Inconsistent ERP data slowed carbon planning for 8 weeks. AI cleans 300k points to map abatement costs in one week.
A global agricultural machinery manufacturer operating sites across Europe, Asia, and the Americas aimed to reduce its emissions by 90 percent by 2050.
Inconsistent data formats across diverse ERP systems prevented accurate tracking of carbon sources, making it difficult to identify financially...
“The agriculture industry is a key part of the solution to combatting climate change. We’ve committed to bringing smart solutions to our farmer customers to increase sustainable agricultural practices across the globe.”
Agricultural machinery and precision farming technology manufacturer.
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Dealers lost hours sifting through manuals. AI now provides instant diagnostic paths, scaling support capacity from 10:1 to 1,000:1.
Manual onboarding took 4 days per client. AI now deploys systems in 3 hours, letting teams measure emissions 5x faster.
Manual audits for 800 sites would take years. AI generated virtual energy audits and costed roadmaps for the entire portfolio in 8 weeks.
Patent strategy relied on subjective manual judgment. AI now standardizes analysis, cutting research cycles from months to days.
IT staff logged in every six hours to check 30 systems. GenAI now automates monitoring, saving 3,000 hours and ending downtime risk.
Scattered manual research slowed high-stakes answers. GenAI now cuts analysis from weeks to minutes for 13,000 employees.
Analysts struggled to track trends across scattered sources. AI now expands queries to catch every patent and press release instantly.