Procol, an AI-based procurement technology company, said its platform has helped manufacturing enterprises reduce procurement cycle times by 75% through AI-led automation and connected workflows.
The company works with more than 150 manufacturing businesses across over 10 countries, including Havells, Emami, Jindal, Blue Star, Somany Ceramics and Aditya Birla Group. According to Procol, its platform has delivered efficiency gains of more than 50%, reduced procurement cycles by up to 80% and generated cost savings of up to 10% across its customer base.
Manufacturing procurement involves coordinating purchases across multiple plants, suppliers, categories and internal teams. Manual supplier follow-ups, fragmented systems, lengthy approval processes and limited visibility into spending can delay purchasing decisions and complicate procurement management across locations.
Procol said its platform uses AI agents to automate activities across the procurement lifecycle, connecting processes rather than digitising individual steps in isolation.
AI automation across procurement workflows
Procol’s platform automates activities across the source-to-pay cycle, including requests for quotations (RFQs), requests for proposals (RFPs), electronic auctions, supplier onboarding, approvals and accounts payable.
The platform integrates with existing enterprise systems, including SAP and Oracle, through two-way, real-time data synchronisation. This allows businesses to automate procurement workflows while continuing to use their existing systems of record.
By connecting activities across the procurement lifecycle, the company aims to reduce manual coordination and improve visibility into purchasing processes. Procol said its implementations have saved buyers more than 8,100 hours of manual effort.
The company said the platform helps procurement teams track workflows, coordinate activities and spend more time on strategic sourcing, supplier relationships and cost optimisation.
Gaurav Baheti, CEO and Co-founder of Procol, said manufacturing procurement affects costs, production continuity and supplier performance. He said manual coordination, fragmented systems and multiple approval layers can delay purchasing processes and affect productivity.
Baheti said the company’s approach moves beyond digitising workflows towards autonomous execution across the procurement lifecycle. He cited a 75% reduction in procurement cycle time in Procol’s implementations as an example of how AI agents can improve operational efficiency.
Procurement technology for multi-plant operations
For manufacturers operating across multiple plants, procurement processes need to remain consistent while accommodating different suppliers, purchasing categories and internal approval requirements.
Procol said its platform is designed to bring AI-led execution into existing procurement environments rather than require businesses to replace their current enterprise systems.
The company currently manages more than $30 billion in spend and said it has generated over $1 billion in savings across its customer base.
Its stated focus is on standardising purchasing processes across manufacturing operations while automating repetitive tasks and connecting workflows. The approach allows enterprises to introduce AI-led procurement execution within their existing systems.
Procol’s reported results point to procurement cycle time, manual effort and cost savings as key measures of the platform’s impact. The company said its technology is being used by manufacturing businesses to streamline procurement workflows and improve operational efficiency.