In Vendor Managed Inventory (VMI), the supplier takes responsibility for monitoring inventory at the customer\u2019s location and initiating replenishment when needed. The customer shares stock levels and sales data; the supplier uses them to work out what to send and when, and ships it before the customer runs out.<\/p>\n
With a more traditional purchase order, the buyer is the one deciding when to reorder. They monitor inventory, decide when stock is getting low, and then send you an order. While this can work when demand and lead times are steady, modern supply chains don\u2019t always work that way. Between orders there\u2019s no visibility on what\u2019s selling and what\u2019s still on the shelf.<\/p>\n
Vendor Managed Inventory gives you visibility and more control over replenishment. The customer shares their inventory and sales data, usually on an automated feed. You compare that to stocking rules you both signed off on, work out what needs to be replenished, and create the order yourself. Depending on the setup, the customer either takes the order automatically or approves it.<\/p>\n
The replenishment decision moves to the supplier, who tends to have a better handle on lead times, production limits, and demand changes throughout the year.<\/p>\n
When both sides are sharing information, you get better visibility into the customer\u2019s inventory and sales, and they get a better view of how well you\u2019re fulfilling orders.<\/p>\n
VMI stands for Vendor Managed Inventory. Sometimes you\u2019ll see it referred to as supplier managed inventory, vendor inventory management, and vendor management inventory. If one of those appears in a contract or a retailer scorecard, the VMI meaning is the same.<\/p>\n
First, both sides agree on the rules, including minimum and maximum stock levels for items and locations, fill dates, order frequency, minimum order quantities, lead times, and how to handle promotions and seasonality.<\/p>\n
These targets then become the benchmark for replenishment decisions. VMI programmes that struggle initially often realise the initial assumptions were incorrect or that targets were never fully agreed.<\/p>\n
The customer sends you inventory levels and sales activity on an agreed schedule, usually daily or weekly. In an EDI setup, that data often comes through a product activity report or inventory advice.<\/p>\n
At a minimum, you need to know what is on hand, what has sold or shipped, what is already on order, and what is still in transit or sitting elsewhere in the customer\u2019s network. That information should be broken down by item and location.<\/p>\n
Review order history and sales data to see what the buyer has decided to purchase and what customers actually bought. These usually give you a much clearer picture of demand. After that, you\u2019ll want to compare expected demand with current inventory and the minimums and maximums already agreed.<\/p>\n
You may need to account for pallet quantities, freight costs, minimum order sizes, and what you can actually supply at the time. Depending on the agreement, you might create the order and the customer receives the confirmation. In other agreements, the customer reviews and approves the order before it\u2019s released.<\/p>\n
Once the order is ready, you\u2019ll ship the goods and the customer will confirm receipt. Ownership transfers depending on your agreement. In many VMI programmes, ownership changes when the goods are received by the customer. Sometimes with consignment or scan-based trading, you may continue to own the inventory until it is used or sold.<\/p>\n
Both sides should review performance regularly. Generally, you\u2019ll check fill rate, days of supply, in-stock percentages, forecast accuracy, and how many expedited orders there have been.<\/p>\n
VMI can be confused with other inventory models, as they are often used together. The differences are important when defining responsibilities and writing contracts.<\/p>\n
Consignment inventory<\/strong> is about ownership. The supplier continues to own the stock until a customer sells it or uses it. VMI is about replenishment responsibility, mainly who decides when and how much to reorder. A programme can use both models together, but each can also exist on its own. Before agreeing terms, it\u2019s worth learning<\/p>\n the difference between VMI and consignment inventory<\/a>.<\/p>\n Just-in-time inventory<\/strong> is focused on keeping stock levels as low as possible without disrupting operations. VMI helps decide when replenishment should happen and how much stock to send. Because they solve different parts of inventory, these processes can work well together.<\/p>\n Collaborative planning, forecasting and replenishment<\/a> <\/strong>takes the collaboration a step further. Instead of the supplier managing replenishment based on shared data, both sides work together to develop the forecast. VMI can be a helpful step towards that kind of shared planning.<\/p>\n Scan-based trading<\/a> combines VMI with supplier ownership of the inventory until the product is sold at the till.<\/p>\n For the supplier, VMI is primarily a tool for growth and operational efficiency. When you have direct visibility into how your products are moving at the customer level, you are no longer flying blind between order cycles. You can act on the data rather than react to it.<\/p>\n The outcomes suppliers most commonly see from VMI include:<\/p>\n VMI is sometimes misread as a programme that benefits the supplier at the retailer’s expense. The opposite is true. The retailer or distributor gives up some ordering control in exchange for significantly better outcomes.<\/p>\n The VMI model works because its incentives are aligned. Both parties want the same thing: the right product, in the right quantity, at the right time.<\/p>\n VMI can work differently depending on the type of customer and the relationship you have with them. The examples below show how VMI works in different settings: what data is shared, who makes the replenishment decision, and who owns the inventory until it\u2019s sold.