
Embedding granular climate data into procurement reduces regulatory and supply risks while preserving cost efficiency, accelerating companies’ emissions‑reduction targets.
The procurement function has long been driven by price and lead‑time, leaving environmental impact as a secondary, often manual calculation. As governments tighten carbon reporting standards and investors demand transparent supply‑chain footprints, companies face a data gap: most sustainability platforms rely on global average emission factors that can misrepresent true risk. Turning climate insights into real‑time purchasing decisions requires granular, trustworthy metrics that align with existing ERP workflows. Without such integration, sustainability remains a reporting exercise rather than a competitive advantage.
Unibloom’s Switch AI addresses that gap by embedding AI‑powered agents into SAP’s cloud‑based procurement suite. The platform pulls country‑specific emissions, land‑use and cost data for thousands of raw materials, allowing users to model alternatives across suppliers and regions in seconds. Early tests suggest accuracy improvements of 50 % or more compared with traditional averages, a margin that can materially affect carbon accounting and cost forecasting. By surfacing lower‑impact options without adding decision latency, the tool helps firms meet Science‑Based Targets Initiative (SBTi) commitments while protecting margins.
The collaboration gives SAP’s 440,000 enterprise customers immediate access to this capability, potentially reshaping how supply‑chain risk is managed across industries from consumer goods to heavy manufacturing. As more organizations embed climate metrics into core ERP processes, the competitive pressure to adopt similar solutions will increase, driving a wave of data‑centric sustainability investments. Analysts expect that AI‑enhanced procurement could become a standard feature in next‑generation ERP systems, turning climate‑aware sourcing into a measurable driver of cost savings and brand resilience.
Unibloom is teaming up with SAP to bring agent-driven procurement into the mainstream, launching its new product Unibloom Switch AI to SAP’s vast enterprise ecosystem. The platform uses AI agents and granular, country-level material and ingredient data to help procurement teams compare suppliers, materials, and geographies in minutes — balancing cost, performance, and climate impact in day-to-day purchasing decisions. Through the collaboration, SAP’s 440,000 customers will gain access to richer supply-chain emissions and land-use data that can improve accuracy significantly compared with traditional averages, turning sustainability from a reporting exercise into an operational workflow. In practice, the partnership aims to embed climate-aware decision-making directly into procurement systems, helping companies cut risk, meet reporting requirements, and move faster on emissions targets without sacrificing efficiency or margins.
Unibloom is a Stockholm-, London-, and Bengaluru-based data and AI company focused on procurement and supply-chain decision-making. The company develops tools that combine emissions, land-use, and cost data with AI-driven analysis to help organizations evaluate suppliers, materials, and sourcing options. Its work sits at the intersection of procurement, sustainability, and enterprise software, with a focus on integrating climate and risk considerations into everyday purchasing workflows.
Developed during the Norrsken AI Fixathon, Unibloom Switch combines AI agents, optimized workflows, and reliable data to address one of the biggest challenges in the green transition: turning insights into action across complex, multi-tier supply chains. The tool allows procurement teams to compare alternative suppliers, materials, and geographies, as well as identify relevant financing and support opportunities to reduce risk during implementation.
Through this collaboration, SAP’s 440,000 customers can purchase and integrate detailed ingredient and material data across supplier networks, land use, and land management. Instead of relying on a single global average emissions factor that can produce significant errors, Unibloom offers advanced data that includes country-specific information that can improve accuracy by 50% or more for many common materials. These insights fill key data gaps that exist in most commercial sustainability databases. The partnership enables SAP to provide its ~440,000 customers with high-quality decision support — especially for companies committed to reducing emissions (for example through SBTi targets) or subject to emissions reporting requirements.
“For decades, procurement has been optimized for cost and efficiency, but emissions are now one of the greatest unrecognized business risks,” said Anna Sandgren, founder and CEO of Unibloom. “We built Unibloom to make climate impact as easy to consider as price — without slowing decisions or increasing costs.”
Unlike traditional sustainability tools that focus on reporting, Unibloom is designed for everyday business decisions. The platform’s AI agents recommend lower-impact alternatives across ingredients, materials, suppliers, and locations — helping companies reduce future regulatory, supply, and climate risks.
Founder Anna Sandgren has over 20 years of experience in procurement, business development, and sustainability, including more than a decade as Global Business Development Director at Ben & Jerry’s, as well as prior experience in the mining industry. She founded Unibloom with the ambition to democratize access to climate and cost data and to automate calculations — enabling smarter, more cost-effective insights and business decisions.
“Sustainability doesn’t have to be more expensive,” Sandgren added. “What’s costly is making decisions without the right data.”
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