AI · AI model
sales-conversion-model-reinf-learning
Reinforcement learning model predicting turn-by-turn sales conversion probability from transcripts
This open-source model uses Proximal Policy Optimization (PPO) via Stable Baselines3 to predict sales conversion probabilities turn-by-turn during customer conversations. By combining text embeddings with LLM-derived dynamic metrics like customer engagement, it delivers real-time probability estimates in roughly 85ms. It is designed to be embedded in CRM tools, sales coaching pipelines, or live representative assistants.
What it's for
- Predict conversion probability turn-by-turn during live sales conversations
- A/B test different sales script responses to see which yields higher conversion odds
- Analyze historical call transcripts to coach sales representatives on objection handling
- Trigger real-time coaching suggestions when customer engagement scores drop
Features
- Turn-by-turn continuous probability tracking from 0 to 1
- Fast 85ms inference speed suitable for real-time live assistance
- Dynamic LLM-derived metrics for engagement and sales effectiveness
- Compatible with open-source embeddings (BAAI/bge-m3) and Azure OpenAI embeddings
- PPO reinforcement learning architecture built on Stable Baselines3
- Integration via the deepmost Python library
Pricing
Open source
Details
- Type
- AI model
- Category
- AI
- Topic
- Conversation Intelligence
- Open source
- Yes
- Platforms
- Linux, macOS, Windows, Code library
- For
- ML engineers, sales enablement teams, and CRM developers building conversation intelligence tools.
- Alternative to
- Gong, Chorus by ZoomInfo
- Tags
- reinforcement learning, sales, conversion prediction, nlp, stable baselines3, ppo
Why it was saved
- @prestonrhodes: Enables sales reps and CRM tools to track conversation sentiment and real-time likelihood of closing a deal, reporting up to 96.7% accuracy and a 43.2% increase in conversion rates in benchmarks.
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