Lazuli provides a Product Data Platform (PDP) that utilizes AI to organize and enhance product data, enabling businesses to optimize their digital sales and marketing strategies. By automating data normalization and integration, Lazuli significantly reduces manual processing time and improves the accuracy of product information, leading to increased sales and enhanced customer insights.
Funding
$11.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GBFounders
Product
Problem
Many businesses struggle with disorganized and inconsistent product data, leading to inefficiencies in digital sales and marketing efforts. Manual data processing is time-consuming and prone to errors, hindering the ability to optimize product information for various digital channels. This ultimately impacts sales, customer insights, and overall business performance.
Solution
Lazuli provides a Product Data Platform (PDP) that leverages AI to centralize, normalize, and enrich product data, enabling businesses to enhance their digital sales and marketing strategies. The platform automates data integration and normalization from various sources, creating a single source of truth for product information. By applying AI-driven tagging, labeling, and extension capabilities, Lazuli PDP ensures product data is accurate, complete, and optimized for improved customer experiences across e-commerce, POS systems, and other digital touchpoints. This allows businesses to streamline product information management, improve data-driven decision-making, and drive revenue growth.
Target Audience
Lazuli's primary customers are retailers, wholesalers, and manufacturers seeking to improve product data quality, streamline digital sales operations, and enhance customer experiences across various channels.
Features
- AI-powered product data normalization and integration from disparate sources (POS, EC, etc.)
- Automated product tagging and labeling using machine learning algorithms
- Extension of product data using proprietary and external databases (GS1 JICFS/IFDB)
- POS data cleansing and master data整備
- Variant and color estimation based on available product information
- Rule-based condition matching and labeling
- Seamless integration with various marketing and sales tools via API
- Professional services for customized product master data support