Organize Master for POS Analysis
Increase Insights from POS Data Analysis with Lazuli PDP
Issue
Significant resources are required for data preparation before conducting POS data analysis.
In the retail and manufacturing industries, many companies face challenges with data normalization of POS data before analysis. To allocate more time to the analytical tasks, how can the data preparation time be minimized?
Solution
Instant nominalization of POS data.
In many cases, there are spelling inconsistencies in product names registered in POS data for each retail company. This may result in different notations of POS data for the same product when aggregated. Lazuli PDP instantly standardizes the names of items with spelling inconsistencies, a task traditionally performed manually.
Automatically expand missing product master information.
For the in-house products, the product master exists, but there is no information for other companies' product data. The staff manually searches the internet to obtain this information. By using Lazuli PDP, we process the necessary product data, automating the replenishment of missing information in the master that was traditionally done manually.
Easily generate the necessary analytical axes.
Various POS data analysis methods exist, such as ABC analysis, RFM analysis, and trend analysis. Utilizing product data and generating analytical axes tailored to specific purposes leads to the discovery of new insights.
Mechanism
Data Processing
We organize the format of your existing product master using Lazuli PDP. It expands your product master with various product information collected, cleansed, and maintained by Lazuli. This reduces the need for assigning personnel to collect product information from the internet and enables automated data expansion. Additionally, it supports tasks such as POS data standardization and normalization.
Data Generation
In addition to expanding and processing information in your existing product master, advanced AI technology allows for automatic category generation condition-matched labeling, etc. It automatically generates the necessary analytical axes based on the analysis purpose.
Data Integration
There is a wide range of tools for analyzing and utilizing data, each with its own format for importing data. Lazuli PDP automates the formatting process for each tool, facilitating seamless integration between tools.
