Automated Mapping or How the food industry stopped the LCA and loved machine learning
Here are the facts:
– In 1969, Life Cycle Assessment was born, measuring the climate impact of the CocaCola packaging. 53 years later, little has changed: The food industry is still neck-deep in measuring emissions, barely dipping its toes in managing them.
– Since 1969, the tech industry has perfected the measuring machine that runs en masse calculations automatically – better and faster than humans ever could.
– In 2020, the CarbonCloud canvas inscribed the science of measuring climate impact in this machine. The food industry could finally calculate the climate impact of a product without getting buried under a mountain of science. But there was more to be done.
– In 2022, CarbonCloud introduces the software solution for measuring emissions at scale and offers it to the hands of the food industry: Automated Mapping concludes the problem of measuring and opens the chapter of managing emissions.
And here is the story: To measure the climate impact of a single food product for a year with a life cycle assessment, you would need six months, $50,000, a specialist, and an extensive set of data begging to be gathered, spread over tens of suppliers. Now imagine the demand for a portfolio of 1,000 products. How does the food industry allow this amount of time, money, and brainpower for a questionable, static result?
Food industry, meet computers and machine learning. Their strongest suit is doing these exact calculations cheaper, quicker, better, and for hundreds of items at once. Perhaps, handing over the calculations to them would give you back the agency to remember why you started measuring emissions in the first place: To manage them. Perhaps the agency and resources saved from handing over all the measuring can go into managing and reducing emissions instead.
CarbonCloud proudly presents Automated Mapping, the technology that inaugurates the era of emissions management for food. Automated Mapping is the outcome of computers doing what they do better than humans: Lightning-speed faultless calculations at scale and automating manual labor. Automated Mapping automates the paralyzing task of gathering data throughout the food supply chain and measuring them so that the 2 billion people in the food industry can focus on what they do better than computers: Use insights to strategize.
David Bryngelsson, PhD, CEO & Founder at CarbonCloud
Hundreds of real-time, high-accuracy climate footprints within days are merely the tip of the iceberg. The magic lies in the remaining 90%: a complete model of the supply chain for every product. Food producers can get started with readily available data they use daily: product names, ingredient list, and country of origin. A Natural Language Processing machine scans portfolios with thousands of products and programmatically matches each product to its supply chain model.
Powered by a high-definition map of the food system, the most comprehensive climate footprint dataset, an advanced logistics module, and a sweeping library of refinement processes, Automated Mapping architects the full map and supply chain of every product: Production processes, logistics chains, and supplier networks – with the same and higher accuracy and granularity as month-long LCAs.
Automated Mapping marks the tipping point of climate strategies, from the era of calculating emissions to the era of reducing emissions – impactfully and efficiently. It is a singular opportunity for the food industry to focus their climate efforts on what matters for their portfolio, to design and march on their climate strategy roadmap quicker than ever.
Ready to meet Automated Mapping & start managing your emissions?
If you are the “I’ll believe when I see it” type, we’d be thrilled to take up the challenge!