Global roll-out of Coupa for P2P transformation of Global CPG major
Managed multiple enhancements through modular design to meet market-specific needs with a single design. Provided configurable solutions controlled through master data attributes to switch ON / OFF as per Business need.
Transforming contract lifecycle management (CLM) for a global FMCG major
Managed multiple enhancements through modular design to meet market-specific needs with a single design. Provided configurable solutions controlled through master data attributes to switch ON / OFF as per Business need.
IBP – S&OP Enhancements for Health Product Major
Managed multiple enhancements through modular design to meet market-specific needs with a single design. Provided configurable solutions controlled through master data attributes to switch ON / OFF as per Business need.
IBP – Supply Integration for Food Processing Major
Integration to get critical parameters from SAP ECC / APO would consume significant effort from Business Users. Our Framework enables Business to provide critical needs in the initial phase, covering all possible scenarios. Validation methodology reduces the business effort spent
A global CPG major transformed its Procurement Planning process through SAP Integrated Business Planning
Implemented end to end Solution for Procurement Planning through SAP IBP - Supply module. The Solution also integrates with SAP ECC for the Master Data & Transaction data required for the Planning. The solution reduced the manual intervention by 40%
IBP – S&OP Stabilization for Health Product Major
Rolled out IBP S&OP Solution across 3 Markets and improved the Tool adoption for 4 Markets. Market specific complex process has been simplified through standard IBP features and modular design. Resolved persistent integration issues with permanent solutions and Zero rejection,
IBP Demand Planning for Food Processing Major
Developed an end to end Demand planning solution integrating SAP ECC & APO to generate forecast through various statistical models with near real time execution data. The solution has improved the forecast accuracy by 35% thus reducing the manual interventions