Developing a barcode scanning app to optimize berry harvesting
Increase in harvesting efficiency
25%Transition from zero visibility to real-time accuracy
Crop loss significantly reducedBarcode scans processed daily
50,000+THE CHALLENGE
How to digitalize the berry-picking process for greater accuracy and efficiency?
Wish Farms, one of the largest berry suppliers in the US, faced a logistical challenge: ensuring real-time tracking of fruit collection while minimizing losses that directly impacted revenue. The traditional process relied on manual records, often leading to miscounts, delays, and inaccuracies in harvest data. These inefficiencies resulted in significant crop losses, reducing overall yield and cutting into the company’s potential profits.
With large-scale operations across varying weather conditions, from intense heat to heavy rain, field workers needed a rugged, intuitive, and highly responsive mobile application. The system had to process hundreds of thousands of barcode scans daily while ensuring seamless usability, even when workers wore gloves.
Wish Farms engaged our team to develop a React Native-based solution that could withstand demanding field conditions while offering real-time data accuracy, automation, and improved workflow visibility.
Jason GranatDirector of Information SystemsThe consultants and DevOps teams were very responsive, providing timely and effective support at crucial stages. We were impressed by their proficiency and quick problem-solving, which contributed to the smooth execution and success of our project.
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Book a free consultationTHE SOLUTION
A high-performance barcode scanning app for real-time harvest tracking
Lightning-fast scanning with real-time data sync
The app processes thousands of QR and barcodes per minute, instantly validating entries, preventing duplicate scans, and syncing data to a centralized database. Designed for field resilience, it operates seamlessly, even in direct sunlight or on overheated devices.
Optimized UI for workers in the field
Since field workers often wear gloves, high-contrast buttons and large touch zones were implemented, ensuring easy navigation. The interface prioritizes clarity, simplicity, and quick access to essential features, preventing workflow disruptions.
Training mode for rapid onboarding
A simulation mode allows new employees to practice scanning without affecting live data. This feature accelerates onboarding, ensuring that workers are confident in using the app before handling actual harvest tracking.
Automated data collection for smarter decision-making
By digitizing berry-picking records, Wish Farms gained a valuable dataset for optimizing labor efficiency, forecasting yields, and minimizing discrepancies in reported vs. actual harvested quantities.
THE RESULT
90% reduction in tracking errors
By automating barcode scanning, the app eliminates discrepancies, miscounts, and lost data, ensuring that each tray of berries is accurately recorded. This level of precision improves inventory management, reduces waste, and enhances the reliability of reports used for strategic decision-making.
Full real-time data visibility
With immediate access to live harvesting data, farm managers can make more informed decisions about labor allocation, logistics, and production planning. The app provides detailed insights into worker productivity, collection rates, and potential inefficiencies, allowing the company to adapt quickly to changing conditions in the field.
Seamless field performance, ensuring reliable use in bright sunlight, remote locations, and areas with no network coverage
With this custom-built barcode scanning app, Wish Farms modernized its harvesting process, improved workflow transparency, and equipped workers with an intuitive tool for tracking berry collection even in offline conditions.
Jason GranatDirector of Information SystemsWe are extremely satisfied with the app design, the expertise and seniority of the developers working on the project, and the availability of resources if assistance is needed.
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