Beverage Product Characteristics & Attributes for CPG/Retail Data Enrichment

Harmonya’s product attributes and characteristics for CPGs and retailers complements the industry, retailer, and manufacturer data sources that exist today to drive business decisions. We ingest billions of online data points about products from publicly available data sources at the individual UPC level. This content is generated by consumers, brands, and retailers in the form of product listings, reviews, and more. Our proprietary models leverage machine learning (ML) and natural language processing (NPL) capabilities to offer the most holistic suite of product attributes and characteristics available today.

These attributes and characteristics are Harmonya’s ‘tags.’ A single UPC can have an infinite number. Through this approach to attribution, we can offer unparalleled depth and dimension to data sets that are otherwise static and commoditized.

Integrating Harmonya’s tags with your market measurement data enriches your data assets to uncover deep insights about product, brand, portfolio, and category dynamics. The combination of our product attributes and your trusted data is a comprehensive understanding about the key drivers of in-market dynamics. This enriched data set provides a fertile ground for a wide variety of use cases and teams in the CPG and retail verticals.

Commercial use cases of Harmonya’s enrichment include innovation, marketing, merchandising, and e-commerce. Operational applications include supply chain, product development, demand planning, and sustainability. Each engagement is scoped to the specific industry, category, and product needs of our customers, and Harmonya can seamlessly integrate with your existing data sources at the UPC level instantly.

This listing is for packaged non-alcoholic beverage products - including carbonated soft drinks, water (still/sparkling), juice, energy drinks, ready to drink coffee and tea, and other types of relevant products. The list of specific categories and products is completely customizable.

The types of tags we provide for food and beverage products include:
- Activity
- Audience
- Claim
- Consumer Benefit
- Container
- Event
- Flavor
- Ingredient
- Number of Items in Pack
- Occasion
- Packaging
- Place of Origin
- Preparation
- Product Properties
- Size
- Taste Property
- Texture

Enrichments append the following fields to UPC-level product data:
- UPC
- Tag: the concept associated with the product
- Tag Types: our categorization of the concept in the tag
- Affiliation Score: the strength of association of this concept to this item; where 1 is strongly affiliated and 0 is weak affiliation (we implement a lower limit for these exercises to put forward the most relevant tags, and we able to customize this threshold to be more/less inclusive as desired for the engagement)
- Data Elements: where the tag about the item was sourced
(Additional information, such as Manufacturer and Brand, also available)

Expected workflow:
- Customer shares list of UPCs with Harmonya via a Snowflake share for data enrichment.
- Harmonya uses a Snowflake share and Harmonya's proprietary applications to provide the customer with customized enriched UPC-level product data and insights.

搜集汇总

背景与挑战

背景概述

该数据集通过机器学习与自然语言处理技术，从公开数据源提取UPC级别的非酒精饮料产品属性标签，如口味、成分和包装等，以丰富CPG和零售数据。它支持商业和运营决策，并可根据客户需求定制标签类别，实现与现有数据源的集成。