
Forecasting Supplier Emissions at Scale
Months of manual aggregation eliminated and emissions forecasting live in 6 months.

2,000 suppliers mapped to verified emissions and climate targets
Months of manual work eliminated with automated aggregation
New emissions forecasting module co-developed and deployed in 6 months
Hikma
manages Scope 3 emissions with DitchCarbon.
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Overview
A Complex Supply Chain, A Sustainability Mandate
Hikma Pharmaceuticals is a global pharmaceutical company that develops, manufactures, and markets a wide range of generic and branded medications. With operations in the United States, Europe, the Middle East, and North Africa, Hikma delivers high-quality injectable, oral, and topical medicines across therapeutic areas including oncology, cardiovascular health, diabetes, and respiratory care. Faced with the challenge of forecasting emissions across a vast and complex supply chain, Hikma turned to DitchCarbon to automate data collection, improve accuracy, and co-develop a forward-looking emissions forecasting capability.
The Challenge
Flying Blind Across Thousands of Suppliers
Hikma's sustainability team, led from Jordan by Huda Dahabiyeh, needed visibility into supply chain emissions and supplier decarbonization commitments.
Manually researching climate goals for top suppliers and relying on industry-level data was slow, incomplete, and unsustainable.
The effort required to aggregate clean data and reduction targets for even their top 200 suppliers was a heavy lift — making it impossible to scale across thousands of vendors. As Hikma prepared to align procurement with their climate strategy, they needed a more scalable and reliable solution.
The Solution
Automated Data, Built-to-Order Forecasting
Hikma partnered with DitchCarbon to automate supplier data aggregation and enable emissions forecasting. Key elements included:
- Automated aggregation of publicly disclosed supplier emissions and climate action data — no surveys required
- Coverage expanded from top 200 suppliers to over 2,000 suppliers
- Co-development of a new emissions forecasting module, iterated with Hikma's feedback to meet their specific needs
- Delivery of structured data via webapp and Excel exports for easy integration into existing workflows
How It Worked
From Supplier List to Emissions Forecast
- Supplier Data: Hikma shared a list of suppliers, beginning with their top 200 and expanding to 2,000.
- Data Cleaning: DitchCarbon's AI cleaned Hikma's input and matched suppliers to publicly disclosed emissions and climate targets.
- Aggregation: Structured supplier-level data was compiled, covering Scope 1, 2, and 3 categories where available.
- Forecasting: Together, Hikma and DitchCarbon iterated on the design of the forecasting module — refining methodologies and visualizations to ensure usability for sustainability and procurement teams.
Results
From 200 to 2,000 Suppliers, With No Extra Manual Work
The project began with weeks spent cleaning supplier data and aggregating it into a usable foundation, followed by six months of collaborative development to bring the forecasting module from concept to production. The result was a system that replaced months of manual data collection and aggregation with an automated process, gave Hikma forward visibility into supplier emissions reductions at key future milestones, and scaled insights from 200 to 2,000 suppliers without adding any manual burden.
Automation
Months of manual data collection and aggregation replaced with an automated process.
Forecasting Capability
Hikma gained visibility into supplier emissions reductions at key future milestones.
Scalability
Expanded insights from 200 to 2,000 suppliers with no additional manual burden.


