Product Attributes & Characteristics - Cookies, Snack Cakes, and Pastries

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 cookies, snack cakes, and pastries 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 cookies, snack cakes, and pastries - including cookies, cupcakes, snack cakes, donuts, muffins, and other forms of relevant products. Harmonya is able to create a custom dataset of attributes and characteristics tailored to the combinations of categories that matter most to customers.

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 cookies, snack cakes, and pastries.

Combining Harmonya’s tags with our customers' and partners’ market measurement data for packaged cookies, snack cakes, and pastries 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Harmonya专有的机器学习与自然语言处理技术，从公开信息中收集包装饼干、零食蛋糕和糕点等产品的UPC级别属性，构建了一个无限制标签体系。它能够与客户现有数据结合，提供深度产品洞察，支持创新、营销、供应链等多种商业与运营应用。