Vendor Managed Inventory Software
Vendor Managed Inventory

The ultimate way for retailer and supplier to share resources and collaborate.

ERS offers a mostly automated process for determining inventory needs by store by SKU. It takes advantage of shared resources from our platform including sales curves, demand planning parameters, reporting and dashboards.

vmi cycle
Our Vendor Managed Inventory Service

The process starts with a weekly POS data feed at store level from the retailer. That POS data gets ingested along with the supplier’s wholesale inventory into our database and intelligence engine. The system then calculates multiple rates of sale by store, inventory requirements and recommends a replenishment quantity by SKU, by store. The user approves it, or asks system to recalculate using a different distribution scenario. The system recalculates and once approved, creates a data extract with purchase order details that can be transmitted back to the retailer. 

The Benefits of Vendor Managed Inventory

Placing products in the right stores, minimizing costs and increasing profit is just the beginning. Our process goes a step further to assist users to track and gather information relevant to their business.

The process merges data points from various sources, makes calculations based on the user’s preferred replenishment scenario and displays the results in an interactive reporting tool. Order quantities are then reviewed- and approved or declined. Once approved a file in the user’s desired format (xml, text, etc.) is generated with the necessary information to transmit a live order. The system can be customized to meet individual customer’s needs.

How it Works

Step 1

Seasonality curves are derived from historical sales, promotion plans and calendar shifts.

Step 2

De-seasonalized demand is calculated using multiple rates of sales over different time periods. The system checks for stock-outs and makes adjustments for lost sales.

Step 3

The system then calculates actuals needs based on the chosen rate of sale, the weeks of supply target and seasonality curve. It then compares the needs with the actual inventory and makes recommendations.

Step 4

Adjustments are then made based on constraints- like limited open to buy or lack of wholesale inventory. Users can select between multiple scenarios (feed high velocity stores first, give a little to every store, etc.).

Step 5

User reviews total inventory requirements, store level allocations and order cost. Once approved, a reverse PO is generated and sent to retailer.

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