Smarter Schedules and Routes Boost Revenue While Eliminating Overtime Burden
Workforce Scheduling & Routing Optimization:
Marmic Fire & Safety
As an asset-less logistics and freight forwarding company that sells shipping containers to customers in Europe and Asia, our customer faced critical challenges that hindered their ability to be profitable.
After just 4 months of working with PrimeAI, they were able to identify $1 Million in combined cost-savings and new revenue, using our Demand Planning and Price Optimization engines.
$15M
50%
91%
20%
Identified revenue from increased capacity and demand
EBITDA growth within 2 months of AI launch
Reduction in technician driving time
Reduction in overtime hours
The Challenge
Marmic Fire & Safety, a leading fire and life safety service provider, operates dozens of branches across multiple states, supporting thousands of recurring inspection and service visits each month. Their legacy, mostly manual scheduling approach could not keep pace with the company’s growth and geographic footprint, resulting in inefficient technician assignments and routes.
With nearly 700 technicians and close to 24,000 jobs each month, jobs were often visited in a suboptimal order, increasing drive time and shrinking the hours available for revenue-generating work. High variability in how schedulers and technicians chose jobs—sometimes centrally scheduled, sometimes technician-selected—created inconsistent utilization, higher overtime, and limited visibility into true capacity.
When Marmic piloted a centralized scheduling center for its southwest region, covering 12 offices in Missouri and neighboring states, leadership quickly saw that a more systematic, data-driven approach was needed. They required a solution that could algorithmically optimize schedules and routes at scale, while still allowing human review and adjustments to build trust and adoption among dispatchers and technicians.
PrimeAI’s Solution
Marmic partnered with PrimeAI to deploy AI engines for Workforce Scheduling and Workforce Routing tailored to their operations and technician workforce. These engines optimize job assignments by considering technician location, skillsets, certifications, job duration, service-level requirements, and job priority, ensuring the right technician is sent to the right job at the right time.
Initially, the AI-generated schedules and routes ran in parallel with human schedulers, who could review, adjust, and compare them with existing practices. This “human-in-the-loop” rollout helped demonstrate the engines’ accuracy and practicality, giving schedulers confidence that AI could improve their day-to-day work rather than replace it.
The AI engines ingest operational data from ServiceTrade, Marmic’s field operations platform, to continuously update schedules and routes as jobs are added, rescheduled, or completed. A dedicated executive dashboard provides real-time visibility into schedule adherence, travel time, overtime, and capacity utilization, giving the CFO and regional leaders clear insight into the financial and operational gains from AI-driven optimization.
The Results
Since implementing PrimeAI’s engines for Workforce Scheduling and Workforce Routing, our customer has experienced remarkable improvements. The most notable results include:
Reduced Driving Time: The AI engines optimized job assignments, significantly cutting down road time for technicians, saving fuel costs, and increasing job efficiency.
Higher Technician Productivity: Improved scheduling minimized the need for overtime and increased the potential to handle more jobs, improving workforce scaling.
Increased Profitability: Enhanced efficiency and reduced operational costs allow our customer to retain more profits, and optimized scheduling ensures better resource allocation and full utilization of technicians.
PrimeAI’s solutions enabled Marmic Fire & Safety to leverage the power of AI to revolutionize their operations, increase efficiency, cut costs, and significantly increase profitability. Their success shows how AI, paired with strategic human oversight, can transform processes and deliver substantial value.
Customer Success Stories
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CheckSammy Pricing Optimization & Workforce Routing
CheckSammy’s manual routing, scheduling, and non-optimized pricing limited capacity and profitability. With our scheduling, routing, and pricing optimization, they doubled operational and revenue capacity without adding headcount or infrastructure, supporting a $150M capital raise as revenue rose and costs fell.
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Aeroméxico Dynamic Pricing
Aeroméxico’s rigid fare classes failed to reflect real customer price sensitivity across routes and seasons. Our dynamic pricing optimization algorithm improved offer relevance, demonstrated higher conversion, and lifted passenger revenue by approximately 1–3% on targeted flows.
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LexisNexis De-Identification & Risk Mitigation
LexisNexis wanted to grow revenue by offering HIPAA-compliant enriched healthcare data products and risk insights. Using our de-identification and risk-scoring platform, they scaled compliant data products, reduced privacy risk, and accelerated regulatory certification and customer onboarding cycles.
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Hotel Demand Forecasting & Price Optimization
A Major Hotel Group struggled with static pricing and weak demand forecasts that left rooms underpriced or empty. After deploying our forecasting and dynamic pricing optimizers, this hotel group grew revenue by 2.7% and significantly increased adoption of advanced pricing tools among global hotel managers.
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Marmic Technician Scheduling & Routing
Marmic struggled with inefficient manual technician scheduling & routing caused lost technician availability, overtime, and excessive travel costs. By using our workforce scheduling & routing optimizer, they increased revenue 10%, cut overtime by 91%, and enabled 90 days of forward visibility instead of just 48 hours.
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Forto Demand Planning & Pricing Optimization
Freight forwarder Forto faced inaccurate container demand forecasts and suboptimal pricing that constrained margins and growth. By using our demand forecasting and dynamic pricing optimizers, they added over $1M in monthly revenue, enabling a profitable, scalable growth trajectory.
