GyanSys Logo (White)

Life Sciences

Drive Digital Transformation with SAP S/4HANA.
For life sciences organizations, that are struggling with strategic sourcing and procurement, GyanSys’ industry focused packaged solutions improve visibility across networks and suppliers reducing delays in supply with increased collaboration for effective R&D and enhanced regulatory compliance.

Our solution accelerates time to value and the flexibility to scale quickly, so your organization can keep pace with market demands with minimal business disruption. On average we are able to improve life sciences annual revenue and increase profits by up to 7%.
Best Practices and Pre-Configured Templates
Reduction in Implementation Time
Compliance and Country Specific Requirements

Key Business Scenarios

  • Environmental Health & Safety
  • Recipe Management & Labeling
  • Compliance (FDA, USDA, EMA, CFDA, cGMP, DEA, CAPA)
  • Sample Management
  • Electronic Batch Record
  • Manufacturing for Drug Substance
  • Contract and Toll Manufacturing
  • Product Costing
  • Demand Planning
  • Procurement and Consumption of Inventory
  • Intercompany Stock Transfer
  • Shipping and Billing
  • Rebate and Chargeback
  • Sales Contract Management
  • Returns (Safe Disposal)

Select Customers Who Trust Our Services

Recent News & Updates

Cross-Platform Fiori App with Offline Capabilities for a Biomedical Devices Firm
Our client – a global leader in blood components – faced issues where workers were unable to work from remote locations within their premises due to the lack of wireless connectivity. Read this case study to learn more about how we helped our client by creating a SAP Fiori app capable of working offline; capture 1D and 2D barcodes; and more!
Driving Business Process Efficiency
This presentation covers purchasing and customer service workflows for driving business process efficiencies at Vi-Jon Inc. This session covers the entire implementation lifecycle of the Workflow module from business blueprint, implementation, training, and support. It also addresses challenges faced and lessons learned during the implementation and ongoing production support of this solution.
ERP Deployment at Major Nutrition Brand
A major, global nutrition brand was facing challenges with their existing ERP system. They faced challenges with data repositories in silo and needed faster, more accurate reporting capabilities. Read more to learn how they leveraged SAP BW on HANA to gain the competitive edge. Read this document to learn more about how we helped them face their challenge.
  • "GyanSys partnered led us through this digital transformation journey in replacing our legacy ERP Epicor systems across all manufacturing plants in line with our growth strategy. Their team is an extension of our team. and the project was successful because of GyanSys team’s dedication and willingness to assist us with process transformation leveraging best business practice solutions offered out of SAP S/4HANA."
    CFO, Plastics Manufacturer
  • "GyanSys successfully implemented SAP BW on HANA solution & streamlined our IT infrastructure with SAP Business Suite powered by HANA. This greatly boosted our consolidation process performance from 3.5 hours to 15 mins. in production."
    Sr. Director of IT, Leading Manufacturer of Nutritional Products

GyanSys Solution Labs Combines Lessons Learned with SAP Best Practices

Key Design Considerations

  • Settlement management for processing of rebates and chargeback
  • Output management using new BRF+ functionality for PO and billing
  • Automatic batch determination in process order and delivery
  • Digital signature for result recording, usage decision, and batch master
  • Integration of document management with inspection lot processing
  • Forms and reporting

Key Master Data and Business Process Changes

  • Business partner for customer and vendor master
  • Master recipe, BOM for pharma, animal health, and blood-plasma products
  • Intercompany vendor and customer (business partner)
  • Sample determination & management, and environmental monitoring
  • Pharma-specific characteristics for batch classification
  • PI with multiple steps