Streamlining procurement for seamless production
Empowering One of The World’s Largest Brewing Companies in Making Smarter Procurement Strategies Through AI and Machine Learning Capabilities
One of the world's largest brewing companies owns about 167 breweries in over 70 countries. It makes 250 local, regional, international, and specialty beers as well as ciders, and employs around 73,000 people. Through ‘Brewing a Better World’, the company has embedded sustainability in the business and delivers value for all stakeholders.
The client’s challenges
The company was facing several challenges in raw material procurement, including:
- Manual intervention in crop yield estimation
- Inadequate monitoring with no standard benchmarks
- Inaccurate plot level yield reporting
- Mismatch in manual yield estimation and actual yield
- Inconsistent yield and production forecast
- Intentional data manipulation
How Cropin helped
The company partnered with Cropin and leveraged Cropin’s AI-led predictive solution to map eight Nigerian states of Kaduna, Kano, Jigawa, Gombe, Yobe, Katsina, Borno and Niger. The objective was to:
- Identify and map sorghum growing areas
- Collate details on hectarage planted
- Monitor crop health
- Accurately predict yield
It monitored crop health to ensure quality produce. Digitization helped with accurate yield estimation and supported seamless procurement strategy and production. Cropin provided data-driven insights for a fraction of traditional costs.
Impact
- Cropin’s successful implementation helped to analyze over 25 million hectares of land.
- Crop classification was used for monitoring nine cover crops (maize, barley, cotton, sesame, paddy, groundnut, millet, and soybean) grown along with sorghum.
- Health monitoring, yield, and acreage prediction for sorghum specifically achieved with 84% accuracy.
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One of the world's largest brewing companies owns about 167 breweries in over 70 countries. It makes 250 local, regional, international, and specialty beers as well as ciders, and employs around 73,000 people. Through ‘Brewing a Better World’, the company has embedded sustainability in the business and delivers value for all stakeholders.
The client’s challenges
The company was facing several challenges in raw material procurement, including:
- Manual intervention in crop yield estimation
- Inadequate monitoring with no standard benchmarks
- Inaccurate plot level yield reporting
- Mismatch in manual yield estimation and actual yield
- Inconsistent yield and production forecast
- Intentional data manipulation
How Cropin helped
The company partnered with Cropin and leveraged Cropin’s AI-led predictive solution to map eight Nigerian states of Kaduna, Kano, Jigawa, Gombe, Yobe, Katsina, Borno and Niger. The objective was to:
- Identify and map sorghum growing areas
- Collate details on hectarage planted
- Monitor crop health
- Accurately predict yield
It monitored crop health to ensure quality produce. Digitization helped with accurate yield estimation and supported seamless procurement strategy and production. Cropin provided data-driven insights for a fraction of traditional costs.
Impact
- Cropin’s successful implementation helped to analyze over 25 million hectares of land.
- Crop classification was used for monitoring nine cover crops (maize, barley, cotton, sesame, paddy, groundnut, millet, and soybean) grown along with sorghum.
- Health monitoring, yield, and acreage prediction for sorghum specifically achieved with 84% accuracy.