Sustainability

Clavrit collaborates with industries to drive climate action and sustainability initiatives through innovative software development. Our key focus areas include visual data analytics (dashboards) for carbon offset tracking, carbon mapping, impact assessment, circular economy, and upcycling. The majority of these solutions utilize AI and machine learning to provide enhanced analysis and deliver actionable insights. Our team of ESG experts offers specialized guidance to ensure project success.

In collaboration with our acceleration partner, Clavrit supports capital raising efforts from EU impact funds for solutions that meet eligibility requirements for European sustainability funding. To further showcase our expertise in ESG solutions, we provide complimentary advisory services and MVP development support, helping our clients contribute to a more sustainable future.

Case Study 1

Reducing Carbon Footprint in eCommerce Logistics with the Carbon Footprint Calculator

Industry: eCommerce
Product: Carbon Footprint Calculator
Objective: Enables eCommerce retailers to accurately calculate and reduce carbon emissions from logistics
Problem
  • eCommerce retailers couldn’t clearly see how much carbon their deliveries were producing
  • There was no easy, automated way to track or measure emissions, especially for last-mile delivery
Solution
  • Developed a web-based Carbon Footprint Calculator for logistics emissions tracking
  • Integrated live data from shipping partners to enable real-time carbon scoring
  • Connected seamlessly with eCommerce platforms to help retailers monitor, report, and reduce emissions

Results

  • Improved accuracy to track logistics related carbon emissions
  • Identified and reduced most carbon intensive areas in logistics
  • Increased customer trust by being transparent about carbon reduction efforts

Case Study 2

Revolutionizing Fashion Rentals for a Sustainable Future

Product/ Solution: Rental Fashion for Circular Economy
Industry: Fashion & Lifestyle
Objective: Create a sustainable marketplace for fashion rentals, offering brands a new revenue channel while promoting long-term sustainability.
Problem
  • Lack of a unified marketplace connecting brands and consumers for fashion rentals
  • Limited access for customers to rent and return fashion items flexibly across locations
Solution
  • Developed a rental platform using the “Keep Your Stock” model, allowing brands to retain inventory control
  • Enabled data-driven insights into customer rental behavior for product portfolio optimization
  • Introduced a global pick-up and drop-off service for convenient cross-border rentals
  • Built the Resilience Engine, an AI tool for forecasting demand and identifying high-profit “hero” products

Results

  • Opened new revenue streams for brands through rental without losing inventory control
  • Helped brands build optimized product portfolios focused on high-demand, sustainable items
  • Supported sustainability goals by reducing waste and lowering carbon footprints through localized logistics and smarter supply chains

Case Study 3

Optimizing processes through AI and sustainability dashboards

Industry: Healthcare
Product: Solar energy-based Oxygen Generation
Objective: Help facility managers optimize operations, enable preventive maintenance, and improve sustainability through AI-powered dashboards.
Problem
  • Limited visibility into remote, solar-powered oxygen plant operations
  • Manual monitoring of critical, energy-intensive systems in remote areas
  • No unified dashboard to ensure high availability or generate predictive alerts for maintenance and supply continuity
Solution
  • Developed digital tools to onboard healthcare facilities, manage oxygen inventory, and schedule deliveries
  • Automated tracking, refills, and delivery workflows to streamline the oxygen supply chain
  • Built real-time dashboards for operational optimization, maintenance insights, and sustainability tracking

Results

  • Enabled real-time tracking of oxygen production and patient case visualization
  • Improved maintenance planning with predictive insights to avoid equipment failures and reduce costs
  • Delivered sustainability insights by comparing solar vs. electricity-powered plant performance for cost and efficiency benefits