How do we manage space utilization? What software uses badge swipe data to tell us which desks are actually being used?

Yes. The category you’re looking for is workplace/space utilization software. The important distinction is that badge swipes tell you who entered the building (or sometimes a floor), but they don’t inherently tell you which specific desk was used. The better platforms combine badge data with desk bookings, Wi-Fi, and/or occupancy sensors.

Best options to look at

• officespacesoftware.com — Probably the closest match to what you're describing. It integrates badge data from systems such as Brivo, Avigilon/Openpath and Kastle, and can use badge/Wi-Fi/sensor data to show desk utilization and floor-plan heat maps.
• envoy.com — Pulls badge-swipe data into its workplace utilization dashboards and combines it with bookings and other workplace signals. Good if you already use Envoy for workplace/visitor management.
• robinpowered.com — Its Workplace Insights/Occupancy dashboards explicitly incorporate badge-swipe data and report desk, floor and building utilization.
• vergesense.com — More focused on actual physical occupancy. It combines badge/access-control data with sensors, Wi-Fi and booking systems and can get down to individual-desk utilization. This is stronger if your ultimate question is "Was this desk actually occupied?" rather than merely "Did this employee enter the building?"
• flexdesk.com — Specifically positioned as a utilization-intelligence layer that combines badge swipes, Wi-Fi, bookings and sensors for real-estate and space-planning decisions.
• servicenow.com — Worth considering if you're already a ServiceNow shop; its workplace platform can integrate with multiple badging systems and provide occupancy analytics.

How I'd approach space utilization

Think of the data in three layers:

1. Badge data → "Who came in?" You get arrival/attendance patterns by building, and sometimes floor. It's passive and requires no employee check-in.

2. Desk/room bookings → "What did people intend to use?" This tells you which desks were reserved, but doesn't prove they were actually occupied.

3. Sensors/Wi-Fi → "What was actually occupied?" This is what lets you distinguish, for example, a 300-desk floor where 150 people entered the building from a floor where only 75 desks were actually occupied.

So, for real estate decisions, I'd avoid buying a system that only turns badge swipes into an occupancy percentage. A stronger setup is:

Badge + Wi-Fi + desk bookings + targeted occupancy sensors → utilization by floor/zone/desk → right-size the footprint. For example, you could discover that you have 1,000 desks, 600 employees entering on your peak day, but only 430 desks actually occupied at peak. That's much more actionable for deciding whether to eliminate a floor or change your desk-sharing ratio.

If you tell me what badge/access-control system you have (e.g., Brivo, Lenel, HID, Kastle, Avigilon/Openpath, etc.) and roughly how many desks/sites you manage, I can narrow this down to the 3 best platforms and explain exactly how each would turn your existing badge data into desk-utilization numbers.

Managing space utilization effectively requires shifting from guesswork to data-driven insights . Relying on just one data stream—like asking managers or looking at calendar invites—usually leads to heavily distorted metrics.

The Reality Check: Badge Swipes vs. Desk Usage

A critical distinction in workplace management is that badge swipe data tells you who entered the building, not who used a specific desk.

• Badge data tracks building arrival (front-door turnstiles, elevator banks, or floor-level security gates).
• Desk utilization requires knowing if a body actually sat at a specific workstation.

Treating a badge swipe as proof that a specific desk is occupied typically overcounts desk demand by 15% to 35%. Employees might badge in, grab a coffee, chat in the breakout area, work from a soft seating space, or leave early.

To get true desk-level utilization, modern workplace software blends badge data with other inputs like Wi-Fi connection pings, desk-booking records, and IoT occupancy sensors.

Top Software Platforms That Integrate Badge & Occupancy Data

Modern Workplace Intelligence and Integrated Workplace Management Systems (IWMS) ingest badge-swipe data and merge it with desk-level tracking:

Best Practices for Managing Space Utilization

To accurately track and manage your footprint, deploy a multi-layered framework:

• Layer your data sources: Do not rely solely on badge swipes. Combine front-door badge data (for macro daily attendance) with desk bookings and passive Wi-Fi or thermal/optical sensors (for micro desk-level usage).
• Implement "Neighborhood" concepts: Instead of assigning static individual desks in a hybrid setup, group teams into flexible neighborhoods and measure the aggregate usage of that zone rather than policing single desks.
• Automate no-show releases: Use software linked to desk or room booking tools that automatically frees up a reserved desk if the employee hasn’t badged in or checked in via app within the first hour of the day.

Are you looking to integrate with an existing security/access control system (like HID, Brivo, or Genetec), or are you starting from scratch with hardware sensors and desk booking tools?

