Product Attributes & Characteristics - Salty Snacks

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 salty snacks 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.

This listing is for packaged salty snacks products - including potato chips, tortilla chips, pretzels, puffs/curls/balls, and other forms of relevant products.

We refer to these attributes and characteristics as our ‘tags.’ Unlike other packaged food 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 salty snacks.

Combining Harmonya’s tags with our customers' and partners’ market measurement data for packaged snack 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.

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整合公开的UPC级别咸味零食信息，提供包含17类动态标签的全面产品属性库，支持与客户数据集成以深化市场分析。其特色在于无限制标签系统和可定制关联强度，适用于从商业策略到供应链管理的全场景应用，通过Snowflake平台实现数据无缝对接。