Causal Predictive Optimization and Generation for Business AI
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866915295981993984 |
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| author | Zhao, Liyang Seton, Olurotimi Reddivari, Himadeep Reddy Jena, Suvendu Zhao, Shadow Kumar, Rachit Wei, Changshuai |
| author_facet | Zhao, Liyang Seton, Olurotimi Reddivari, Himadeep Reddy Jena, Suvendu Zhao, Shadow Kumar, Rachit Wei, Changshuai |
| contents | The sales process involves sales functions converting leads or opportunities to customers and selling more products to existing customers. The optimization of the sales process thus is key to success of any B2B business. In this work, we introduce a principled approach to sales optimization and business AI, namely the Causal Predictive Optimization and Generation, which includes three layers: 1) prediction layer with causal ML 2) optimization layer with constraint optimization and contextual bandit 3) serving layer with Generative AI and feedback-loop for system enhancement. We detail the implementation and deployment of the system in LinkedIn, showcasing significant wins over legacy systems and sharing learning and insight broadly applicable to this field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_09847 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Causal Predictive Optimization and Generation for Business AI Zhao, Liyang Seton, Olurotimi Reddivari, Himadeep Reddy Jena, Suvendu Zhao, Shadow Kumar, Rachit Wei, Changshuai Machine Learning Artificial Intelligence Information Retrieval The sales process involves sales functions converting leads or opportunities to customers and selling more products to existing customers. The optimization of the sales process thus is key to success of any B2B business. In this work, we introduce a principled approach to sales optimization and business AI, namely the Causal Predictive Optimization and Generation, which includes three layers: 1) prediction layer with causal ML 2) optimization layer with constraint optimization and contextual bandit 3) serving layer with Generative AI and feedback-loop for system enhancement. We detail the implementation and deployment of the system in LinkedIn, showcasing significant wins over legacy systems and sharing learning and insight broadly applicable to this field. |
| title | Causal Predictive Optimization and Generation for Business AI |
| topic | Machine Learning Artificial Intelligence Information Retrieval |
| url | https://arxiv.org/abs/2505.09847 |