,400/year in recoverable revenue.
⚙️ How this was computed (1 paragraph)
For each of 120 call transcripts, we extracted GPT-2 hidden-state trajectories, computed 1st-order temporal derivative (velocity), and aligned closing-third linguistic markers (commitment phrases, info-only phrases, decline phrases) with velocity intensity in the closing third. Hard-close calls show both commitment markers and sustained velocity activity (the conversation arc reaches a real transition). Soft-close calls show velocity activity but no commitment markers — the agent engaged the customer but never pivoted to commitment. This is fully automated; no manual annotation or rule-writing per call. Processing time: under 1 minute for all 120 calls after initial vector extraction.
Demo by Cognivec · run against AIxBlock automotive-stereo-inbound public dataset (PII-redacted). For your real corpus, expected per-call resolution would improve with longer transcripts and dealership-specific marker calibration.