Open-Source RL Model for Predicting Sales Conversion from Conversations
* Company/product identifiers * Conversation messages (JSON) * Customer engagement & sales effectiveness scores (0-1) * Probability trajectory at each turn * Conversation style, flow pattern, and channel
Then I just trained an RL with PPO, by reducing the dimension using a linear layer and using that to do the final prediction with PPO.
Dataset, model, and training script are all open-sourced. Also written an Arxiv paper on it.
Dataset: [https://huggingface.co/datasets/DeepMostInnovations/saas-sales-conversations](https://huggingface.co/datasets/DeepMostInnovations/saas-sales-conversations)
Model, dataset creation, training, and inference: [https://huggingface.co/DeepMostInnovations/sales-conversion-model-reinf-learning](https://huggingface.co/DeepMostInnovations/sales-conversion-model-reinf-learning)
Paper: [https://arxiv.org/abs/2503.23303 ](https://arxiv.org/abs/2503.23303)
Btw, use Python version 10 for inference. Also, I am thinking of using open-source embedding models to create the embedding vectors, but it will take more time. Also I just made a platform on top of this to build agents. It's completely free, https://lexeek.deepmostai.com . You can chat with the agent at https://www.deepmostai.com/ from this website
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