AI-run carrier sourcing and negotiation corpus

Name: AI-run carrier sourcing and negotiation corpus: outbound voice-call recordings and transcripts from automated agents calling carriers, matched with the quoted buy rate each call produced, plus parallel email and SMS quote threads, load-board responses, the normalised and ranked bid list per load, lane-specific price thresholds and the standard-operating-procedure rules the negotiation ran inside, compliance checks performed on each carrier, and the final booked rate versus the losing quotes.
Creator: LaneSurf

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AI-run carrier sourcing and negotiation corpus: outbound voice-call recordings and transcripts from automated agents calling carriers, matched with the quoted buy rate each call produced, plus parallel email and SMS quote threads, load-board responses, the normalised and ranked bid list per load, lane-specific price thresholds and the standard-operating-procedure rules the negotiation ran inside, compliance checks performed on each carrier, and the final booked rate versus the losing quotes.

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Sample

Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: AlternativePriceSupply Chain

Dataset card

Type: not stated
Format: Multimodal — Audio (AI agent call recordings) and Text (call transcripts, email and SMS threads) paired with structured Tabular bid, lane-threshold, compliance and booking records
Volume: est. tens of thousands of AI-placed carrier calls with transcripts and outcomes alongside hundreds of thousands of normalised bid records since launch, because each load triggers multiple parallel carrier contacts. No volume figure is published
Users: Seed-stage: est. tens of brokerages and third-party logistics firms (inferred from ~14 headcount, $130K seed funding, and an integration-led go-to-market requiring verified connectors per customer)
History: 2 years
Update frequency: not stated
Growth: Active — a broad current service catalogue (AI voice agent, auto-attendant, bid management, less-than-truckload quoting, tracking, rate management) plus a steady stream of dated 2026 resource content indicates active build and go-to-market
Launched: est. 2024-2025 — the company record shows seed-stage funding with founding-engineer and founding go-to-market roles rather than established departments, and the AI voice-agent category itself is recent
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site