SalesLLM - Multi-Product English (CustomerLM User): leaderboard

Metric: SalesLLM benchmark score (1-10): 0.5 x buying-intent score (end-of-dialogue customer intent from a fine-tuned BERT classifier, five levels mapped to 2, 4, 6, 8, 10) + 0.5 x selling-performance score (0-10 LLM-judge rubric on verbal purchase commitment, concrete next steps, key-information elicitation and objection resolution, credited only on customer-side evidence), on the multi-product SalesLLM scenarios (six persona-matched products per scenario) in English, with CustomerLM as the simulated customer; the model acts as the salesperson for at most 20 rounds at temperature 0.8; higher is better. Source: arxiv.org. Saturation forecast: Around November 2027. 3 models tracked.

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Interactive version: theaggregate.ai/benchmark?slug=salesllm-multi-product-english-customerlm-user · How It Works · Data refreshed daily, snapshot 2026-10-07.