22% increase in on-time supplier performance
Problem:
You automated a few workflows. Maybe invoice processing. Maybe employee onboarding. But the gains have plateaued. Teams still escalate issues manually. Systems don’t talk to each other. Your “automation” feels… mechanical, not intelligent.
Scenario:
Let’s say you're running operations in a retail company. You’ve automated your stock reordering system with basic rules: if stock < X, reorder Y. But real issues still happen—inventory piles up in one store, while another runs out. Why? Because your system lacks intelligence. It doesn’t consider footfall, seasonality, regional trends, or supplier delays.
Insight:
That’s where AI-powered process automation comes in. It doesn’t just execute a task—it understands the context, learns from patterns, and adjusts decisions in real time. This is the leap from automation to intelligent automation.
Example Solution:
Using Shift Technologies Lumyn Agents, the retail client integrated POS data, weather APIs, supplier performance scores, and customer behavior into one AI model. The system now predicts demand per store—before stockouts happen—and adjusts orders dynamically.
Results:
- 40% reduction in stockouts
- 22% increase in on-time supplier performance
- 3x faster decision-making on inventory moves
Discover how AI and intelligent automation are transforming routine tasks into strategic wins — enabling faster decisions, lower costs, and better outcomes.
