GEP®, a leading provider of AI-driven procurement and supply chain software and services to Fortune 500 and Global 2000 enterprises worldwide, announced that Bangalore International Airport Limited (BIAL), operator of Kempegowda International Airport Bengaluru (BLR), has selected GEP SOFTWARE™ to transform its source-to-pay (S2P) operations.
BIAL, a public-private consortium, owns and operates BLR Airport, the third-largest airport in India and the busiest in South India. In FY 2025, BLR Airport welcomed more than 41 million passengers and processed 500,000 metric tonnes of cargo, maintaining its position as India’s No. 1 airport for perishable cargo for the fourth consecutive year.
By deploying GEP’s AI-driven S2P platform, BIAL will streamline sourcing, contracts, supplier management, and procurement operations across its rapidly expanding infrastructure and operations. GEP SOFTWARE will enhance efficiency, strengthen supplier collaboration, and enable BIAL to unlock new value and resilience in its procurement function by:
- Increasing visibility into the entire S2P procurement process, providing better insights to uncover and drive new value
- Leveraging strategic sourcing tools to identify cost-saving opportunities, negotiate effectively, and build strong supplier relationships
- Mitigating risk by enabling comprehensive supplier performance evaluation
- Strengthening its procurement operation by automating routine tasks and improving overall efficiency across procurement operations
GEP SOFTWARE, recently named a Leader in the 2025 Magic Quadrant for Source-to-Pay (S2P) Suites, encompasses GEP SMARTTM, the world’s best procurement software, GEP NEXXETM, the next-generation cloud-native supply chain unified platform, and GEP GREENTM to measure and advance sustainability. GEP SOFTWARE is powered by GEP QUANTUM, the industry’s leading AI-first, low-code platform. It enables clients to drive optimum efficiency, agility, visibility and actionable intelligence into all procurement, purchasing and supply chain functions while eliminating burdensome infrastructure and support costs to achieve maximum ROI.
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