Customer Details

Customer
Siemens Healthineers
Country
China
Industry
Healthcare

Implementation Partner

Partner
Valuprosys Technology
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Siemens Healthineers Standardised Its Project Bidding Process Across 70 Countries

Siemens Healthineers, a global medical technology leader operating in over 70 countries, needed a consistent and transparent way to manage project bids at both a regional level in China and a global level. Bidding information was inconsistent, approval flows were not standardised, and stakeholders across regions and product lines lacked timely updates.

Joget’s partner, Valuprosys Technology built two bidding approval systems on Joget — a global system to standardise bids across all regions and a regional system focused on China — each with automated approval routing, classification controls, and real-time notifications to relevant project managers. The result: a fully streamlined, transparent bidding process from submission to approval.

Challenges CHALLENGES

Inconsistent Global Bidding Processes

  • Needed a standardized bidding system to allow regional and global bids to be submitted for medical or healthcare related projects in a fair and transparent environment.

  • On a global level, needed a system to handle the increase in the Siemens projects bidding business with the goal to achieve standardized management of the project bidding process, improve management efficiency and information sharing transparency across regions and countries.

  • Needed a system to handle the project bidding quotation management process on a regional level in China to standardize and improve the management efficiency, transparency and traceability of information through the local bidding process.

Solutions SOLUTIONS

Dual Regional and Global Systems

Two bidding approval systems were built on the Joget platform, each with a unique purpose.
The first system is a Global Bidding Approval System, designed to establish, supplement and streamline the bidding process for projects on a global scale.

This system provides a comprehensive suite of features to improve the quality and accuracy of bidding information, ensuring that project stakeholders have access to the most up-to-date and relevant data.

The second system is a Regional Bidding Approval System, which focuses on establishing and improving bidding information for projects within specific regions.

This system offers advanced classification controls to effectively manage and organize supplementary information related to the bidding process, enabling project stakeholders to easily access the information they need to make informed decisions.

Results RESULTS

Standardised Across 70+ Countries

100%

Optimized bid management

100%

Streamlined approvals

SEAMLESS

Classification controls

"Approval tasks are automatically pushed to the respective approvers based on management process rules — giving every regional and global stakeholder real-time visibility into bidding status."

Able to to start LOA process by tender status and key information system control; and automatically determine the LOA Level according to checklist options and summarize non-conformity items.

According to the management process, approval tasks will be automatically pushed to the respective approvers.

Based on definition of the management roles of the tender, related regions, provinces and product lines, the system will automatically send out notifications to the relevant project managers to provide up-to-date project information and approval statuses.

From a regional perspective, each management role from related regions, provinces and product lines, will have to check their own respective and relevant tender and project information to bid on the tender.

The system has the ability to start LOA process by tender status and key information system control, and automatically determine the LOA Level according to checklist options and summarize non-conformity items.

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Previous How a Middle East Healthcare Authority Went from 30-Minute Paper Registration to Under 5 Minutes
Next A Fortune 100 Insurer Saved $59K and Cut Paper Usage by 60% After Automating Its Approval Process

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