AI-Powered Process Identification
Describe your project from the cradle to the grave or upload existing project files, and EcoIN Data AI will intelligently identify the necessary LCI processes. Users can also directly query specific processes.

Comprehensive LCI Database Coverage
Access over 20 leading LCI databases, including ecoinvent, Sphera/GaBi, cm. chemicals, EN15804 add-on, Agribalyse, and many more. Search across single or multiple databases simultaneously.

Chat with AI to Instantly Retrieve Key Process Information
Instantly obtain comprehensive LCI process details with a single AI prompt, including:

• Technical Process Name – The exact name stored in the database.
• Database Name – The source database containing the process.
• Country – The applicable region for the process.
• Location in Database – The database path (important for OpenLCA users).
• Process Description – A summarized version of all available documentation.
• Additional Information – Any other relevant data.
  Users can continue chatting to refine search criteria or get deeper insights.

Identifying Technical LCI Processes from Generic Names:
EcoIN Data AI can recognize generic process names and retrieve their corresponding technical names from multiple LCI databases.

Examples:

Plastic Process

Generic Name: Plastic granulate production

Technical Name: polyethylene, high density, granulate, at plant

Ethanol Process

Generic Name: Ethanol production from corn

Technical Name: ethanol, from maize, at fermentation plant

Electric Process

Generic Name: Electricity production from wind power

Technical Name: electricity production, wind, 1-3MW turbine, onshore
Users can interact with the chatbot or upload documents containing generic process names, and EcoIN Data AI will detect and match relevant LCI processes.

Interactive Chat Interface
Engage in a dynamic conversation with EcoIN Data AI to refine your search, explore alternative processes, and gain deeper insights.

Focused Features for LCA Experts

Process-Focused Approach
EcoIN Data AI identifies and selects the appropriate LCI processes. It does not provide emission factors but allows users to integrate selected processes with emission factor data from their preferred LCA software or database.

Supports Regulatory Compliance
Facilitates compliance with environmental standards such as ISO 14040/14044 and other product-specific footprinting regulations.

Auto Detection and keyword-based are major features streamlining process identification. Users can input generic descriptions of their needs, such as “electric vehicle,” instead of specifying detailed process requests. Based on these generic prompts, the system scans, extracts, identifies, and displays relevant processes or methods.

Simplified User Input: Users can search for processes using everyday language and keywords (e.g., “wooden chair,” “remote control,” “plastic cup,” “car production,” “municipal waste recycling,” “Electric vehicle,” “LCD Screen,” “T-Shirt, “Apple Planting,” “Methanol Production,“ etc.).

Foreground/Activity Data Identification and Listing: A core feature to identify and list potential “Activity Data“ (also known as “Foreground Data”) required for LCA. Users can display this data for a specific process or multiple processes by typing “Show activity data“ after displaying the process in action.

Auto-Detection and Recognition for Complex System Inquiries

The chatbot is designed to recognize and expand generalized system inquiries into structured comparisons. It can intelligently process comparative analyses based on user input.

Examples of Supported Queries:

• Concrete vs. Timber in Construction
• Biodegradable Plastic vs. Recyclable Plastic
• Smartphone Production vs. Recycling
• Advanced Oxidation Water Treatment vs. Chlorination
• Chicken vs. Plant-Based Chicken
• Pasta with Beef vs. Rice Cultivation
• Frozen Pizza vs. Packaging Material
• Electric Vehicle Batteries vs. Solid-State Batteries
• Residential Solar Panels vs. Installation Locations
• Organic Cotton vs. Conventional Cotton

Comparative LCA Process Retrieval via Textual Prompts

The chatbot supports comparative Life Cycle Assessment (LCA) process retrieval based on user input. Users can request comparisons for different products or materials using text-based prompts.

Examples:

• Organic Carrot vs. Conventional Carrot
• Cotton T-Shirt vs. Polyester T-Shirt
• Cotton T-Shirt vs. Polyester T-Shirt vs. Fabric T-Shirt

Contextual Query Handling for Specific Material and Process Searches

EcoIN Data AI can handle structured queries and contextual prompts to provide accurate LCI process data. The chatbot retrieves relevant processes from multiple databases when requested.

Examples:

• Aluminum vs. Aluminum Alloy, Copper, vs. Steel
• Steel Production, ecoinvent, USA
• Recycling Paper, ALL, China (searching across all databases)
• Comparative LCA Example: Aluminum vs. Aluminum Alloy, Copper, vs. Steel

Cradle-to-Grave Support for Life Cycle Stages in LCI Data Retrieval

The chatbot provides full support for retrieving Life Cycle Inventory (LCI) data across all major lifecycle stages.

Supported Lifecycle Stages:

• Raw Material Extraction
• Production
• Transportation
• Packaging
• End-of-Life (e.g., incineration, landfill, recycling)

Built-in Natural Language Processing (NLP) for Auto-Correction and Recognition

EcoIN Data AI is equipped with NLP capabilities that automatically detect and correct typos, misspellings, and phonetic errors in user queries. This ensures accurate data retrieval even when minor input errors occur.

Key Benefits

Significant Time Savings
Reduce LCI research time by up to 70%, freeing valuable resources and accelerating project completion.

Improved Accuracy
Ensure the selection of correct LCI processes, minimizing errors and enhancing the reliability of LCA results.

Enhanced Decision-Making
Gain a comprehensive understanding of relevant processes to make informed decisions about product design and environmental impact.

Cost-Effectiveness
Streamlined research translates to lower LCA study costs, enabling broader adoption of sustainability practices.