Custom applications using SAP for better asset tracking and delivery for Bayer



About the Client:

Bayer USA is a subsidiary of Bayer AG and has three divisions – Crop Science, Health Care and Material Science.

It is a global enterprise with core competencies in the fields of healthcare, agriculture and high-tech polymer materials. The
company specializes in science and medicine. It manufactures healthcare and agricultural products; and high-tech polymer

The health care products include pharmaceuticals, animal, consumer, and diabetes care products.

HealthCare Industry

The Project Challenges:

Forecasting inefficiencies, purchase requisitions and unpredictive visibility in the supply chain management in the organization were some of the major concerns Bayer was struggling with. They reached Visvero for help find an effective solution providing end-to-end visibility for risk mitigation and improved procurement.

Their business need of the hour:

  • To gain increased visibility into the supply chain processes.
  • To better track and monitor requisition spending.
  • Improve the quality of planning and forecasting.
Visvero's Solutions Approach:

Visvero implemented an integrated data sharing solution to enhance control, visibility and monitor the key performance indicators (KPIs) in the supply chain management system. We built a supply chain planning application to coordinate assets to optimize the delivery of goods and services, and information from supplier to customer, balancing supply and demand.

Overall Performance & Results:

Visvero’s approach ensured efficiency in purchase requisition, resolved issues and helped in accurate forecast and planning. With our help Bayer was able to

  • integrated supplier/vendor data sharing solution to have a single view of the facts
  • Advance Planning application to better predict the future outlook
  • Spend analytics application to trim excess spending in the procurement process
  • More accurate decision making as the planning horizon visibility increased from 4 weeks to 7 weeks.
  • Faster decisions as the amount of planning time was reduced by one-third.
Technologies Used:

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