ConverSight’s inventory optimization software checks every SKU-location in your ERP each week and ranks what to transfer, hold, or liquidate. Planners work a short list, and Finance sees what each change does to cash.
“ConverSight’s AI insights enhanced the visibility and value of our ERP data, enabling faster and more informed decision-making.”
Most inventory optimization software stops at a policy table of safety stock, reorder points, and order quantities. ConverSight turns that table into a ranked list of actions your planners approve.
Inventory optimization software sets how much of each item to stock at each location. It uses demand variability, lead time, and a target service level to set safety stock, reorder points, and order quantities at the lowest carrying cost. ConverSight goes a step further: it ranks the actions that follow from the policy, so planners work a short list instead of a spreadsheet.
Inventory management tracks counts, movements, and transactions. Inventory optimization sets the policy for each SKU-location against a service level target and a carrying cost budget. Most ERPs manage inventory well and optimize it poorly.
Multi-echelon inventory optimization sets stock levels across every tier of a network (plants, distribution centers, and branches) as one system instead of planning each site alone. Because the tiers buffer the same demand, planning them together hits the same fill rate with less total inventory.
Only within rules you set. By default, every purchase order waits for a planner’s approval. Policies are set per SKU-location from its service level, so items at risk are flagged before they run short. Every change writes back to your ERP with an audit trail.
Acumatica, Fishbowl, Sage, SAP, NetSuite, Microsoft Dynamics, and Katana, among more than 150 connectors.
