Moglix launches Cognilix, an AI-led operating system for B2B procurement, committing $5 million to embed AI into enterprise supply chains.
Moglix on Tuesday announced the launch of Cognilix, an artificial intelligence–led operating system designed to reshape how enterprises manage procurement, inventory, supplier collaboration, and B2B commerce. The company also disclosed plans to invest $5 million to expand AI research and develop vertical-specific enterprise products under the Cognilix platform.
The launch reflects a broader shift underway in enterprise technology, as AI moves from experimentation to expectation—and from supporting individual decisions to shaping how daily operations run at scale.
“Over the last few years, AI has moved from experimentation to expectation,” said Rahul Garg, founder and chief executive of Moglix. “What is changing now is its role—from supporting individual decisions to shaping how work runs, day after day.”
Cognilix has been built on Moglix’s operating footprint, which spans more than $40 billion in transaction volume, 45,000 suppliers, 1.2 million SKUs, operations across 80 countries, and a network of 58 warehouses. The platform is designed to function as a unified decision layer across procurement, supply chain management, and B2B commerce, while integrating with existing enterprise resource planning systems.
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Rather than positioning AI as a standalone intelligence layer, Moglix is embedding it directly into workflows that govern buying, inventory planning, supplier management, and selling. Cognilix enables automated procurement through AI-led workflows covering digital catalogues, request-for-quotation comparisons, supplier onboarding, compliance checks, competitive e-auctions, and inventory forecasting based on historical usage and lead times.
On the selling side, the platform supports structured B2B commerce through digital storefronts and marketplaces, with integrated order management, payments, logistics, and real-time inventory visibility. A unified data layer standardizes material master data, providing enterprises with clearer insight into spending patterns, supplier performance, and operational efficiency.
“Globally, AI is moving from insight to infrastructure,” Garg said. “The question for enterprises is no longer whether to use AI, but how deeply it can be embedded into the way work runs. As manufacturing and supply chains scale, we need systems that are context-aware, accountable, and resilient.”
Early enterprise deployments of Cognilix have shown reductions in procurement cycle times, improvements in inventory accuracy, higher levels of data standardization, and greater visibility across suppliers and orders, according to the company.
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The investment in Cognilix underscores Moglix’s broader ambition to build enterprise-grade AI platforms from India for global supply chains—grounded less in abstraction than in the realities of operating complex, distributed systems at scale.
