Concept illustration of a facility manager using a tablet to monitor a warehouse, with digital overlays representing connected building systems.

Smart Buildings for Business: What Could Your Warehouse Save?

A practical introduction to warehouse temperature monitoring, equipment visibility and energy controls—with research-backed savings figures and an illustrative payback calculation.

Business 7 min
Orest Boichuk
Orest Boichuk COO
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The warehouse is closed for the night. The heating is still following the daytime schedule, a loading door has been left open, and nobody will notice a temperature problem until the morning shift. For a medium-sized business, this is where smart building technology becomes useful: making everyday operating conditions visible and helping the team act before waste or disruption grows.

From smart homes to smart business premises

Smart homes made connected thermostats and remote controls familiar. In a warehouse, workshop or mixed office-and-storage site, the same idea serves a different purpose: keeping goods within the right conditions, knowing when equipment is running, and matching energy use to actual work.

A practical system connects sensors, meters and existing equipment to software that shows what is happening, flags exceptions and, where appropriate, adjusts controls. This first article in our smart buildings series looks at the business case: what to monitor, what the evidence says about savings, and how to start with a manageable pilot.

Energy savings: what the evidence shows

3%

median annual energy savings with energy information systems — US campaign, 2016–2020

9%

median annual energy savings with fault detection and diagnostics — US campaign, 2016–2020

≈29%

modeled national energy-saving potential from improved commercial building controls — PNNL, 2018

How much energy can smart buildings save?

Published research gives useful reference points, provided we distinguish measured outcomes from modeled potential:

  • 3% and 9% median annual energy savings: the US Smart Energy Analytics Campaign, which ran from 2016 to 2020 and supported 104 organizations with more than 6,500 buildings, reported 3% for energy information systems and 9% for fault detection and diagnostics. The campaign also reported a two-year simple payback for EMIS projects. These are program findings, not a quotation for a new warehouse installation. Source: US Department of Energy / Berkeley Lab, 2020.
  • Approximately 29% modeled energy-saving potential: a PNNL study estimated the national potential of packages of improved controls across US commercial buildings. This describes a broad technical opportunity, not the expected saving from adding a few sensors to one site. Source: Pacific Northwest National Laboratory, 2018.

These percentages should not be added together. They cover different interventions and evidence. They also come from US commercial buildings, rather than a study limited to medium-sized European warehouses. Your result depends on climate, operating hours, tariffs, equipment and how well the building is already managed. Monitoring creates value when someone uses the findings to correct problems.

What would that mean in euros?

Consider an illustrative site spending €100,000 a year on energy. If a project reduced energy consumption by 5%, 10% or 15%, and the avoided energy cost fell proportionally, gross annual savings would be €5,000, €10,000 or €15,000 respectively. These are planning scenarios, not a forecast or a RemSoft.Dev customer result. Fixed charges, demand charges and changing tariffs can make bill savings differ from energy savings.

Suppose the installed project cost €20,000 and recurring software, maintenance and support cost €2,000 per year. At the 10% scenario, the net annual benefit would be €8,000 and simple payback would be 2.5 years: €20,000 ÷ (€10,000 − €2,000). At 5%, payback would be about 6.7 years; at 15%, about 1.5 years.

Those assumed costs are not a market price estimate. A real budget must include hardware, installation, integration, commissioning and staff time. Treat avoided stock losses and downtime separately until there is evidence to value them.

Four useful places to start in a warehouse

The Carbon Trust identifies lighting, heating and, where applicable, refrigeration as key energy opportunities in warehousing. It also points to improved controls and shutdown routines outside working hours. Source: Carbon Trust, Warehousing and logistics guide, 2019.

1. Temperature and humidity by zone

An office, loading area and storage aisle may need different conditions. Monitor representative locations and define acceptable ranges for the goods and activities in each zone. An alert should identify the location, how long the condition has persisted and who needs to respond. One comfortable reading beside a thermostat does not establish conditions throughout the warehouse.

2. Heating schedules and loading doors

Compare heating schedules with actual shifts and review what happens during holidays or extended loading operations. Door sensors can help staff identify doors left open unusually long. Any automatic heating adjustment should preserve required storage conditions, frost protection and safe working conditions.

3. Equipment operating outside expected hours

Meter readings and available equipment signals can reveal that a fan, pump or compressor is still operating after its expected shutdown. A useful dashboard connects that observation to a location, an asset and a person responsible for checking it. An unusual reading is a reason to investigate; it is not, by itself, a diagnosis or a prediction of failure.

4. Alerts that lead to action

Define who receives each alert, when it escalates and how resolution is recorded. Include missing sensor data and lost connectivity, so silence is not mistaken for normal operation. For several premises, a shared view can help managers identify which site needs attention first.

Start with one measurable pilot

Choose one problem: overnight heating, temperature excursions in a storage zone, or unexplained equipment runtime. Before buying hardware, check which meters, sensors and controllers already exist and whether their data can be accessed.

  1. Establish a baseline. Gather available historical energy data, operating hours and weather information. A full year helps capture seasonal changes; a short pilot alone cannot prove annual heating savings.
  2. Define success. Track energy use alongside time outside temperature limits, after-hours runtime and alert response time.
  3. Connect and verify. Check sensor placement, readings, timestamps and communication failures before relying on the dashboard.
  4. Make a controlled change. Adjust an agreed schedule or correct a specific fault, then compare results under comparable conditions.
  5. Review the economics. Account for weather, workload and tariff changes, plus ongoing operating costs, before expanding.

Remote access should have clear permissions and a record of changes. Essential equipment controls should continue operating locally if the internet connection fails, with manual overrides available to authorized staff.

Where software fits into the project

A building may already have working controls while its team still relies on separate screens, spreadsheets and phone calls. The software question is how to connect the information: which asset is affected, what changed, who was notified and what happened next.

Use existing control functions where they meet the need. Consider custom integration when data must flow into maintenance workflows, business systems or a shared view across sites. Hardware compatibility and control changes need input from the relevant equipment and building specialists.

Planning better visibility across your warehouse or business premises? Bring RemSoft.Dev a description of your site, the systems you already use and one operating problem you want to solve. That gives us a concrete starting point for discussing the software and integration scope of a measurable pilot.

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