<\/p>\n A food manufacturer supplies several hundred SKUs to a grocery chain\u2019s regional distribution centres. Each week, the retailer shares inventory levels, recent store shipments, and open purchase orders by item and location.<\/p>\n The supplier uses that data to forecast demand, compares it with the agreed minimum and maximum days of supply, and creates replenishment orders in full pallets or truckloads. Ownership of the inventory transfers to the retailer when the shipment is received at the distribution centre.<\/p>\n Promotions are handled separately. Expected demand increases are agreed in advance and added to the replenishment rules for the promotional period, helping avoid stockouts caused by relying on normal demand patterns.<\/p>\n A beverage supplier delivers directly to several hundred retail stores. Each day, the retailer shares point-of-sale data by store and item, giving the supplier a clear view of what is actually selling.<\/p>\n The supplier keeps ownership of the inventory until each item is scanned at the till. That sale triggers payment and feeds into the next replenishment decision, so there is no need for a traditional purchase order and receipt process.<\/p>\n Because the supplier owns the inventory until it sells, it also takes on the risk for shrinkage and damaged stock. In return, it gets direct access to store-level sales data, which gives it a much stronger basis for forecasting demand and planning replenishment.<\/p>\n An MRO distributor keeps commonly used items such as fasteners, fittings, and other consumables in bins at a manufacturer\u2019s facility. Because the stock is used on site, replenishment is based on actual consumption, usually captured through scans or regular inventory counts.<\/p>\n The distributor monitors each bin against agreed minimum and maximum levels and restocks as needed during scheduled service visits. The inventory remains on consignment until it is issued to a work order, so the manufacturer only pays for what it uses.<\/p>\n For the plant team, the main benefit is simplicity. Employees do not need to raise a requisition every time they need another box of bolts or fittings.<\/p>\n One of the best-known examples of VMI is the relationship between Walmart and Procter & Gamble, which began in the late 1980s. It is often cited as an early example of modern VMI in retail and is still used to explain how the model works in practice.<\/p>\n Since then, VMI has become common across a much wider range of industries, including consumer goods, industrial distribution, healthcare, and building products.<\/p>\n As you\u2019ve read above, the benefits of VMI are clear. But it also comes with some challenges. Most of them can be managed as long as you sort them out before the programme starts.<\/p>\n Your forecast depends on the quality of the customer\u2019s data.<\/strong> If inventory counts are off, data is late arriving, or stock in a back room is missing from the feed, your replenishment decisions will be based on a partial picture. Define what acceptable data looks like upfront, including how often it will be shared and how errors or missing information will be handled.<\/p>\n Forecasting responsibility shifts to you.<\/strong> In a traditional purchasing model, the buyer is responsible for deciding how much to order. With VMI, much of that responsibility moves to the supplier. Forecast accuracy therefore becomes something both sides need to review together, especially when demand differs significantly from expectations.<\/p>\n Working capital requirements can increase.<\/strong> If the programme includes consignment or scan-based trading, you may own the inventory for longer and receive payment later. The potential cash-flow impact should be understood before agreeing to the commercial terms.<\/p>\n VMI requires trust and clear agreements.<\/strong> The supplier is making inventory decisions on the customer\u2019s behalf and using sales and inventory data the customer has chosen to share. Both sides need clear service levels, ownership terms, responsibilities, and a process for dealing with major forecast or inventory issues.<\/p>\n Manual processes become harder to manage as the programme grows.<\/strong> A small VMI programme with a few customers and SKUs may be manageable in spreadsheets. Once you are replenishing hundreds of items across multiple locations, manual review becomes much more time-consuming and increases the risk of errors. At that point, automation becomes much more important.<\/p>\n A VMI programme depends mainly on two things: getting reliable data from the customer and having the right process for turning that data into replenishment decisions.<\/p>\n You need current inventory and sales data for each location, shared often enough to reflect how quickly the product moves. With EDI, that may come through a product activity report such as an 852, an inventory enquiry or advice such as an 846, or a product transfer and resale report such as an 867. The connection also needs to be monitored. If a feed stops for several days without anyone noticing, replenishment decisions quickly start relying on outdated information.<\/p>\n Receiving the data is only the first step. You still need to turn it into a demand forecast, compare that forecast with your stocking rules, and calculate what should be replenished. Inventory forecasting and replenishment<\/a> automates that process, making it possible for planners to manage far more accounts without reviewing every item manually.<\/p>\nThe Benefits of Vendor Managed Inventory<\/h2>\n
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What Retailers and Distributors Gain<\/h2>\n
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Vendor Managed Inventory Examples<\/h2>\n
A CPG Supplier Replenishing a Grocery Distribution Centre<\/h3>\n
A Store-Level Programme Using Scan-Based Trading<\/h3>\n
An Industrial Supplier Managing Bin Stock on Site<\/h3>\n
Vendor Managed Inventory Company Examples<\/h3>\n
Vendor Managed Inventory Advantages and Disadvantages<\/h2>\n
What You Need to Run VMI<\/h2>\n
Reliable inbound data from the customer.<\/h3>\n
Forecasting and replenishment automation.<\/h3>\n
A way to manage exceptions.<\/h3>\n