Mondra - Hyper-modelled Scope 3 Carbon Accounting across Food Supply Chains

在这个项目下，蒙德拉全球有限公司寻求120万英镑的创新贷款资金，用于实验开发（建造和现实世界的试点），以提供一个改变游戏规则的解决方案，用于动态评估和减少全球食品供应链的碳排放。该解决方案利用自动化、机器学习和预测分析来推动全系统的脱碳。商业需求：越来越多的碳监管正迫使食品公司考虑到90%的排放被“困”在产品供应链中。挑战：供应链（“范围3”）排放信息难以获取或未知，在数据共享和可追溯性方面存在重大障碍。机遇：零售商做出净零承诺，包括范围3和与农民合作以提高绩效（英国零售商联盟，BRC-2020）。缺乏可扩展的解决方案来测量和监控“从源头到货架”的产品生态性能。最近的技术：传统的碳建模是一项由顾问主导的手工活动，它将产品范围分解为成分量，并映射到旧的/过时的参考数据。每个产品需要花费数天/数周的时间，与现实的相似性有限，缺乏准确性和可操作的洞察力。针对供应链原始数据的更准确/更有洞察力的生命周期评估（LCA）方法通常是由顾问主导的，费力且成本高昂。改变游戏规则的解决方案- Mondra“超级建模”：我们将与联盟合作伙伴合作，为零售商/品牌所有者提供Mondra超级建模，这是一种可扩展的，“即时可用”的供应链环境洞察服务。该解决方案直接使用来自30家零售商和25万家供应商的大量预验证数据。数据包括食品成分/包装/供应链，直至农民/种植者。利用最先进的遥感/小面积估算技术评估农业生态影响，该技术基于每年对35万农民进行的实地农业数据调查，这些数据是全球插值的，并通过卫星遥测进行验证。在没有原始数据的情况下，Mondra ml缺口填充引擎会完成树的绘制，并计算“从源头到货架”的环境影响数据（温室气体排放/水资源短缺/富营养化/生物多样性），为零售商/品牌所有者提供“即服务”消费的见解/建议。目标和产出：商业级超级建模平台的实验开发和现实世界试点。蒙德拉屡获殊荣的管理团队与甲骨文和我们的数据合作伙伴合作，拥有领导这一合作伙伴关系的经验，并得到了3Keel（分包商）的支持，3Keel是市场领先的可持续发展咨询公司，也是英国零售联盟（BRC） NetZero2040路线图的作者。

Under this project, Mondra Global Limited seeks £1.2M innovation loan funding for experimental development (build and real-world-pilot) to deliver a game-changing solution for dynamically assessing and reducing carbon emissions across global food supply chains. The solution leverages automation, machine-learning and predictive analytics to drive system-wide decarbonisation.Business need: Increasing carbon-regulation is forcing food corporations to consider the 90% of emissions "trapped" in product supply chains.Challenge: Information on supply-chain ("Scope 3") emissions is inaccessible or unknown, with major barriers to data sharing and traceability.Opportunity: Retailers making Net-Zero pledges that include scope-3 and collaboration with farmers to improve performance (British-Retail-Consortium, BRC-2020). Lacking a scalable solution for measuring and monitoring 'source to shelf' product eco-performance.Nearest-state-art: Traditional carbon modelling is a manual, consultant-led activity which breaks down product-ranges into ingredient volumes and maps to old/outdated reference-data. Takes days/weeks per product and bears limited resemblance to reality, lacks accuracy and actionable insight.A more accurate/insightful Life-Cycle-Assessment (LCA) approach which targets primary data from supply chains is typically consultant-led, laborious and prohibitively costly at scale.Game-changing solution - Mondra 'Hyper-modelling':Working with consortium partners, we will deliver Mondra Hyper-modelling, an ultra-scalable, 'instantly-available' supply chain environmental insights service for Retailers/Brand-owners.The solution directly consumes a wealth of pre-verified data from 30 Retailers and 250,000 suppliers. Data includes food product composition/packaging/supply-chain down to farmers/growers. Agricultural eco-impact is assessed using cutting-edge remote-sensing/small area estimation techniques based on 350K farmers surveyed annually for field-level farm data that is interpolated for the world and verified with satellite telemetry.Where primary data is unavailable, Mondra ML-gap filling engine completes the tree and 'source to shelf' environmental impact figures are calculated (GHG-emissions/water-scarcity/eutrophication/biodiversity), with insights/recommendations for Retailer/Brand owners to consume 'as-a-service'.Objectives & outputs: Experimental-development and real-world pilots for commercial-grade Hyper-modelling platform.Working with Oracle and our data partners, Mondra's award-winning management team has the experience to lead this partnership, supported by 3Keel (subcontractor), market-leading sustainability consultancy and authors of the British Retail Consortium (BRC) NetZero2040 roadmap.