Unlock Agility with Service Investment Strategies
Times are changing, and fast. Today is different from yesterday and tomorrow will be different from today. Your plan that’s spot on this morning might be off by tonight. In a world of chaos, even the best-laid inventory strategies can fall short.
But what if you could ditch static, one-size-fits-all service levels for a living, always-on approach that constantly balances inventory investments with customer promises?
In this story-driven session, you’ll see how Oliver, a forward-thinking planner, uses Manhattan Active® Supply Chain Planning’s Service Investment Strategies to break free from stale safety stock rules. Watch how he simulates trade-offs, adapts to shifting demand signals and constraints, and delivers consistently impressive service levels, all while freeing up working capital.
It’s a glimpse into the future of inventory optimization: smarter, more dynamic, and truly unified.
Speaker
Key Takeaways
- Interactive Simulations: How interactive simulations help balance service levels and inventory costs.
- Agility in action: How always-on policy updates adapt instantly to demand swings and supply chain hiccups.
- Unified advantage: Why embedding service strategies into forecasting, replenishment, and allocation beats bolt-on tools every time.
Date: August 20, 2025
Time: 11:00 AM – 11:30 AM EST
Unified Supply Chain Planning
This is not just an evolution in supply chain planning—it’s a revolution.
Demand Forecasting
A hybrid approach to forecasting that seamlessly blends the power of proven statistical models with cutting-edge AI.
Replenishment
Seamlessly integrates AI-driven insights with real-time data to autonomously optimize inventory levels across all channels, ensuring the right products are always in the right place at the right time, without the need for manual intervention.
Manhattan Active® Platform
Iterating and innovating at top speed, Manhattan Active® Platform is a foundation for supply chain commerce that is cloud native, evergreen, and extensible.