Supply chain optimization is an important theme for businesses that handle various products. What initiatives are needed to manage inventory and product supply?
By combining customer purchase data with product data, Lazuli PDP enables sophisticated feedback to the supply chain through optimal demand forecasting for each product category and automatic ordering by combining similar products.
Improved accuracy of demand forecasts
Combining and analyzing purchase and product data in Lazuli PDP makes it possible to know what products are being purchased, at what time, and by what customer segments. This enables accurate demand forecasting.
High-precision analysis of inventory control
Connecting the feature tags and category analysis features included in the product data provided by Lazuli PDP to the inventory master allows the characteristics of hot-selling products and products with low turnover to be identified and inventory management to be properly evaluated. Moreover, with product data, it is possible to identify products that are seasonal and trending, and by reflecting these in the order forecast, risks such as excess inventory and inventory shortages can be avoided, thereby improving business efficiency and customer satisfaction at the same time.
Utilize data to optimize the supply chain
Demand forecast by product category
As the number of products managed increases, demand forecasting becomes more difficult. To give an example, even under the simple category of tomatoes, there are many products with names that are difficult to recognize as “tomatoes” by product name alone, such as “Momotaro” and “Renaissance. By accurately identifying the category, regardless of naming, the Lazuli PDP can be used to predict overall category demand for tomatoes, not just demand by variety. Furthermore, the automatic ordering of similar products combined together enables feedback to the optimal supply chain and improves overall operational efficiency.