Cutting produce quality rejections by 34% with image inspection
Automated visual grading at intake caught quality issues before shipment, reducing costly retailer rejections.
Automated visual grading at intake caught quality issues before shipment, reducing costly retailer rejections.
Traceability records assembled from existing systems, meeting retailer audit requirements without adding grower admin.
Field data, weather and historical yields combined into forecasts accurate enough to plan labour and logistics against.
Travel time, certifications and job duration were balanced automatically, increasing jobs completed per crew per week.
Field inspection notes and images were converted into compliant reports automatically, accelerating remediation decisions.
A knowledge agent gave crews direct answers from technical manuals on-site, reducing downtime and support calls.
Voice-first incident capture increased near-miss reporting, giving safety teams the leading indicators they had been missing.
Variation capture, pricing and client communication were automated, shortening the path from instruction to approved payment.
Equipment telemetry analysis warned maintenance teams before failures, cutting unplanned downtime on critical assets.
Schedule risk was surfaced weeks earlier by analysing progress data, weather and resource availability together.