top of page
Search

Why Companies Struggle with Inventory Optimization—And How to Fix It

  • Writer: Diane Jordan
    Diane Jordan
  • Feb 4
  • 2 min read

Inventory optimization is critical for balancing supply and demand, but many companies struggle to get it right. Despite investing in planning tools and strategies, they often face excess stock, stockouts, and unpredictable supply chain disruptions. Why is this such a persistent challenge?


The Common Challenges in Inventory Optimization

  1. Siloed Decision-Making – Many organizations optimize inventory in isolation at each stocking location instead of considering the entire supply chain. This leads to inefficiencies, inflated costs, and inconsistent service levels.

  2. Over-Reliance on Static Safety Stock – Traditional planning models often rely on static safety stock calculations that don’t account for demand variability, supplier reliability, or market disruptions. This results in overstocking or costly shortages.

  3. Lack of Real-Time Visibility – Without access to real-time data and predictive analytics, companies struggle to make informed inventory decisions, leading to slow response times and missed opportunities.

  4. Complexity in Multi-Echelon Networks – Managing inventory across multiple locations, suppliers, and distribution channels requires a coordinated, data-driven approach. Many companies lack the right tools to optimize inventory at multiple levels of the supply chain.


The Solution: Multi-Echelon Inventory Optimization (MEIO)

Multi-Echelon Inventory Optimization (MEIO) is the key to overcoming these challenges. Unlike traditional methods, MEIO takes a holistic approach by optimizing inventory across the entire supply network. Here’s how it solves the problem:


Dynamic Inventory Balancing – MEIO continuously adjusts stock levels based on demand shifts, supply risks, and service level requirements.

Predictive Intelligence – It leverages AI-driven analytics to forecast disruptions and optimize inventory buffers.

Integrated Optimization – MEIO considers dependencies across multiple locations, ensuring that inventory is placed where it delivers the most value.


Transforming Inventory Planning with MEIO

Companies that adopt MEIO experience lower carrying costs, fewer stockouts, and improved supply chain resilience. At Wahupa, we provide cutting-edge MEIO solutions embedded within Kinaxis, helping businesses optimize their inventory strategy with precision.


Is your company struggling with inventory optimization? 

Contact us today to see how MEIO can drive efficiency and competitive advantage.

 
 
 

Recent Posts

See All

Commenti


bottom of page