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This multinational company is one of the world’s largest healthcare manufacturers.

They produce pharmaceuticals, medical devices, and consumer products, operating several hundred subsidiaries across more than 60 companies globally and employing over 130,000 people.

Challenges:

Inconsistent Demand Planning

This company managed an inconsistent, convoluted demand planning process, which made it difficult to set a comprehensive production strategy. Navigating its numerous regions and sub-units, the company found it difficult to align on an effective and scalable solution for forecasting. These challenges led to high mean average percentage error and bias, ultimately causing higher costs for the company. To implement a single system that would solve these challenges, the company turned to Spaulding Ridge.

Solution:

Efficient Long-Term Plan: Integrating Change Management and Client Enablement

Spaulding Ridge implemented Anaplan’s PlanIQ tool. To ensure the company had a consistent forecasting process, we established a global Center of Excellence (COE) that would standardize planning processes, sharing best practices amongst several regions. Our global project delivery team worked directly with on-the-ground stakeholders in the company’s regions, allowing us to understand what factors planning needed to adjust for each business unit and region. The COE gave us a process through which offline planning approaches could be centralized in a single online planning tool—Anaplan PlanIQ—which streamlined planning for all team members. This process also allowed company leadership more visibility into the planning process and gives the company more scalable reporting capabilities.

After:

Effective Global Demand Planning

Our implementation improved the company’s demand planning performance and allowed the planning team to work more efficiently, with low/no-touch processes instead of the highly manual approach they previously used. As a result of the global implementation, the company was able to standardize its planning strategy across its regions and business units, further increasing efficiency. The forecasts the company produced also became more accurate, and planners could use these AI-generated forecasts to make better strategic decisions. And because the resulting solution was flexible and customizable, the system we built can grow and change with the company.

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