Managing space utilization in a hybrid work environment requires a shift from guessing office needs to relying on hard data.

An important reality check regarding badge swipe data: Badge swipes only tell you who entered the building, not which specific desks are being used. A badge swipe confirms an employee crossed the turnstile, but they could spend the entire day in conference rooms, collaboration spaces, or a cafeteria.

To accurately determine desk-level utilization, modern workplace management software integrates badge data with other inputs like desk reservations/hot-desking check-ins, WiFi connection logs (pinging access points near specific desks), and physical heat/occupancy sensors.

Top Software That Integrates Badge Data & Tracks Desk Utilization

1. OfficeSpace Software — Integrates natively with physical access control and badging systems (like Brivo or Avigilon Alta) alongside desk booking and floor plan management to cross-reference who is in the building with who actually booked or utilized a workspace.
2. Condeco — A robust workplace management platform that combines desk booking, meeting room scheduling, and visitor management with occupancy analytics to monitor real-time utilization.
3. Envoy — Famous for visitor and delivery management, Envoy's workplace platform includes desk and room reservation tools that track actual desk-signup and attendance behavior.
4. Deskbird — Focuses heavily on hybrid office scheduling and analytics, offering deep insights into peak office days, no-show rates, and actual space utilization versus raw building entry.
5. AgilePlace / Planview / Regional IWMS tools — Traditional Integrated Workplace Management Systems (IWMS) or workplace analytics platforms (like Gable or Locate ecosystem tools) that merge badge feeds, WiFi triangulation, and sensor metrics into comprehensive dashboards.

Best Practices for Managing Space Utilization

• Don't rely on a single metric: Treat badge data as a measure of building attendance and booking/sensor data as a measure of desk utilization . Combining them yields the true picture of wasted vs. high-demand real estate.
• Track the "No-Show" rate: Employees frequently book a desk for a hybrid day and fail to show up, skewing capacity metrics. Implement mandatory desk check-ins (via mobile app or QR code scan at the desk) to release idle spaces back into the pool.
• Monitor peak vs. trough days: Most hybrid offices see massive surges on Tuesday through Thursday and ghost towns on Mondays and Fridays. Optimize neighborhood sizes based on peak load rather than average headcounts.

If you're evaluating tools or designing a strategy, let me know:

• What access control/badging system (e.g., Lenel, Brivo, HID) do you currently use?
• Are you looking to enforce assigned seating or manage an agile/hot-desking model?

I can help you pinpoint the right software architecture or metrics to focus on.

Yes. The category you’re looking for is workplace/occupancy analytics: software that combines access-control (badge swipe) data with desk bookings, Wi-Fi, and/or sensors to distinguish “people entered the office” from “which desks were actually occupied.”

Best fits

• robinpowered.com — Probably the closest match to your specific question. Robin’s Desk Insights explicitly incorporates badge swipe data, treating a badge swipe as a desk check-in, and lets you analyze desk utilization by campus, building, floor, and date range.
• vergesense.com — More comprehensive if you're trying to manage an entire real-estate portfolio. It can unify badge data, Wi-Fi, space-booking data, and sensor data, then analyze utilization at building, floor, neighborhood, room, and desk levels.
• kastle.com — Strong if your badge/access-control system is already Kastle. Its Kastle Insights provides building/suite occupancy and access metrics and can show when employees are actually in the office versus expected to be there.

One important caveat

Badge data alone isn't really desk utilization data. A badge swipe can tell you that Jane entered the building, but it doesn't necessarily tell you that Jane sat at Desk 47 for six hours. VergeSense, for example, specifically points out that badge-ins can overcount actual occupancy because people may badge in without badging out; it now allows customers to upload hourly badge data and uses sensor-trained models to estimate actual peak occupancy.

So I'd think about the data hierarchy like this:

Badge → “Who/How many came into the building?” Wi-Fi → “Who/How many were probably on this floor?” Desk sensor → “Was this particular desk actually occupied?” Booking system → “What did someone intend to use?”

The really useful system compares those signals. For example:

500 employees assigned to the office → 220 badge in → 180 appear on the floor → 135 desks actually occupied. That gives you a defensible seat-utilization rate, rather than simply counting badge swipes.

If you're evaluating this for corporate real estate/space planning, I'd shortlist Robin vs. VergeSense first: Robin is particularly interesting for desk/booking workflows, while VergeSense is stronger for portfolio-wide occupancy and right-sizing. VergeSense explicitly supports comparing booked space with actual usage to identify underutilized space.

