Reduce Operating Costs

DEEP DIVE 01

Reduce Operating Costs

Every operating expense is the result of a decision. The right data turns costs into savings opportunities.

Buildings generate millions of data points every day. Economic success, however, only materializes when the right decisions are derived from that data. That is exactly what Pinestack was built for.

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Reduce Operating Costs
The Challenge

Operating costs keep rising — despite more data than ever

Owners, asset managers and facility managers are under enormous economic pressure. Energy prices fluctuate, regulatory requirements grow, and tenants expect modern, flexible, sustainable buildings. Yet despite substantial investments in building automation, sensors and digital applications, many organizations fail to reduce their operating costs sustainably.

The real problem is that this information sits in disconnected systems. Each application answers its own question, but none connects all the information into a complete picture. The result: unnecessary operating costs that often persist for years without their root causes ever being identified.

Typical questions from our customers

  • Why do our service charges keep rising?
  • Which technical systems cause the highest operating costs?
  • Which areas are permanently unused?
  • Why do ventilation and heating run despite low occupancy?
  • Which measures deliver the greatest economic effect?
  • Where is the next investment truly worthwhile?

What results are possible?

The biggest savings rarely come from a single measure. They emerge from the interplay of multiple optimizations.

up to 30%lower energy costs
15–35%more efficient space use
6–18months to ROI
  • Energy consumptionup to 30% lower costs
  • Space utilization15–35% more efficient use
  • Cleaningdemand-based control instead of fixed intervals
  • Maintenancefewer unplanned failures
  • Service processesfaster handling with less effort
  • Managementwell-founded decisions based on current data

The Pinestack Solution

One data platform instead of many point solutions

ONEvr connects all relevant building data on a single platform. Information from building automation, sensors, energy meters, access systems, workplace bookings, maintenance systems and other applications is consolidated into one shared data model.

On this foundation, the platform analyzes correlations, detects anomalies and identifies optimization potential. The result is not another data view — it is a clear basis for decisions for owners, asset managers and facility managers.

How data becomes a better decision

01

Capture data

Energy · Systems · Usage · Bookings · Sensors · Maintenance

02

Consolidate

ONEvr integrates all information into one shared data platform.

03

Analyze

Detect correlations, identify causes, forecast developments.

04

Recommend

The platform prioritizes measures by economic benefit.

05

Optimize

Costs fall permanently, processes become more efficient, buildings run more economically.

Case Example

Starting Point

A modern office building with around 15,000 square meters of usable space records rising operating costs even though numerous digital systems are already in place. Average space utilization is well below expectations, while heating, ventilation and lighting continue to run almost unchanged.

Implementation

ONEvr integrates energy, occupancy, booking and building data into one shared platform. The analysis shows that several building zones are operated regularly despite being rarely used. At the same time, cleaning is scheduled independently of actual utilization.

Result

After implementing data-based operating strategies, energy and service costs drop significantly. Transparency into how the property is actually used improves, and investment decisions can now be based on reliable data instead of assumptions.

Why Pinestack?

Other systems deliver data. Pinestack delivers decisions.

The difference is not the number of sensors or dashboards. What matters is the ability to connect technical, organizational and economic information — and derive concrete recommendations for action. That is how a digitalized property becomes an economically optimized property.

Knowledge Box

Primary KPISustainably reduce operating costs
Target groupsOwners, asset managers, CFOs, facility managers
Pinestack productsONEvr, Atlas, PETE
Typical data sourcesBuilding management systems, energy meters, CAFM, sensors, access control, booking systems
Expected ROIOften within 6 to 18 months (depending on building size and starting point)
Implementation effortQuick assessment within days; productive rollout within weeks to months depending on building scope

Frequently asked questions

Who is this use case for?

This use case is designed for owners, asset managers, CFOs and facility managers.

Which Pinestack products are involved?

The use case builds on ONEvr, Atlas and PETE.

Which data sources are used?

Typical data sources are building management systems, energy meters, CAFM, sensors, access control and booking systems.

What is the implementation effort?

Quick assessment within days; productive rollout within weeks to months depending on building scope.

When does the investment pay off?

Often within 6 to 18 months (depending on building size and starting point).

What makes Pinestack different from conventional systems?

The difference is not the number of sensors or dashboards. What matters is the ability to connect technical, organizational and economic information — and derive concrete recommendations for action. That is how a digitalized property becomes an economically optimized property.

Your property already produces all the information you need for better decisions.

Pinestack ensures this information is consolidated, analyzed and translated into concrete measures — with the goal of permanently lowering operating costs, using resources more efficiently and sustainably increasing the value of your real estate.

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