AI Sustainability Reporting From Segmented Multi-Source Data

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Solution Overview

Problem

Entities face challenges in efficiently managing, summarizing, and visualizing large volumes of complex sustainability data, making it difficult to track and analyze sustainability commitments effectively.

Innovation Solution

A system that utilizes a computer vision model to extract and split sustainability data into subsets, followed by an AI model for summarization and generation of a graphical user interface report, enabling efficient data management and visualization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If comprehensive sustainability data is collected from multiple sources, then the completeness and accuracy of sustainability information is improved, but the volume and complexity of data increases making it difficult to manage and summarize

Engineering Contradiction:

Improvecompleteness of sustainability informationVSAvoidcomplexity of data management

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the sustainability data into structured categories (environmental, social, governance) and further divides them into specific metrics. The system processes data in manageable chunks through automated extraction from multiple sources, organizing them into a standardized framework that reduces complexity while maintaining comprehensiveness.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary processing layer that includes automated data extraction tools, standardized templates, and AI-assisted summarization algorithms. This intermediary layer mediates between the raw complex data from multiple sources and the final simplified sustainability report, automatically transforming and organizing the data to reduce management complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If sustainability data is manually summarized and visualized, then the level of detail and customization is improved, but the time required and labor intensity increases

Engineering Contradiction:

Improvelevel of detail in data analysisVSAvoidtime required for data processing

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent implements self-service automation where the system automatically extracts data from sources, populates standardized templates, generates visualizations, and creates summary reports without requiring manual intervention. The AI-assisted tools automatically interpret data patterns and generate insights, enabling the system to serve itself in the data processing workflow.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical data processing operations with automated digital systems. Manual data collection, summarization, and visualization tasks are substituted with automated extraction algorithms, AI models, and digital reporting tools that perform the same functions much faster and with consistent accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If detailed sustainability data is processed through traditional methods, then the accuracy of analysis is maintained, but the efficiency of data retrieval and summarization decreases

Engineering Contradiction:

Improveaccuracy of sustainability analysisVSAvoidefficiency of data processing

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces traditional manual data processing methods with automated extraction algorithms and AI models that accurately interpret complex sustainability data. These intelligent systems maintain analytical accuracy while dramatically improving processing efficiency by automatically extracting, validating, and synthesizing information from multiple sources.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the processing parameters by using AI models and automated algorithms that can handle complex data patterns more efficiently than traditional methods. The system transforms data processing from manual step-by-step analysis to automated computational processes that maintain precision while increasing speed and efficiency.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260004059A1Systems and methods for sustainability report generation

Publication Date: 2026.01.01 SCHLUMBERGER TECH CORP

AI summary

A tangible, non-transitory, computer-readable medium including instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to transmit a set of sustainability data to a computer vision model for extraction into a textualized set of sustainability data, divide the textualized set of sustainability data into one or more subsets of textualized sustainability data, transmit the one or more subsets of textualized sustainability data to an artificial intelligence (AI) model, transmit at least one instruction to the AI model to elicit summarization the one or more subsets of textualized sustainability data into a summarized dataset, and generate a sustainability report by the AI model as a graphical user interface on a display utilizing the summarized dataset, wherein the sustainability report includes a textual representation of the summarized dataset.