Inventory optimization plays a key role in supply-demand matching. The
traditional inventory re-ordering systems in ERP software apply the same shape
for demand probability distribution (Normal or Poisson distribution which
results in either excess inventory or stock-out) for all SKUs. This issue is
further multiplied when the supply chain has many echelons, supply sources,
shared parts and varying service levels.
Our XSEED Dynamic Inventory Optimizer is ground-breaking, next generation model for inventory
optimization and builds SKU-specific inventory model taking into account the
unique supply and demand characteristics of each SKU. Our optimizer has the
uniqueness of dynamic re-order points which significantly reduces the inventory
meeting your company’s target fill rate.
Our Inventory Optimizer more accurately determines the level of safety stock
based on SKU-specific demand modeling accounting for seasonality factors.
Our next generation inventory optimizer reduces the inventory by 10-30% as
compared to traditional inventory optimization systems. Based on the accurate
modeling of demand and supply characteristics, our XSEED Dynamic Inventory
Optimizer automatically optimizes and recommends the best inventory control
policy for your company.
The following table gives the comparison of ERP systems
and our XSEED Dynamic Inventory Optimizer:
Our analytics products are extremely configurable and scalable. If your
organization requires customization of the optimization model to incorporate
your organization’s unique performance metrics or unique business rules, our
optimization experts can customize the product quickly and deliver it.
Contact us for more details on this optimization software.