SAMPLE Global Products and Services Intelligence Suite | L1-L2-L3 | Updated Weekly

Veridion's Products & Services data product provides detailed and accurate information about a company's offerings. The data is extracted using AI and machine learning models, including Large Language Models (LLMs), from billions of unstructured sources like company websites, news articles, social media, and indexed product catalogues. Named entity recognition (NER) is a methodology used for finding product details.

The dataset is refreshed on a weekly basis.

The database contains over 1 billion and offers granular detail down to the product level.

Key attributes available include:
-Name and Description
-UNSPSC Classification (Segment, Family, Class codes and names)
-Manufacturing Details (Year, Country, Type)
-Quality Standards and Certifications
-Materials and Ingredients
-Price
-Size, Form, Color, Packaging Type
-Production Capacity
-Sustainability Characteristics (Eco-friendly, Ethical Practices)
-Product Identifier (SKU, CAS, NDC, UPC, GTIN, etc.)
-Intended Industries and Applicability/Use Cases
-Brand
-Energy Efficiency, Power Rating, Pressure Rating, Purity
-Miscellaneous Features (e.g., lead time, minimum order quantity)
-Specific technical specifications, such as Battery Technical Specifications (Energy density, charging time, lifespan)

This granular data supports various strategic use cases:

-Precise Supplier Selection and Discovery based on specific product requirements.
Identifying sustainable and ethical suppliers for specific product needs.

-Risk Assessment, including product risk, FOCI risk related to offerings, supply chain risk due to material shortages or regulatory changes, and manufacturing location risks related to specific products.

-Estimating GHG emissions associated with specific business activities or products (Scope 3).

-New product development.

-Ensuring compliance with regulations such as Carbon Border Adjustment Mechanism (CBAM) and the EU Green Taxonomy and supporting ethical sourcing compliance (e.g., UFLPA).

-Gaining Market Intelligence.

Veridion's Products & Services data is accessible via API (including the Search API and Match & Enrich API) and batch delivery and is available through various platforms.

Additional strategic initiatives can be supported by integrating with other Veridion data points, such as location or ESG insights, to build a more comprehensive risk profile for specific product categories relevant to your organization.

Veridion的产品与服务数据产品可提供企业旗下产品线的详尽精准信息。该类数据依托人工智能与机器学习模型（包括大语言模型（Large Language Models，LLMs）），从数十亿条非结构化数据源中提取而来，涵盖企业官网、新闻稿件、社交媒体内容以及已编入索引的产品目录。数据提取环节采用命名实体识别（Named Entity Recognition，NER）技术以精准获取产品细节。

本数据集每周更新一次。

该数据库收录超十亿条数据，可提供细粒度至单品级别的详尽信息。

平台支持的核心属性包括：
- 产品名称与描述
- UNSPSC分类（包含细分领域、产品家族、类别代码及对应名称）
- 生产详情（生产年份、产地、生产类型）
- 质量标准与认证证书
- 原材料与成分
- 售价
- 规格、形态、颜色、包装类型
- 生产产能
- 可持续性特征（环保属性、伦理合规实践）
- 产品识别码（SKU、CAS、NDC、UPC、GTIN等）
- 目标行业与适用场景
- 品牌
- 能源效率、功率额定值、压力额定值、纯度
- 其他杂项属性（例如交付周期、最低订货量）
- 特定技术规格，例如电池技术规格（能量密度、充电时长、使用寿命）

这类细粒度数据可支撑多类战略级业务场景：
- 基于特定产品需求精准筛选、发掘供应商；针对特定产品需求识别具备可持续性与伦理合规性的供应商。
- 风险评估，涵盖产品风险、与在售产品相关的外国所有权、控制权或影响力（FOCI）风险、因原材料短缺或监管变动引发的供应链风险，以及特定产品相关的生产选址风险。
- 估算与特定业务活动或产品相关的温室气体（Greenhouse Gas，GHG）排放量（范围三排放）。
- 新产品开发。
- 确保符合《碳边境调节机制（Carbon Border Adjustment Mechanism，CBAM）》、《欧盟绿色分类标准（EU Green Taxonomy）》等法规要求，并支撑伦理采购合规工作（例如《维吾尔族强迫劳动预防法（UFLPA）》）。
- 获取市场情报。

Veridion的产品与服务数据可通过应用程序编程接口（API，包括搜索API、匹配与丰富API）以及批量交付方式获取，同时可通过多类平台对接使用。

通过与Veridion的其他数据维度（例如地理位置数据或环境、社会和公司治理（Environmental, Social, Governance，ESG）洞察）进行集成，可支撑更多战略业务举措，从而为与您的组织相关的特定产品类别构建更全面的风险画像。

搜集汇总

背景与挑战

背景概述

该数据集通过AI技术从网站、新闻等非结构化数据中提取全球企业产品与服务信息，包含超10亿条产品级数据，涵盖名称、分类、制造细节等属性，每周更新。支持供应商选择、风险评估等应用场景，可通过API或批量方式获取。