ChatGPT has moved past the experimental phase in supply chain operations. Teams now use it daily for meeting prep, risk thinking, data interpretation and routine tasks. Supply Chain 24/7 Editorial Director Andy Gray compiled 40 prompts being used across the industry.
Teams getting the most value follow three rules: provide context, specify the desired output format, and treat responses as first drafts. For example, "help with inventory" yields little, but "we hold 45 days of safety stock and lead times jumped from 8 to 12 weeks, what should I worry about?" delivers actionable insight.
The prompts span 10 functional areas. Demand planners test seasonality patterns, port closure scenarios and Q4 forecast alternatives. Inventory and warehouse teams probe stockout risk, slow-moving SKU plans and reasons for outbound cutoff misses. Transportation teams build carrier scorecards, RFP question lists and spot-vs-contract rate comparisons.
Procurement prompts cover single-supplier dependency, supplier review agendas and scorecards combining quality, lead time and financial risk. Customer service teams draft empathetic delay responses and translate return policies into plain language. Sustainability teams use ChatGPT to explain Scope 3 emissions and request supplier certifications.
Gray emphasizes ChatGPT is a thinking partner, not a final answer. Output requires human judgment, but it delivers clear speed gains in preparation and communication workflows.
Key Takeaways:
1. ChatGPT has become part of daily operational productivity for supply chain teams.
2. Three rules drive value: give context, specify format, treat output as a first draft.
3. Prompts cover 10 functional areas including demand planning, inventory, transport, procurement and customer service.
4. Procurement teams use it for supplier risk reviews, scorecards and meeting agendas.
5. Output should always be filtered through human judgment but delivers clear speed gains in prep and communication.
