Dynamic inventory management

The software is continuously adjusting and fine-tuning inventory levels in response to changing demand, market conditions, and other variables. Unlike static or traditional inventory management approaches, which may rely on fixed reorder points and order quantities, dynamic stock optimization incorporates demand sensing capabilities, allowing the system to detect changes in demand patterns in real time to ensure that inventory levels align with current business needs.

The software dynamically incorporates safety stock considerations to buffer against unexpected demand fluctuations or supply chain disruptions. This ensures that businesses have a sufficient reserve to meet unforeseen demands and maintain customer satisfaction.

The total revenues increase by virtue of the stock optimization
Dynamic inventory management
  • Inventory value
  • Total revenues

Stock Optimization

Finding the correct stock levels is key to a high-performing supply chain. Overstocked inventory is capital demanding, while out-of-stocks result in customer losses. Optimize end-to-end inventory levels by considering essential settings, including:

  • Product range and structure aligned with KPIs settings
  • Desired customer service levels tailored to each location
  • Economic Order Quantity (EOQ) parameters for cost-effective ordering
  • Supplier conditions, considering lead times, delivery calendars, and more
  • Shelf display/face parameters to enhance product visibility
  • Customer sales and replenishment strategies to meet demand efficiently
  • Accurate shelf life information for effective fresh inventory management
Stock optimization
A Stock
20
%
B Stock 30%
C Stock 50%

Overstock management

Excess inventory is one of the biggest challenges faced by retailers. It can lead to financial losses and operational inefficiencies. To address this issue, our solution provides complex algorithms for redistributing excess inventory between stores or warehouses.

  • Balancing inventory levels ensures that high-demand stores/warehouses have sufficient stock while preventing overstock situations in slower-moving locations.
  • By redistributing excess inventory, retailers can avoid markdowns and discounts that erode profit margins.
  • Software algorithms automatically calculate most favorable redistribution and/or reverse logistics strategy
Overstock management
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