Intelligent Replenishment System，Reshaping efficient retailer-supplier relationships

Intelligent Replenishment System

Reshaping an efficient supplier-retailer relationship

Company C is a large chain supermarket company that has been in business for many years. In order to achieve accurate ordering and reduce the out-of-stock rate of goods, it has cooperated with DMALL to use an intelligent ordering system. Based on the real-time analysis and prediction of commodity inventory and sales data, it determines the purchase based on sales and automatically generates orders to create a new and efficient supplier-retailer relationship.

Background and Issues

Ordering based on experience leads to an unstable out-of-stock rate.

Each store relies on manual experience to forecast sales, which cannot be standardized. This results in high out-of-stock rates for stores with poor forecasting experience.

Difficult to break away from “personal” ordering

Long-term relationships between suppliers and retailers often lead to subjective ordering, where order quantities and categories are influenced by personal factors.

Solution and Effect

Real-time data analysis and forecasting to determine ordering

By analyzing sales, display, and inventory data, the system predicts sales and creates orders based on demand.

Digitalized ordering management reshapes retailer-supplier relationships

The entire ordering process is managed digitally, standardizing and visualizing operations, which effectively addresses the "personal" issues in retailer-supplier relationships.

Optimized workflow, saving labor costs

With digital sales forecasts and automatic order generation, repetitive communication and confirmation processes are minimized, optimizing workflows and reducing labor costs.