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Streamer Sales AI Sales Assistent Lulu Meow 7B
Overview :
Streamer-Sales is an AI Sales Assistant model fine-tuned from InternLM2. It can generate product descriptions based on item characteristics, sparking user purchasing interest. Applicable to both online live selling and offline store promotions, Streamer-Sales can significantly boost sales efficiency and user experience, adding value to brand image. Through intelligent narration, it brings product details and overall effects to life with precision, attracting consumers.
Target Users :
This product is suitable for e-commerce companies, brand merchants, and offline stores looking to boost sales efficiency and enhance user experience. It can help these businesses effectively showcase product features in a smart and engaging way, attracting and retaining consumers.
Use Cases
A certain e-commerce platform used this model to introduce new products during a live stream, resulting in a 20% increase in sales.
An offline clothing store attracted more customers by using the model's narration function.
A cosmetics brand utilized the model to promote on social media, increasing brand exposure.
Features
Generates intelligent product descriptions based on item characteristics, enhancing product attractiveness.
Applicable to both online live streaming and offline stores, expanding sales channels.
Optimizes the shopping experience by real-time adjusting narration strategies based on user feedback and behavior.
Supports custom dataset training to meet diverse product description needs.
Open-source model allows developers to customize and optimize it according to their needs.
How to Use
1. Visit the model page and download the required model files.
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2. Set up the development environment and install necessary dependencies according to the provided tutorials.
3. Prepare or download recommended datasets for model training and testing.
4. Use the xtuner tool for model training and fine-tuning.
5. Deploy the trained model to a web platform or integrate it into an app.
6. Based on the specific sales scenario, adjust the model's narration strategy and parameters.
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