Product Attributes & Characteristics - Non-Alcoholic Beverages (60 UPC Sample)

Harmonya is building a new language for consumer products that complements existing manufacturer, retailer, and industry data sources. We gather publicly available information online about packaged non-alcoholic beverage products at the individual UPC level from content generated by consumers, brands, and retailers. Using our proprietary machine learning and natural language processing capabilities, we have developed the most comprehensive database of product attributes and characteristics.

Harmonya is able to create a custom dataset of attributes and characteristics tailored to the combinations of categories that matter most to customers. This listing is for an illustrative data set for 60 UPCs from the 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 customizable.

We refer to our attributes and characteristics for products as our ‘tags.’ Unlike other packaged beverages industry data sources, Harmonya’s platform allows for an individual product to have an unlimited number of tags. This unconstrained approach to attribution provides complementary depth and dimension to otherwise hierarchical and static data sets commonly referenced for beverage products.

Combining Harmonya’s tags with our customers' and partners’ market measurement data for packaged non-alcoholic beverage products creates enriched data assets which unlock deep insights about product, brand, portfolio, and category dynamics. The end result is an unrivaled depth of understanding about what is driving shopper and consumer behavior below the surface of industry data sources. The enriched data also provides incremental variables relevant to a broad assortment of analytical use cases and applications.

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)

The business application of this data spans the spectrum of brand and retail use cases. Commercial applications of the Harmonya product data include innovation, marketing, merchandising, and e-commerce. Operational applications of the Harmonya product data include supply chain, product development, demand planning, and sustainability.

Each engagement with Harmonya is scoped to the specific category and product needs of our customers. Unlike standalone product information sources, Harmonya can be seamlessly integrated with existing trusted data sources at the UPC level.

搜集汇总

背景与挑战

背景概述

该数据集由Harmonya构建，专注于非酒精饮料产品的属性与特征，包含60个UPC样本，通过机器学习和自然语言处理从公开内容中提取无限标签（如口味、成分等），以补充传统行业数据。它支持定制化类别，并能与现有UPC级数据源无缝整合，应用于创新、营销和供应链等商业场景。