Ayekart Rolls Out AI-driven Platform to Tighten Visibility Across Agri-food Supply Chains

Ayekart Rolls Out AI-driven Platform to Tighten Visibility Across Agri-food Supply Chains

New Delhi: Ayekart has introduced Aantriva, an AI-enabled platform aimed at improving transparency and decision-making across India’s fragmented agri-food supply chain. The launch comes at a time when agri-focused enterprises and financial institutions are seeking more reliable data to manage sourcing, processing and distribution challenges.

The company said Aantriva is built on insights gathered from its existing network, which includes over 3,00,000 farmers, more than 530 farmer producer organisations (FPOs) and nearly 30,000 retailers. The platform brings these stakeholders into a unified digital environment to streamline market linkages, reduce information gaps and create verifiable transaction records.

A key focus of Aantriva is to consolidate diverse datasets—ranging from crop and weather information to pricing trends and policy updates- so that users can make timely operational decisions. The platform uses GIS-based crop and weather intelligence, demand forecasting tools and inventory optimisation features to help producers and buyers anticipate market conditions. It also integrates digital traceability and faster settlement processes to support transparent workflows across the value chain.

For lenders and financial institutions, the platform offers verified digital trails that can help assess operational risks and creditworthiness. Ayekart’s Co-founder and CEO Debarshi Dutta said the intent is to reduce inefficiencies caused by dispersed data and limited visibility, which continue to affect supply-chain predictability in the sector.

Ayekart noted that Aantriva will evolve with additional intelligence-led capabilities as the ecosystem shifts towards more data-driven operations. The launch reflects a broader push within agritech to strengthen supply-chain reliability through integrated, evidence-based digital systems rather than isolated, manual processes.

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