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Increase in-stock rates for products, reduce day of sales, decrease spoilage and increase buyer productivity.
An Advanced Form of Supply Chain Management
Today, computers and mobile devices can access supply chain data in more ways than ever. Users can see data points like sales, demand, lead time, in-stock and on-order quantities at any point in the supply chain. Of course, this is a major advantage over previous methods of supply chain management. In fact, it is because of this data accessibility that manufacturers, distributors and retailers see the benefit of sharing their information.
Why is It Advantageous to Share Data?
Manufacturers and resellers can react sooner to market demands. Better market accommodation leads to happier customers, less waste, and more profits.
How Can Collaborative Replenishment Help You?
Collaborative replenishment increases in-stock rates for products, reduces day of sales (DOS) (i.e., increased turns), decreases spoilage, increases buyer productivity, and leverages existing data to increase sales.
Is Collaborative Replenishment Different from VMI?
We consider vendor managed inventory (VMI) to be a part of collaborative replenishment. VMI is just one way companies are working together to manage their replenishment needs. On the other hand, collaborative replenishment offers more choices by enabling orders to be launched by any trading partner, offering multiple routes to market, and utilizing various types of demand signals. In all, collaborative replenishment is a more flexible approach to supply chain management.
Should My Company Use Collaborative Replenishment or VMI?
If you answered “multiple” to any of the above, collaborative replenishment might be the supply chain solution that your company needs.
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Who's Doing Collaborative Replenishment?
More than you think. Many of TrueCommerce Datalliance’s current collaborative replenishment users began as vendor managed inventory customers. As our customer base has increased their locations, manufacturing facilities, and upgraded their data collection methods, they naturally added functionality that could handle their complex needs.