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Improving yield forecasting accuracy with the Calibo Data Fabric Studio

Agriculture company, mid-sized, USA

Pain points addressed

Education certification

Overall customer satisfaction 

Inconsistent yield forecasting caused supply chain disruptions, delayed shipments, and unmet demand. Lack of real-time data worsened the issue, leaving customers uninformed, damaging trust, and reducing repeat business.

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Manual processes for yield forecast

The company’s approach to forecasting was largely manual, relying heavily on the acumen of their harvest planners. This method didn't embrace the wide array of data potentially at their fingertips.

Data Fabric Studio dfs

Yield forecast accuracy

Manual yield forecasting and underutilized data resulted in accuracy below 88%. Challenges included outdated tech, difficult to scale, and too many siloed systems, slowing development work.

Data driven decision making

Limited skills & resources

Limited business and IT resources led to skill deficits and a lack of specialized knowledge, hindering accurate yield forecasting and optimal productivity.

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"Instead of building our own digital ecosystem—which would have taken 12-18 months—we were able to start within 8 weeks, thanks to Calibo's platform.  For one application, we improved yield forecasting by 7%, resulting in millions of USD in savings within the first three quarters after implementation."

Chief Information Officer

Cutomer

Solution

  • The solution, crafted by Calibo using their Data Fabric Studio, leveraged advanced data science and forecasting methodologies to significantly enhance prediction capabilities, ensuring high accuracy and reliability.
  • It automated the data pipeline, which greatly minimized the need for manual labor and substantially increased the accuracy of forecasts, allowing for more dependable and timely insights.
  • Data from multiple channels was funneled and processed through this automated pipeline, ensuring seamless integration and efficient handling of diverse data sources, resulting in a more comprehensive analysis.
  • Users benefited from a centralized self-service platform equipped with smart algorithms and user-friendly interfaces, simplifying the complex process of yield analysis and making it more accessible.
  • This centralized platform, with its intelligent algorithms, allowed users to effortlessly run complex data science models, derive actionable insights, and make informed decisions with greater ease and efficiency.
  • The intuitive design of the user interfaces ensured that information was easily accessible and comprehensible, enabling users to analyze yield patterns effectively and make strategic decisions based on accurate data.

Post-implementation benefits and outcomes

  • The customer saved several months of development time using Calibo, reducing the build time of a best-of-breed tech stack from 12-18 months to just 8 weeks, enabling faster realization of data and digital initiatives.
  • Yield prediction accuracy improved with robust and customizable AI/ML models in the platform.
  • Automated systems provided insightful correlations of multiple variables, leading to dependable and precise predictions, and enabling better insights and proactive operational improvements.
  • The farming data, sourced from diverse channels, is now seamlessly collected and channeled through an automated data pipeline into a handy self-service platform.
  • Users are empowered to run data science algorithms without a hitch and have access to user-friendly dashboards and insights to understand yield patterns.
  • Smart, intuitive interfaces layout information across different parameters for easy review and in-depth analysis.
  • With the platform, reusable components and automated capabilities allow for rapid ideation to deployment, cutting development time significantly.
  • Business-impacting applications can now be built within half the time compared to previous methods.

Results

88-95%

Improvement in yield forecasting accuracy

Yield forecasting improved by 7%, from 88% to 95%.

$M

saved millions of USD in the first three quarters

The increased accuracy also saved 900+ tons of tomatoes from potential wastage per quarter.

50%

faster development of business applications

Business-impacting applications can now be built within half of the time with Calibo, as opposed to previously.

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