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I-SEC Reduced Labor Costs With New Shift Generator

The airport security firm lowered expenses by up to 5% using an automated optimization tool.

Updated on Sept. 29, 2026 in Job Search

Isometric editorial illustration of interlocking geometric blocks, representing efficient organizational planning and workforce optimization in a structural grid.
I-SEC successfully reduced its labor expenses by 5% after implementing a new automated shift generation tool to manage security personnel placement. AI Illustration. Upload story photo >

I-SEC implemented a new workforce planning system that leverages the Gurobi optimization solver to generate shifts. The tool accounts for demand patterns, regulatory constraints, and walking times to manage staff placement.

Why it matters

The organization sought to tackle operational inefficiencies within the complex security sector. By automating shift creation, the company successfully reduced idle hours and labor expenses.

Labor costs decreased by 4-5% over the past five years following the software rollout. The system relies on the Gurobi solver, which currently serves 40 different industries worldwide.

The players

I-SEC

I-SEC is an international security provider that specializes in aviation security services for airports.

Gurobi

Gurobi is a software company that provides mathematical optimization solvers used by businesses for decision-making.

The details

Planners now utilize an automated tool to assign security personnel across checkpoints, allowing for flexible shift lengths and start times. This mathematical shift generator ensures optimal placement while adhering to strict regulatory requirements.

Timeline

  1. The labor cost reductions occurred over the past five years.

  2. The article was published on 2026-09-29.

Market Landscape

This move highlights the growing reliance on mathematical optimization solvers like the Gurobi optimization solver to streamline complex labor management. Such tools enable firms to maintain tighter margins in heavily regulated sectors by replacing manual planning with data-driven scheduling.

Employees may experience changes in their shift patterns and daily start times as the company optimizes schedules based on demand. These systemic shifts aim to eliminate idle hours, potentially altering the predictability of work hours for staff.

The takeaway

Automated planning tools offer a path for companies to minimize idle time and operational bloat in labor-intensive industries. Adopting mathematical optimization solvers can provide measurable financial gains while maintaining compliance with strict regulatory standards.

What happens next

Syntro is currently conducting final tests for an automated schedule generator designed specifically for individual employees.

Further reading

Learn more about evolving hiring and workplace efficiency trends in the Job Search section.