GPT4o Inventory Report Test 1

GPT4o Inventory Report Test 1 - Description

Objective:

The purpose of this test is to evaluate the accuracy and efficiency of the GPT4o model in handling inventory-related queries. The test simulates common inventory management scenarios and assesses the model's ability to provide accurate and relevant responses.

Dataset Used for Testing:

The dataset consists of inventory records for various products, including their stock quantities, reorder points, locations, and values across different warehouses.

Test Scenarios:

1. Reorder Evaluation:
   • Example: Determining if it is time to reorder leather wallets when the stock falls below the reorder point.
2. Inventory Location and Quantity:
   • Example: Identifying which products are stored in a specific warehouse and calculating the total stock quantity in the main store location.
3. Inventory Value Calculation:
   • Example: Calculating the total value of inventory in specific warehouses and the value of specific products.
4. Product Information Retrieval:
   • Example: Retrieving the location, stock quantity, unit cost, reorder point, and total value of various products.

Key Findings:

• Accuracy: The model generally performs well in straightforward inventory queries, providing accurate reorder points and stock quantities.
• Complexity Handling: The model struggles with more complex scenarios and vague question terms, resulting in lower accuracy.
• Human Review: Given the potential for up to a 10% error rate, human review of the model's output is recommended for critical inventory management tasks.

Conclusion:

The GPT4o model shows promise in handling basic inventory management queries with a reasonable degree of accuracy. For more complex scenarios, further refinement and human oversight are necessary to ensure the reliability of the results.