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Stopping life-threatening contamination before it starts revolutionizes food safety
技术
- 分析与建模 - 大数据分析
适用行业
- 食品与饮料
适用功能
- 质量保证
用例
- 食品安全管理
- 质量预测分析
服务
- 数据科学服务
挑战
每年有超过 200 万人死于食源性疾病，全球丢弃的食品价值超过 750 亿美元。对于美国玛氏公司等食品分销商来说，每次食品召回至少要花费 1000 万美元。玛氏公司没有办法测试其数千种食品成分，因此其对病原体的反应主要是被动的。
关于客户
玛氏公司成立于 1911 年，在世界各地销售糖果、包装食品和宠物食品。其产品包括士力架、M&M'S、UNCLE BEN'S 品牌大米和宝路宠物食品等知名品牌。该公司总部位于弗吉尼亚州，在全球拥有超过 75,000 名员工。
解决方案
通过对普通食品成分中存在的数千种微生物进行取样，并使用复杂的算法分析这些海量数据，玛氏正在建立基准，以确定哪些条件可能导致污染。有了这些信息，全球食品制造商就可以预测并阻止污染，防止污染进入公众视野。
运营影响
数量效益
相关案例.
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