November 20, 2024
In an era where sustainability is no longer a choice but a necessity for the F&B industry to thrive and address global challenges, accurate product categorisation has become a cornerstone for assessing the climate impact.
Yet, traditional methods of classification often rely on manual effort, leading to inconsistencies, delays, and inefficiencies that hinder progress—especially for F&B businesses aiming to scale their sustainability initiatives.
inoqo’s AI Classifier is transforming this process, harnessing the power of cutting-edge AI to deliver faster, more accurate, and scalable sustainability assessments. This innovation enables F&B businesses to meet growing demands for Scope 3 emissions reporting and accountability while driving meaningful progress toward a low-impact future.
Transforming Product Categorisation with the AI Classifier
The AI Classifier is a Large Language Model (LLM)-based Retrieval Augmented Generation (RAG) system designed to categorise F&B products into tailored subgroups. This categorisation is the essential first step in evaluating a product’s environmental impact. By parsing minimal product information—such as names, ingredients, and other descriptors—this AI agent uses inoqo’s domain-specific rules to infer the most appropriate category for each product. By seamlessly integrating structured data (such as product attributes) with unstructured data (like text-based guidelines), the Classifier becomes a versatile tool that adapts to our expanding dataset and evolving requirements.
What Makes inoqo’s AI Classifier Unique?
The AI Classifier, a vital component of inoqo’s Product Impact Assessment platform, categorizes F&B products into specific subgroups using inoqo’s proprietary classification system. The classifier's characteristics are designed to meet the rigorous demands of impact assessment:
Centralizing Product Categorization with AI
Traditional methods often depend on LCA experts or consultants, making them complex, costly, slow, and difficult to scale. Similarly, manual product categorisation is labour-intensive and subject to interpretation inconsistencies, which can introduce biases and delay sustainability reporting. By centralising categorisation with AI, inoqo delivers consistent and accurate assessments, eliminating human errors and interpretation discrepancies. This enables high-quality impact analyses to be conducted efficiently at scale, significantly reducing time and resource requirements. Our AI-powered approach not only streamlines processes but also helps achieve a consistent, high-quality outcome—key to meeting the demands of F&B stakeholders and consumers alike.
Data Quality and Privacy – The Backbone of AI Classifier Performance
The performance of the AI Classifier hinges on the quality of the input data. Accurate and comprehensive product information is critical for generating meaningful categorisations and reliable impact assessments. However, challenges often arise with incomplete or inconsistent datasets, which can limit the effectiveness of even the most advanced AI tools. To address these risks, inoqo works closely with its clients to establish clear data guidelines and provide dedicated support throughout the process. By fostering collaboration, we help businesses prioritise high-quality data management, ensuring their sustainability goals are met with accuracy and confidence. While automation significantly reduces human error, it is not a substitute for robust data maintenance. This underscores the shared responsibility between technology providers and businesses to ensure data integrity. Additionally, data privacy and security remain core principles at inoqo. The AI Classifier exclusively processes publicly available data or information shared explicitly by clients for product impact assessments. No sensitive or private information leaves our secure systems, ensuring client trust and regulatory compliance.
Let's Collaborate on Your Scope 3 Emission Reduction!
inoqo’s AI Classifier is just one of the advanced AI tools we have chosen to highlight in this blog post. It revolutionises product categorisation by replacing manual processes with accurate, scalable, and efficient AI-driven solutions. With a strong focus on consistent assessments, data quality, and privacy, it provides a reliable foundation for addressing the sustainability challenges many companies face in their Scope 3 emissions reporting. Reach out to us at hello@inoqo.com to explore how we can guide your business towards a low-impact future.
November 20, 2024
by Laura
from inoqo