Predict Demand Accurately to Fill More Rooms and Seats
Poor forecasting and static pricing create empty rooms, overbooked peaks, heavy discounting, and lower yield on flights and stays than is possible.
Rising labor costs and staffing gaps then force more overtime and service trade-offs, pushing up costs while limiting how much demand the business can profitably serve.
When booking, rate, and event data are scattered, airlines, hotels, and cruise ships misjudge demand and price sensitivity, leaving money on the table or losing bookings with poorly set rates.
We can help you grow profit.
A Major Hotel Group Struggled with Static Prices and Empty Rooms
2.7%
$500M
65%
Uplift in total hotel revenue
Revenue increase from optimized pricing
Increase in Pricing Tool adoption
This hotel group used static pricing and legacy tools, so rates often missed real demand, causing empty rooms or deep discounts.
In our engagement, we deployed AI demand forecasting and dynamic pricing that continuously tuned rates and controls by market and channel. This lifted forecasting accuracy and drove a 2.7% increase in total revenue—over $500M.
Better Workforce Planning
Increase operational efficiency and reduce costs by using advanced AI algorithms to optimize workforce and asset assignments and scheduling for improved utilization and performance.
Aeroméxico was Losing Revenue due to Rigid Fares
Aeroméxico relied on rigid fare ladders that ignored how demand changed with price, leaving revenue on the table.
PrimeAI implemented AI models for price sensitivity and demand, enabling continuous pricing and dynamic bundles, delivering ~3% increase in total revenue.
Unlock Dynamic Pricing
Legacy, fragmented systems and poor-quality data prevent travel and hospitality companies from dynamically pricing to real demand, leaving revenue and loyalty on the table. If you’d like to see just how much money you’re leaving on the table, contact us about starting a Proof of Value project, using your actual data.
Customer Success Stories
-
![Man working at a desktop computer in a busy office, wearing a headset, with multiple monitors and laptops around him.]()
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.
-
![Street cleaning vehicle with orange and gray exterior, parked on city street with buildings in the background.]()
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.
-
![Laptop screen displaying a flight search website, with options to enter departure and return dates, and number of adults and children, under a sky background with an airplane.]()
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.
-
![A woman with curly hair is sitting at a desk in front of six large monitors displaying spreadsheets. She is smiling and wearing a white shirt, working in a bright, modern office space.]()
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.
-
![Group of friends with luggage at airport, smiling and talking.]()
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.
-
![A worker wearing a hard hat looks at a tablet on a highway with moving trucks, with digital location markers and network lines overlaying, representing smart logistics and connected technology.]()
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.
