Go beyond checklists — automate disclosures, forecast risks, and embed sustainability into every business unit
Real-time carbon insights across Scope 1, 2, and 3 — for every site, supplier, and shipment
Smart tech gives you full visibility — from the forest to the factory, from mine to market
From material selection to recyclability scoring, every product starts and ends with sustainability in mind
Usage : Leverage smart sensors, AI analytics, and ERP-integrated carbon calculators to automatically track Scope 1, 2, and 3 emissions across all operations, logistics, and supply chain nodes.
Impact : Enables accurate GHG accounting, faster ESG reporting, and carbon reduction strategies tailored by department or process.
Usage : Use AI and Natural Language Processing (NLP) to extract data from internal systems, supplier documents, and audit reports, and auto-generate disclosures for BRSR, GRI, CDP, and EU CSRD frameworks.
Impact : Reduces manual reporting time by up to 70%, ensures standard compliance, and enhances transparency for investors and regulators.
Automated insights, predictive dashboards, and policy compliance — all in one ESG control tower
Track returns, recycling, and reuse — and quantify every unit that doesn’t go to waste
Use AI and NLP to convert raw data into globally compliant ESG disclosures — on time, every time
Make your sustainability visible — from raw material origin to carbon impact and recyclability
Usage : Apply AI-driven tools to evaluate supplier ESG metrics, energy intensity, labor practices, and waste generation. Smart dashboards flag high-risk vendors and suggest greener alternatives. Smart platforms track product returns, refurbishments, reuse, and material recovery using QR codes and IoT sensors in real time.
Impact : Drives sustainable procurement decisions, reduces ESG exposure, and improves stakeholder confidence. Enables true closed-loop systems, supports EPR compliance, and quantifies environmental and financial gains.
Usage : Create blockchain-backed passports for products, capturing source materials, energy usage, carbon intensity, and recyclability data across the value chain.
Impact : Supports circular economy initiatives, enhances end-consumer trust, and meets upcoming regulatory mandates in the EU and beyond.
Usage : Use machine learning models to recommend low-impact materials, optimize packaging, and design for durability, recyclability, or biodegradability. Enable leadership to monitor ESG KPIs in real-time across business units using AI-powered dashboards that offer forecasts, alerts, and scenario analysis.
Impact : Reduces environmental footprint and ensures compliance with EPR and plastic waste regulations. Drives executive alignment with ESG goals, integrates sustainability into financial performance, and de-risks decision-making.
AI + satellite imaging delivers early alerts for deforestation, land use, and water stress — before they hit your scorecard
From factory emissions to boardroom decisions — design for a decarbonized tomorrow, today