Cut Downtime, Waste, and Rework with AI-Powered Industrial Insight
Industrial services companies depend on crews, trucks, and equipment being in the right place at the right time. When planning is manual and data is scattered, crews drive too much, plants are underused, and leaders cannot see which contracts or materials are truly profitable.
This drives up fuel, labor, maintenance, and overtime costs while hurting on‑time service and response times. Customers notice missed windows and inconsistent quality, which increases churn and leaves growing revenue hiding weaker margins underneath.
We can help you plan better.
Boost Field Service Revenue with AI Routing
Field services is a cost center for many companies, with labor ever-increasing labor costs and overtime being difficult to manage. But, what if you could create additional revenue through your field services?
Marmic struggled to schedule and route nearly 700 technicians across about 24,000 monthly jobs efficiently, leading to excessive drive time, overtime, and limited revenue capacity. But, we were able to use their data to show how to increase revenue by 10%—a $15 Million impact annually.
$15M
21%
91%
Identified revenue & cost-saving opportunities
Reduction in technician driving time
Reduction in overtime hours
Optimize Scheduling & Routing
Increase operational efficiency and reduce costs by using advanced AI algorithms to optimize workforce and asset assignments and scheduling for improved utilization and performance.
Customer Success Stories
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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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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 Group 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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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.
