Accelerate Creation of Product Claims Using Generative AI
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Abstract (arXiv)
The benefit claims of a product is a critical driver of consumers' purchase behavior. Creating product claims is an intense task that requires substantial time and funding. We have developed the Claim Advisor web application to accelerate claim creations using in-context learning and fine-tuning of large language models (LLM). Claim Advisor was designed to disrupt the speed and economics of claim search, generation, optimization, and simulation. It has three functions: (1) semantically searching and identifying existing claims and/or visuals that resonate with the voice of consumers; (2) generating and/or optimizing claims based on a product description and a consumer profile; and (3) ranking generated and/or manually created claims using simulations via synthetic consumers. Applications in a consumer packaged goods (CPG) company have shown very promising results. We believe that this capability is broadly useful and applicable across product categories and industries. We share our learning to encourage the research and application of generative AI in different industries.
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References · 6
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
- 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,883
- 2021Calibrate Before Use: Improving Few-Shot Performance of Language Modelscited by 1,371
- 2022Pretrained Language Models for Text Generation: A Surveycited by 121
- 2023Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativitycited by 23
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