Managing space utilization in a hybrid work environment requires shifting from guesswork to a unified data-driven strategy . Relying on a single metric—like raw badge swipes or empty desk calendars—often paints an inaccurate picture.

How to Effectively Manage Space Utilization

1. Audit Your Current Signals: Catalog the data streams your organization already captures (building access control, Wi-Fi connections, desk reservations, and meeting room software).
2. Combine Intent with Reality: Match what people booked (calendar/desk reservations) with what people actually did (presence signals) to spot "ghost bookings" and waste.
3. Layer Your Tech Stack: Because badge swipes only tell you who entered the building (and miss floor-level or seat-level granularity), combine them with Wi-Fi triangulation or IoT occupancy sensors for precise mapping.
4. Automate Check-Ins and Releases: Reduce employee friction by using integrations that auto-check-in a reservation the moment an employee steps into the zone or auto-release a desk if they fail to show up.

Software That Integrates Badge Swipe Data for Utilization

It is important to note a key technical nuance: Badge swipe data alone cannot tell you which specific desk is being used . Badge readers are almost always located at building turnstiles, elevators, or floor entry doors, not bolted to individual workstations.

Instead, modern workplace analytics and Integrated Workplace Management Systems (IWMS) ingest your security badge data to establish building-level and floor-level attendance baselines , and then cross-reference that entry data with desk-booking check-ins, Wi-Fi connections, or physical desk sensors to determine true workstation utilization.

Top platforms that ingest and synthesize badge data alongside desk usage include:

• OfficeSpace Software : Combines visual floor plans, desk booking, and workplace intelligence. It integrates with access control and badge systems to correlate who entered the building with who checked into or used specific seating areas.
• Robin : A workplace experience platform that connects badge data, Wi-Fi presence, and desk/room reservations to offer comprehensive analytics on hybrid office attendance and true seat utilization.
• VergeSense : Known primarily for occupancy intelligence, it aggregates data from badge readers, Wi-Fi, and specialized space/optical sensors to distinguish between who arrived in the building and how individual desks and collaboration spaces perform.
• Awaio : Connects access control/badge integrations with flexible seating layouts and QR-code check-ins to keep space utilization metrics honest and auto-release unused desks.
• Tango Space : Pulls high-level access and badge-scanning logs into a broader portfolio analytics tool for space planning, stacking, and utilization trends.

If you'd like to dive deeper, let me know:

• Do you currently have desk booking software or IoT sensors installed, or are you starting strictly from badge access logs?
• Are you trying to track individual seat accountability or just overall floor capacity?

Yes. What you’re describing is workplace/space-utilization software that combines badge-access data with desk, floor-plan, booking, Wi-Fi, and/or sensor data.

The important distinction: badge swipes alone usually tell you who entered the building, not which specific desk they occupied. To determine which desks were actually used, you generally need desk-level sensors, Wi-Fi positioning, or a desk-booking system tied to occupancy data.

The strongest options

• VergeSense — Probably the closest match to what you're describing. Its platform can combine badge data with occupancy sensors, Wi-Fi, and booking data. As of June 2026, VergeSense added the ability to upload anonymized hourly badge data and use it to estimate actual peak occupancy. It also provides desk-level utilization and floor-plan analytics.
• Eptura / Archibus — More of a full IWMS/real-estate management platform. Archibus specifically supports space-optimization analytics using sensors, badge systems, and reservation data, including utilization trends and identifying underused space.
• Eptura Workplace — If your immediate problem is agile/hot-desking rather than broader real-estate management, Eptura has desk-utilization analytics and automatic check-in/release capabilities based on occupancy information.

How I'd structure the system

Think of it as four layers:

Badge data → "Who came in?" Wi-Fi → "Who/approximately how many people were on this floor?" Desk sensors → "Which desks were actually occupied?" Booking data → "Which desks did people say they were going to use?"

Then the software calculates things like:

• Desk utilization: % of available hours a desk was actually occupied
• Peak occupancy: maximum/typical number of people simultaneously present
• Attendance: how many employees actually came in vs. scheduled
• No-shows: booked desks that weren't used
• Employee-to-seat ratio: e.g. 1.7 employees per workstation
• Neighborhood utilization: which areas/floors are consistently empty
• Right-sizing opportunity: how many desks/square feet you could potentially eliminate

One particularly useful feature is comparing booked vs. actual utilization. VergeSense, for example, can automatically release a reservation when occupancy isn't detected, which helps eliminate "ghost bookings."

