Global fruit producer cuts labor and harvest planning time from weeks to minutes
A leading grower uses SWARM to optimize labor and transportation for up to 17,000 field workers, turning a complex weekly planning process into a fast, repeatable, and scalable workflow.
CUSTOMER
About the customer
This customer is one of the world’s fastest-growing year-round superfruit producers, with vertically integrated operations across crops including blueberries, grapes, asparagus, and avocados.
Industry
Agribusiness & Farming
Focus
Superfruit Production & Field Logistics
Region
South America
Use Cases
Workforce Planning, Transportation & Route Optimization
CHALLENGE
The customer needed to streamline labor hiring and field transportation across 12,000 to 17,000 seasonal crop workers, balancing roughly $45M in annual labor spend and $12M in annual transportation costs. Key operational questions included:
Workforce Allocation: Which returning and new workers should be recruited, from where, and in what quantities to meet weekly harvest forecasts at the best labor value?
Transportation & Routing: Given the recruitment plan, how do we group bus stops and assign vehicles to minimize transportation spend while maximizing occupancy?
Real-World Constraints: How can we account for historical performance, worker locations, vehicle capacities, third-party fleet costs, road conditions, and driver retention?
HR & Workforce Optimization
The platform translates weekly crop forecasts into precise hiring decisions, selecting the optimal mix of returning and new workers based on normalized performance, location, distance to farm, expected availability, and total cost-to-serve.
Route & Fleet Optimization
Once recruitment targets are set, SWARM builds pickup routes and assigns third-party vehicles (buses, minibuses, custers, combis, minivans) to transport workers. The model accounts for district limitations, road conditions, vehicle capacities, and driver retention goals.
Run "What-If" Planning Scenarios
Planners can evaluate different labor supply, vehicle cost, and routing scenarios inside the platform, allowing teams to react quickly to fluctuating weekly harvest volumes and road closures.
Automated Operational Outputs
The system automatically generates detailed returning-worker hiring plans (with individual IDs and locations), headcount targets for new recruits, complete route plans, and vehicle-level assignments.
Powered by the SWARM ENGINE
The SWARM ENGINE is our agentic AI optimization product that solves complex operational problems across labor allocation, fleet management, and field logistics.
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IMPACT
The solution established an end-to-end operational blueprint, driving substantial savings across payroll and logistics while boosting harvest readiness.
Payroll Efficiency: For every 1% reduction in labor cost, the company realizes approximately $450,000 in annual savings.
Transportation Savings: A 5% reduction in transportation round trips saves roughly $11,500 per week ($598,000 annually) on a $12M transport budget.
Improved Operations: Streamlines planning burden, boosts worker productivity, and delivers a scalable operating model across multi-region farm sites.
Labor-to-Transportation Optimization
WHY SWARM
Why this customer chose SWARM
Connected Decision Engine
Links upstream workforce recruitment directly to downstream transportation planning in a single unified workflow.
Built for Agrifood Realities
Handles real-world field constraints, including variable crop yields, diverse vehicle fleets, driver retention, and local road accessibility.
Rapid Financial & Operational Value
Delivers significant reductions in avoidable labor and transport spend while keeping field operations agile during peak harvest seasons.
can do for your
operations
Talk with our team about your own labor, workforce recruitment, or field transportation planning challenges, and explore how SWARM can help.
