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Lazuli PDP - Product development that takes into account market trends

Previously, planning a new product took several years. However, now that the use of data has become more common, product data can be used to increase the number of axes of analysis. This will improve the efficiency of product planning and development.

Lazuli PDP combines market and customer trend data with product data to accurately identify which product lines have what features and which demographics are accepted. By processing the analysis axes of existing data on market trends and competitive products with AI, it is possible to create product master data immediately for analysis. This enables the following two things:
1. Improve the efficiency of product development
2. Improve the accuracy of market trend analysis

The New Value of Product Data

With Lazuli PDP, product data can be imported into your product master data. This simplifies product grouping and categorization, creating a new axis of analysis and expanding the possibilities of analysis.

Deep customer understanding and product development

Through leveraging Lazuli PDP, product-specific features can be added to the customer’s product master data as “feature tags”. By associating these feature tags with customer purchase data and analyzing them, we can learn what kind of values and preferences our customers have and how they are living their lives. This will be a useful insight to determine the direction of product planning.

Lazuli PDP is a platform that integrates, processes, and connects various master data held by customers, using product data as a key. We process data in line with your future business form, and prepare that data into a form that can be integrated with external tools.

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Maintenance of data improves the accuracy of market analysis and streamlines product development

New analysis axis for product development

Data is added from Lazuli PDP to your product master data using the product name and JAN code (or product number or model number) as a key, with each product’s unique features as a tag. By processing the data, such as labeling or category estimation of products that match conditions such as Food for Specified Health Use” or “Eco Mark,” you can increase the axis of analysis, which will be useful for unprecedented planning and development.

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