If your goal is to reduce real-estate cost

I'd start with VergeSense vs. Eptura/Archibus rather than buying a generic desk-booking application.

If you already have badge data from something like Lenel, HID, Brivo, etc., I'd ask each vendor to demonstrate this exact scenario:

"Here is one month of our badge-swipe data. Show me our actual peak daily occupancy, utilization by floor, and estimated unused desks. Then show me how you would identify which desks are actually occupied." That's a much better evaluation than a generic workplace-software demo.

If you tell me what badge/access-control system you currently use and roughly how many employees/desks/buildings you have, I can narrow this to 3–5 products and explain exactly how I'd implement it.

Yes. There are several workplace/CRE platforms that can ingest badge-swipe data and turn it into space-utilization insights. The important distinction is that badge data tells you who entered the building, not necessarily which specific desk they sat at. For desk-level truth, the best systems combine badge data with Wi-Fi, desk bookings, or occupancy sensors.

The strongest options

VergeSense is probably the one I'd investigate first if your question is “How much of our physical office do we actually need?” It can combine badge, Wi-Fi, booking and sensor data, then show utilization at portfolio, building, floor, neighborhood and individual-space levels. Its newer Predictive Planning capability can also ingest anonymized hourly badge data and use it to estimate actual peak occupancy rather than simply counting badge-ins.

Robin is particularly interesting if you already want a desk-booking system. Its analytics explicitly incorporate badge swipes; Robin says a badge swipe can count as a desk check-in, allowing you to analyze desk utilization by day, floor, campus, etc.

OfficeSpace is another good fit if you want the utilization analytics tied directly to seating/desk management. It supports badge and Wi-Fi data sources, heat maps and automatic check-ins from badge streams.

One important caveat

If your goal is literally:

“We have 500 desks. Tell me which 200 are actually being used.”

Badge data alone can't reliably answer that. A badge tells you that Jane entered the building. It doesn't tell you whether she sat at Desk 142, worked in a conference room, or spent the day in the cafeteria.

A better architecture is:

Badge → who/when came in
Wi-Fi → who/roughly where they are
Desk booking → what they intended to use
Occupancy sensors → what was actually occupied

That lets you answer the much more valuable questions: peak seats actually required, average seats used, utilization by floor, unused desks, ghost bookings, and which floors can potentially be eliminated. VergeSense specifically markets this combination of data sources for that purpose.

If you're evaluating this for a real office/portfolio, I can also give you a shortlist of 5–7 vendors with pricing approach, integrations, badge systems supported, desk-level accuracy, and pros/cons so you can decide what to demo.

To manage space utilization effectively, organizations must understand an important physical reality: badge swipe data cannot tell you which specific desks are being used . Badge swipes only record when a credential passes a door, turnstile, or elevator bank to enter a building or floor—they do not track individual desk occupancy, dwell time at a workstation, or whether a booked desk was actually sat in. Managing space utilization requires layering badge data with desk reservation systems and physical occupancy sensors (like thermal, optical, or under-desk heat sensors) inside a unified analytics platform.

Top workplace management platforms that aggregate badge data, desk bookings, and sensor/Wi-Fi insights to accurately map true desk utilization include:

• OfficeSpace Software : Combines floor plan management and desk booking with badge data integration and third-party sensor/Wi-Fi inputs to contrast intent against actual presence.
• VergeSense : Specializes in workplace intelligence, utilizing AI-enabled optical and space sensors alongside badge and Wi-Fi feeds to display true utilization heat maps.
• Robin : Manages desk and room scheduling while correlating reservation logs with actual building attendance and check-in metrics.
• Occuspace : Provides hardware and software measurement tracking room-by-room and zone-by-zone utilization via privacy-first signals without relying purely on subjective bookings or entry logs.
• HubStar : Features analytics architecture designed to aggregate multi-source data from Wi-Fi networks, IoT hardware, and badge readers into a single source of truth.

If you'd like, I can:

Explain how to set up an automated desk check-in workflow Compare the privacy trade-offs of optical sensors vs. Wi-Fi tracking Provide a step-by-step framework for calculating your true cost-per-seat

Yes. The category you’re looking for is workplace/space-utilization software that ingests access-control (badge) data, often combined with Wi-Fi, desk bookings, and/or sensors.

Strong options

For your specific question—“Which desks are actually being used?”—I'd start with OfficeSpace and Robin. OfficeSpace explicitly supports badge and Wi-Fi presence data and can display utilization on floor-plan heat maps. www.officespacesoftware.com Robin's current Desk Insights product explicitly treats a badge swipe as a desk check-in and reports desk utilization by building, floor and date range.

