Name: Watershed Climate Platform
Brand: Watershed

Question 1

How many PCFs can customers make?

Accepted Answer

In Watershed, you can build thousands of PCFs in hours. You can edit PCFs to make them reflect your business reality, and edits can be of a single PCF or across your portfolio. For example, in moments, you could update PCFs to account for:

All packaging across products are sourced from FSC-certified forests

All dairy ingredients come from farms are enrolled in methane-reduction program

All suppliers of a specific tier 3 input are in Taiwan and therefore on a 40% renewable grid

A contract manufacturer installed rooftop solar that covers 60% of electricity needs)

All EU last-mile delivery is via electric fleet

Question 2

What sustainability intelligence is built into the AI?

Accepted Answer

Our AI functionality, which includes 19 collaborative agents, was developed and is continuously reviewed by a team of 21 on-staff climate scientists and AI engineers. Our team has documented our AI insights in 15 papers and AI conferences. In addition our product footprinting features were developed in consultation with sustainability leaders at more than 100 major companies with complex supply chains. Finally, Watershed AI has an extensive materials library and a database of 500,000 emissions factors built into the platform.

Question 3

How does the system communicate confidence levels or uncertainty ranges for AI-powered datapoints?

Accepted Answer

Watershed includes scores and reviews to make it clear how precise data is. Every EF mapping has a match score, and the system explains where and why EFs may not be a strong fit for a specific material.

Question 4

How does Watershed handle vague or messy purchasing data?

Accepted Answer

Our AI-powered system enriches and classifies even incomplete or vague data—like “metal fastener” or “resin compound”—into structured inputs for PCF creation. We handle deconstruction, uncertainty scoring, and HS code classification so you can get moving without needing perfect inputs on day one. Where you do have more data, like BOMs, Watershed can easily ingest and reflect those.

Question 5

Can I connect Watershed Product Footprints to my corporate GHG inventory?

Accepted Answer

Absolutely. Watershed's PCFs sync directly into your corporate footprint, so you can see how material-level changes ripple through to emissions. That means you’re not just measuring—you’re managing, optimizing, and proving reductions across your value chain. Because you can reflect actions you’re taking in PCFs and connect them to your corporate footprint, you can track and get credit for decarbonization.

Question 6

Can Watershed Product Footprints incorporate supplier-specific data?

Accepted Answer

Yes. You can inject primary data at any level—from facility energy use to sourcing region to process changes—so your PCFs reflect business reality, not generic assumptions. This means you can track reductions you’ve already made, simulate future actions, and prioritize what data to collect from suppliers next.

Question 7

Can Watershed simulate the impact of procurement changes or product redesigns?

Accepted Answer

Yes. Watershed lets you model “what-if” scenarios—like switching suppliers, adding recycled content, or using clean energy—so you can compare options before making decisions. These simulations help prioritize high-impact actions and show the carbon ROI of procurement strategies.

Question 8

Can I see a live test using data relevant to my supply chain?

Accepted Answer

Absolutely. Watershed can provide a live test of AI-powered mapping emissions factors, building PCFs, editing PCFs with supplier data, and more with data relevant to your business.

Question 9

How accurate are Watershed’s PCFs compared to spend-based estimates or EFs from databases?

Accepted Answer

Spend-based estimates give you a rough direction; Watershed’s production graphs give you a clear map. Our system deconstructs every product into the materials that compose it, and each of those material’s into its upstream components and processes using global supply chain intelligence and probabilistic modeling to yield much more granular and accurate results than static emissions factors. Other AI-powered PCF tools stop at mapping a product’s materials to emissions factors, which means users don’t get a clear picture of complex goods’ emissions and can’t pinpoint what drives emissions upstream.

Question 10

Can Watershed demonstrate validation datasets and benchmarking results for its AI?

Accepted Answer

Yes. Watershed regularly publishes research on how we benchmark our results (see one example here). We can also demonstrate validation datasets and benchmarking results in the platform.

		Watershed Product Footprints	Other solutions
Automated mapping to single activity-based EF
Advanced AI to go beyond single EF mappings
Instant AI digital twin of your unique supply chain
Production graphs you can edit, refine, and test
Supports any industry
Hallucination safeguards
Infused with deep sustainability intelligence
Built by team of leading climate science researchers and AI experts
Trusted by world’s largest supply chains

PCFs in moments that reflect your unique supply chain

Product Footprints accelerates Watershed customers

PCFs that protect and drive revenue

Automate PCFs across your portfolio

Create PCF reports for customers

Edit PCFs in an instant to reflect your supply chain

Model scenario impacts of changes to your supply chain

View the full supply chain behind each PCF

Compare emissions and cost side-by-side

Pull PCFs into your corporate footprint

Market lower-carbon goods and pinpoint emissions differences

One flexible platform,  every data source you need

Watershed vs. other solutions

FAQ