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DURATION
6 weeks
This web-based platform helps organizations support employees in reducing their carbon footprint by giving them access to environmental rebates that match their lifestyle. Employees answer questions about energy use, housing, and transportation; the system then recommends tailored rebates based on their profile.
With AI-driven automation and a dynamic knowledge base, the platform transforms a fragmented, outdated process into a seamless experience that improves participation in eco-conscious programs.
Navigating the realm of energy sustainability rebates and incentives is notoriously complex, with relevant information dispersed across numerous online sources.
These rebates are subject to frequent updates, expirations, and additions, rendering manual tracking an impractical endeavor.
Companies in urban centers with a strong emphasis on sustainable practices and employee engagement in environmental initiatives.
Diverse workplace cultures require an emphasis on inclusivity and accessibility in their approach to sustainability.
Developing a market-ready, user-centric product within a constrained budget and timeframe, while also ensuring the product meets the complex needs of sustainability efforts in corporate settings.
Large-scale projects require environmental documentation, but legacy systems and outdated tools delay reporting and reduce data reliability.
Clients needed a way to:
To address this, the platform was enhanced with a dynamic system to extract rebate information directly from providers' websites, utilizing a combination of OpenAI Assistant and Travility AI for web scraping.This approach streamlined the process in three key steps:
This automated system significantly improved the accuracy and availability of rebate information for users, effectively managing over 16,000 rebates within the platform.
The initial approach, which relied solely on GPT's browser capabilities, fell short in delivering the desired outcomes. The integration of Travility AI's advanced browsing functionality marked a pivotal enhancement, optimizing the search and retrieval process. Coordinating the various technologies and streamlining their functions to work cohesively presented a significant challenge.
Linnify was introduced tot he project dues to its strong product management expertise and previous work experience with the client. Our team conducted discovery, market research, and created the design prototype in less than 6 weeks, providing the sin-off with the ability to run usability test with end users much sooner than expected.
After the final design version of the product was validated, Linnify’s development team, led bu its Product Success Manager, was able to launch a beta version of the product in less than 3 months.
The collaborative efforts that were shared within the team and together with the client’s team contributed to the success of the product launch on time, on budget and on quality.
Our team’s validation-driven mindset and completeness of roles came into play at the right moment for the spin-off, helping them test with users and launch a beta version of the product almost 10 times faster than it had taken them to plan, design, and develop internally for the past two years, mostly due to lack of focus and commitment to the process.
The initial approach, which relied solely on GPT's browser capabilities, fell short in delivering the desired outcomes. The integration of Travility AI's advanced browsing functionality marked a pivotal enhancement, optimizing the search and retrieval process. Coordinating the various technologies and streamlining their functions to work cohesively presented a significant challenge.
The client’s MVP was launched in just 3 months from the start of development after two long years of internal product development version that didn’t see the daylight when it came to reaching the market.
Since its launch, the product has:
The platform successfully leveraged generative AI and intelligent web scraping to unlock access to sustainability rebates for thousands of employees. By combining real-time data extraction with user-specific insights, it removed the biggest barrier to engaging in climate-friendly behavior.
This project expanded Linnify’s capabilities in combining multiple AI systems (LLMs and scraping agents), real-time data integration, and backend scalability. It showcased the team’s ability to work fast and iterate on cutting-edge AI-driven products in the sustainability sector.
It’s an AI-powered web platform that helps employees discover and access personalized environmental rebates in real time, automating search and classification across 16,000+ programs.
The platform combines OpenAI Assistants and Travility AI web scraping to collect, analyze, and match rebate data to each user’s environmental profile, making discovery instant and accurate.
Manual rebate tracking was slow and fragmented. The new AI system centralized data, cut search time from hours to seconds, and improved participation in sustainability programs.
The solution handled over 16,000 rebates, delivered real-time personalization, and enabled the client to launch a validated MVP 10x faster than previous internal efforts.
It proves how generative AI and automation can simplify sustainability engagement, helping organizations scale eco-friendly initiatives and meet ESG goals efficiently.