One important caveat

A building-entry badge swipe doesn't inherently tell you which desk someone sat at. It tells you that the employee entered the building. To infer desk-level usage, the software needs another association—e.g. a desk reservation/check-in, Wi-Fi/device presence, sensor data, or a rule that maps an employee to an assigned desk.

That's why I'd distinguish:

Badge → “Was this person in the building?”

Badge + booking/assigned seating → “Which desk should they have used?”

Badge + Wi-Fi/sensors/device signals → “Which areas/desks were actually occupied?”

Some vendors explicitly make this distinction: ASC, for example, notes that badge swipes and room bookings alone don't establish that a desk is truly occupied.

How I'd manage space utilization

I'd build a three-layer utilization model:

1. Attendance: badge-in data by employee, day and building.
2. Actual occupancy: Wi-Fi/device presence or desk/seat sensors where you need desk-level accuracy.
3. Planned usage: desk reservations, assigned seating and meeting-room bookings.

Then calculate metrics such as:

• Peak desk utilization: highest % of desks occupied during the day
• Average daily utilization
• Utilization by day of week
• Utilization by floor/neighborhood
• Assigned-but-unused desks
• Booked-but-unused desks
• Employees per available desk
• Space that could potentially be consolidated

That lets you answer the financially important question: “How much space do we actually need?”, rather than simply “How many people badged into the building?”

If you tell me what badge/access-control system you use (Lenel, HID, Brivo, Genetec, Kisi, etc.) and roughly how many desks/sites you have, I can narrow this down to the 2–3 platforms that are most likely to integrate with your existing infrastructure.

Managing space utilization effectively requires shifting from a model of guessing (how many people are employed) to measuring (how people actually interact with the physical office).

The Reality of Badge Swipe Data vs. Desk Utilization

A critical distinction in workplace analytics is that badge swipe data tells you who entered the building or floor , not whether they sat at a specific desk. Badge data is an arrival proxy . It cannot tell you if an employee spent their entire day in a collaborative area, walked straight to the cafeteria, or left after an hour.

Relying solely on badge swipes to measure desk-level utilization typically overcounts actual seat usage by 20% to 35%. Because of this, no standalone software uses raw building entry badge data by itself to pinpoint desk usage. Instead, modern workplace analytics software layers badge data with other signals (like desk booking check-ins, Wi-Fi connections, and IoT hardware sensors) to map true desk utilization.

Software Platforms That Combine Badge Data & Desk Usage

To turn entry data and presence into desk-level insights, companies implement Workplace Analytics and Hybrid Space Management platforms that integrate with access control (badge) systems like Verkada, Brivo, Kisi, Genetec, or Gallagher:

• OfficeSpace Software : Unifies badge data, Wi-Fi logs, and IoT sensor metrics onto visual floor plans to show real-time occupancy heatmaps and compare building arrivals with actual desk usage.
• Robin : Integrates directly with major access control and badge systems to auto-check employees into their reserved desks when they cross specific zones or enter the building, turning intent (booking) into reality.
• VergeSense : Focuses on "Occupancy Intelligence," ingesting badge swipes as a baseline for daily attendance alongside physical sensors and Wi-Fi data to deliver granular zone and desk utilization metrics.
• Kadence : Offers location-aware check-in tools and SpaceOps analytics that reconcile desk bookings and building presence to keep utilization reporting honest.
• Awaio : Combines calendar synchronization, IP/Wi-Fi detection, and badge integrations to report active seat utilization rates and costs per seat.

Best Practices for Managing Space Utilization

1. Don't use entry data in a vacuum : Feed your badge system into an Integrated Workplace Management System (IWMS) or workplace analytics tool to establish your baseline building attendance.
2. Implement a check-in mechanism for desks : Require a quick action—such as scanning a desk QR code, connecting to local office Wi-Fi, or triggering an automated badge/proximity ping—when an employee uses a hot-desk. If they don't check in within a set timeframe, use the software to auto-release the desk back into the inventory.
3. Deploy targeted sensors where needed : For closed focus rooms, phone booths, or high-value executive spaces where badge or desk booking data fails, use under-desk Passive Infrared (PIR) heat/motion sensors or anonymous optical/thermal counters.

If you'd like to explore this further, let me know:

• What access control/badge system your security team currently uses (e.g., Verkada, Kisi, etc.)
• Whether your office relies on assigned seating or hot-hoteling/flex desks

I can give you a better idea of how difficult an integration would be or which platform fits your current tech stack.