Case Study
How Driscoll’s turned field workforce complexity into operational control across 150 locations
Driscoll’s is one of the world’s leading fresh berry brands, supported by large field teams, production sites, and a global supply network. Across farms and agricultural environments, supervisors needed a way to manage entire crews without losing time to individual punches, manual activity changes, or connectivity gaps. CloudApper AI extended their enterprise HCM system with an external layer for offline group time capture, activity tracking, and automatic sync, giving field operations more control at scale.
- Agriculture & Fresh Produce
- Crew Operations
- Group Punch
- Offline Time Capture
- Labor Visibility
150
Locations supported with group punch workflows
Seconds
To record time for entire crews
Offline
Time capture for agricultural environments with limited connectivity
Driscoll’s
Family-owned fresh berry company · Headquartered in Watsonville, California · Global supply network
Industry
Agriculture & Fresh Produce
Operational Scope
Farms, Production Sites & Field Teams
Primary Challenge
Crew Workforce Reliability
Locations
150 Locations
Process Need
Fast Group Time Capture
Legacy
100+ Years
CloudApper AI + Enterprise HCM System
CloudApper AI extended Driscoll’s existing enterprise HCM system with an external offline punch and employee self-service layer for entire crews, activity changes, offline work, and automatic data sync
Fresh Berries · Agriculture · Global Operations
Download the full case study
Get the complete crew punch workflow, offline capture setup, job transfer logic, and HCM synchronization details not covered on this page.
- Crew bulk punch-in and punch-out workflow
- Offline group time capture and auto-sync setup
- Meal break punches and task transfer tracking
- Labor visibility and supervisor workload outcomes
The challenge
When crew operations moved faster than individual time capture could support
Driscoll’s field operations depend on supervisors managing large groups of workers who often start shifts together, move between activities, and work across agricultural environments where connectivity is not always available. Recording each employee punch individually created delays, added administrative work, and made it harder to maintain clean labor records across a large, distributed operation.
Large crews needed a faster way to start and end shifts
Supervisors were responsible for groups of employees who often began work at the same time. Individual punch capture slowed the start of the day and created unnecessary administrative effort.
Task and activity changes needed better visibility
Field employees moved between assignments throughout the day, which made manual updates harder to manage and increased the risk of incomplete or inaccurate labor activity records.
Agricultural environments did not always have dependable connectivity
Real-time systems can break down when field teams work in remote or low-connectivity locations. Driscoll’s needed time data to be captured even when internet access was unavailable.
Scale required consistency across 150 locations
With crew operations spread across 150 locations, Driscoll’s needed a repeatable process that could reduce supervisor workload while keeping workforce data accurate and visible.
The solution
An external field layer that brought crew time, activity changes, and offline work into the HCM
Driscoll’s extended its existing enterprise HCM system by adding an external offline punch and employee self-service layer on top of it. CloudApper AI gave supervisors a simple way to capture time data for entire crews, record meal break punches, track task and activity changes, work offline when connectivity was unavailable, and then sync that data back to their HCM system once the device reconnected.
Holiday and overtime interactions
Holiday pay interacted with overtime calculations in ways no existing payroll template handled — leading to underpayments that went undetected for weeks.
Holiday pay interacted with overtime calculations in ways no existing payroll template handled — leading to underpayments that went undetected for weeks.
Full implementation details in the PDF
Offline group punch setup, HCM sync, meal break punches, job transfer tracking,
and field data flow are all in the full case study.
and field data flow are all in the full case study.
The results
What Driscoll’s gained when crew time capture stopped slowing the field down
The impact reached beyond faster punching. Supervisors got time back from repetitive administration. Labor records became more accurate and easier to trust. Field activity became more visible across crews, tasks, and locations. And Driscoll’s gained a more dependable workforce process that could keep pace with the speed and scale of agricultural operations.
Seconds
To record time for entire crews instead of individual punches
150
Locations supported with a repeatable crew time capture process
Offline
Reliable time capture for remote agricultural environments
Clearer
Visibility into job transfers, activity changes, and labor assignments
Holiday and overtime interactions
Holiday pay interacted with overtime calculations in ways no existing payroll template handled — leading to underpayments that went undetected for weeks.
Holiday pay interacted with overtime calculations in ways no existing payroll template handled — leading to underpayments that went undetected for weeks.
Full impact details in the PDF
Supervisor workload, crew time accuracy, offline capture,
and labor visibility outcomes.
and labor visibility outcomes.
How CloudApper AI extended field operations
- Group Punch-In & Punch-Out
- Offline Time Capture
- Automatic HCM Sync
- Meal Break Punches
- Job Transfers & Activity Tracking
- Shared & Personal Mobile Devices
Trusted by enterprises
G2
4.9/5
UKG Marketplace
4.7/5
- Works with major HCM systems
- AWS Partner · AWS Bedrock
- SOC 2 Compliant
- Enterprise Workflow Experience
Managing large field crews?
Organizations with distributed field crews can use CloudApper AI to extend their enterprise systems with offline group time capture, activity tracking, and automatic sync, giving supervisors more control without adding more administrative work.
CloudApper’s AI platform freed me from the burden of managing developers and delivered a personalized software solution that exceeded my expectations.
Talla Kuperman
CEO · Forever LT
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Field operations should not lose control when crews, locations, and connectivity get complicated.
CloudApper is the process layer that closes the gaps enterprise software can’t, across HR, ERP, CRM, and beyond, on any platform, in weeks not quarters. Driscoll’s used it to extend its enterprise HCM system with the field execution layer supervisors needed, giving teams more control over crew activity, offline work, and labor visibility across 150 locations.
