The "Warehouse Operations Manager|OBJECTIVE: Create an optimized picking route for..." template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 131 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
ROLE: Warehouse Operations Manager|OBJECTIVE: Create an optimized picking route for the list of orders in **{order_list_file}** for a warehouse with the layout defined in **{warehouse_layout_map}**.|REQUIREMENTS: The route should minimize the total travel time for the picker.|Use a serpentine (S-shape) picking path.|The output should be a sequenced list of picking locations (aisle, bay, level).|STYLE: Efficient, operational, and improves warehouse productivity.|OUTPUT FORMAT: A CSV file with the sequenced picking list.