Smart Footprint Calculator for Retailers

From News Desk

As environmental sustainability becomes a strategic imperative, Clavrit, an IT services company has developed and implemented a carbon footprint calculator, enabling precise measurement and reduction of carbon emissions from logistics operations. This initiative supports the retailer’s sustainability goals by transforming how emissions are tracked, predicted and minimised – at scale.

With transportation of goods being one of the largest contributors to greenhouse gas emissions in the eCommerce sector, the carbon footprint calculator offers a robust, technology-first solution that integrates seamlessly into existing retailer ecosystems. By combining advanced machine learning, real-time data processing and predictive analytics, the platform equips E-commerce businesses with powerful tools to drive sustainable logistics.

Smart, Scalable and Seamless

The platform uses ML models such as XGBoost and Random Forest to calculate emissions from key logistics variables – shipping routes, warehouse locations, transport modes and package specifics. It adapts in real time to dynamic inputs like vehicle types, fuel sources, distances and carrier efficiencies.

Built on a Cloud-native, serverless architecture, the solution supports millions of transactions, offering unmatched scalability and low-latency performance. Through REST APIs and webhooks, it integrates easily with platforms like Shopify and Magento, enabling real-time emissions tracking within retailer workflows.

“We’re proud to have built a scalable, intelligent solution that not only quantifies emissions but actively helps reduce them,” said Amarjeet Dangi, CEO, Clavrit. “This is a big step forward in helping eCommerce businesses align with global sustainability goals while staying competitive,” he added.

Beyond Tracking – Driving Real Change

The platform goes beyond monitoring. Using reinforcement learning algorithms like Deep Q-Networks (DQN), it recommends optimal, low-emission delivery routes. Predictive models such as ARIMA and Prophet forecast emissions trends, helping companies plan smarter for the future.

Geospatial data (PostGIS, Google Maps API) powers intelligent route mapping, while RFID and IoT sensors enhance supply chain visibility. A built-in recommendation engine – leveraging TensorFlow and collaborative filtering – suggests greener carriers and sustainable delivery methods.

To support net-zero goals, the calculator integrates with carbon-neutral shipping providers and allows for automated carbon offset purchases.