Dynamic SKU Naming System Enhancing Retail with AI Integration

Dynamic SKU Naming System

1. Objective

To establish a systematic approach for generating dynamic Stock Keeping Unit (SKU) names using AI naming tools, enhancing inventory management and product identification in retail.

2. Workflow Overview

This workflow outlines the steps to implement an AI-driven SKU naming system, leveraging advanced algorithms to create unique, descriptive, and scalable SKU names.

3. Workflow Steps

Step 1: Data Collection

Gather relevant data from existing inventory, including product attributes such as category, size, color, and brand.

Step 2: Data Preparation

Clean and preprocess the collected data to ensure consistency and accuracy. This may include standardizing product descriptions and categorizing items.

Step 3: AI Tool Selection

Choose appropriate AI-driven tools for SKU generation. Recommended tools include:

• OpenAI’s GPT-3: For generating descriptive and contextually relevant SKU names.
• IBM Watson: For analyzing product attributes and suggesting naming conventions based on trends.
• DataRobot: For predictive modeling to determine optimal SKU configurations.

Step 4: AI Model Training

Train the selected AI models using the prepared data. This involves feeding the models with historical SKU data and product attributes to improve naming accuracy.

Step 5: SKU Generation

Utilize the trained AI models to generate dynamic SKU names. The AI should produce names that reflect product characteristics and are easy to understand.

Step 6: Review and Validation

Establish a review process where generated SKUs are validated by product managers or relevant stakeholders to ensure they meet business standards and naming conventions.

Step 7: Implementation

Integrate the validated SKU names into the inventory management system. Ensure that the new SKUs are properly linked to product listings across all sales channels.

Step 8: Continuous Improvement

Monitor the performance of the dynamic SKU naming system. Collect feedback and make necessary adjustments to the AI models and naming conventions based on sales data and customer feedback.

4. Conclusion

The implementation of a Dynamic SKU Naming System using AI tools can significantly enhance the efficiency of inventory management in retail. By automating the naming process, businesses can ensure consistency, improve product identification, and adapt quickly to market changes.