60% Faster Deliveries vs. $200K Lost in ONE DAY: The Supply Chain AI Reality Check"
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Same AI technology. Two retailers. WILDLY different results.
Patricia Gomez (Coastal Goods) -
THE WIN:
✅ Cut delivery times by 60%
✅ Optimized inventory across 12 warehouses
✅ Reduced costs while improving satisfaction
✅ Methodical, data-first implementation
The Other Retailer - THE WARNING:
❌ Rushed AI launch without proper testing
❌ ONE glitch = $200K loss on launch day
❌ System crash during peak hours
❌ Customer trust was shattered instantly
Patricia's golden rule: "Garbage in, garbage out. Spend whatever time and resources you need to clean your data BEFORE the AI ever touches it."
The difference between winning and losing with AI? PREPARATION.
Key takeaways:
- Why pilot testing in low-stakes scenarios is NON-NEGOTIABLE
- The critical importance of clean data
- When to expand (hint: after proven results, not before)
- Why human oversight remains essential
💡 Remember: "Slow implementation that works beats fast implementation that fails EVERY SINGLE TIME."
🎧 Listen now before YOUR next AI deployment!