What are Brands in Product Management?
Brands in GREENZERO Journey serve as more than just labels—they are intelligent containers that can carry specific rules, guidelines, and characteristics that apply to all products associated with them. This allows for consistent handling of products that share brand identity while streamlining the management of product portfolios. Key aspects of brands include:- Organizational Structure: Brands help categorize and organize products in meaningful ways
- Rule Enforcement: Brands can enforce specific guidelines across all associated products
- AI Guidance: Brands provide context that informs how the AI analyzes and makes recommendations for products
- Consistency: Brands ensure that similar products are treated with consistent assumptions and methodologies
Adding and Detecting Brands
GREENZERO Journey offers two primary methods for managing brands:Manual Brand Creation
Brands can be manually added to the system through the Brand Management interface. When creating a brand manually, you can:- Define the brand name and description
- Upload brand logos and visual assets
- Establish brand-specific rules and guidelines
- Set default parameters for products under this brand
- Specify sustainability commitments or certifications
Automatic Brand Detection
The GREENZERO Journey AI can also automatically detect brands when analyzing product information. This happens when:- Importing product data that includes brand information
- Analyzing product descriptions or specifications
- Processing product images that contain brand identifiers
- Associate the product with an existing brand in your system
- Create a new brand entry and prompt you to review and enhance its settings
How Brands Impact AI Behavior
One of the most powerful features of brands in GREENZERO Journey is their ability to influence how the AI analyzes products and generates recommendations. The AI adapts its behavior based on brand-specific rules and characteristics.Brand Rules
Brand rules are specific guidelines or constraints that apply to all products under a particular brand. These rules can be defined in natural language, making them flexible and easy to understand. For example:- “All products must use recycled packaging materials”
- “No animal-derived materials are permitted in any products”
- “Products should prioritize local sourcing within 100km of manufacturing”
- “All wood components must be FSC certified”
Example: Vegan Brand Rule
A particularly common example is setting a brand as “vegan,” which establishes a rule that no animal materials are allowed in any products under this brand. When this rule is in place:- The AI will flag any detected animal-derived materials in product compositions
- Recommendations for material substitutions will only include vegan alternatives
- LCA calculations will apply assumptions consistent with vegan manufacturing practices
- Reports will highlight the product’s alignment with vegan principles
Brand Rules in Action
When the AI processes products associated with a specific brand, it takes special care to ensure that all brand rules are considered in both analysis and recommendations:During Analysis
The AI will:- Check product compositions against brand rules
- Flag potential rule violations for review
- Apply appropriate assumptions based on brand characteristics
- Consider brand-specific supply chain information when available
For Recommendations
The AI will:- Only suggest changes that comply with all brand rules
- Prioritize recommendations that strengthen brand identity
- Consider brand sustainability commitments when suggesting improvements
- Maintain consistency across recommendations for all brand products
Managing Brand Rules
Brand rules can be managed through the Brand Settings interface, where you can:- Add new rules using natural language descriptions
- Edit existing rules as brand requirements evolve
- Temporarily disable rules without deleting them
- Set rule priority for cases where rules might conflict
- Monitor rule compliance across all brand products
Brand Analytics
GREENZERO Journey also provides brand-level analytics that aggregate data from all products under each brand. This allows you to:- Compare environmental performance across different brands
- Identify brand-specific improvement opportunities
- Track progress toward brand sustainability goals
- Generate brand-level sustainability reports