Ayekart, one of India’s fastest-growing integrated agri-food networks, has introduced Aantriva, an AI-enabled platform designed to bring long-overdue structure, transparency and intelligence to the country’s highly fragmented agri-food value chain. The launch marks a significant step in digitizing a sector long constrained by information asymmetry, inconsistent quality flows and the absence of verifiable data infrastructure.

Despite strong growth across agriculture, food processing and FMCG, India’s agri-food system continues to function through disconnected value pools. Farmers and FPOs frequently face volatile market access, delayed payment cycles and inadequate price discovery. Processors navigate uneven supply patterns, quality fluctuations and working-capital bottlenecks. FMCG companies operate without deep visibility into consumption behaviour, demographic shifts or distribution performance. Financial institutions struggle with incomplete digital trails, making risk assessment and credit design inefficient.

Aantriva has been built to address these structural challenges by integrating weather, price, GIS and policy data into a single predictive intelligence layer. For farmers and FPOs, the platform enhances market linkages, strengthens price discovery, accelerates settlements and delivers climate- and crop-related advisory services. By creating verifiable transaction records, it supports the development of credit histories that can help lift farm incomes and improve access to formal finance.

For processors, manufacturers and FMCG brands, Aantriva provides a data-backed workflow for procurement planning, demand forecasting and inventory optimisation. Rich visibility into regional consumption and demographic patterns allows companies to refine sourcing strategies, calibrate production and reduce inefficiencies across distribution networks. The system’s ability to establish end-to-end traceability also supports compliance and quality assurance.

Banks and financial institutions gain access to authenticated transaction trails, structured merchant data and smart-contract-driven risk signals, enabling more accurate underwriting and product customisation. The platform is expected to unlock better-designed credit offerings, including priority sector lending products and insurance tailored to the realities of the agri-food ecosystem.

By embedding predictive analytics into a traditionally opaque system, Aantriva aims to drive more reliable procurement cycles, closer alignment between supply and demand, traceable movement of goods and a significantly more credible data environment for lenders. As adoption expands, the platform is positioned to reduce avoidable losses, strengthen supply-chain resilience and equip all participants—from farmers to FMCG majors—with the information needed for timely, market-aligned decision-making.