Operationalizing AI to drive rapid insights for tangible business impact

Enterprises across industries are under immense pressure to meet global sustainability standards, their performance closely monitored by governments, investors, and customers alike. Yet, despite their best intentions, most enterprises are behind on their goals because of specific challenges. Lack of data becomes a problem when even those collecting direct emissions data don't track indirect and other emissions across the organizational value chain. On the other hand, enterprise teams are optimizing decarbonization at the local level in siloes. Without the holistic view to make an organization-wide change, these initiatives don’t achieve their potential. The dearth of predictive capabilities is another challenge.

Without the ability to run what-if scenarios and simulations to forecast outcomes, organizations are making significant strategic investments on projects that, at best, produce sub-optimal results. To drive impact with sustainability initiatives, businesses need a holistic view of their enterprise footprint. Tredence's sustainability analytics practice helps businesses take the lead by monitoring their ESG scorecards, identifying impact opportunities, and recommending strategic action to drive optimal business value and future-forward sustainability goals.

Why choose us?


Laser-sharp focus on ESG initiatives of global enterprises, with experience working with CXOs across Europe, US, and Asia


Strategically designed sustainability scorecard brings together emissions data, analytics, and ML models for long-term impact


Strong supply chain practice covering all aspects of the value chain, from procurement and manufacturing to logistics and last-mile adoption

Accelerate your sustainability initiatives with AI and ML