Why enterprises are turning Wi-Fi into indoor location intelligence

Outdoor positioning via satellite works reliably until you step indoors. Once inside a building, GPS cannot determine which floor, room or hallway you occupy, nor can it track where assets or people are moving. This gap has left indoor environments effectively invisible to organizations, creating blind spots that undermine hybrid work strategies, digital transformation initiatives and artificial intelligence deployments.

Many organizations believe addressing this challenge requires new infrastructure: dedicated networks, specialized sensors, and additional systems to purchase and operate. The reality is different. Enterprise wireless access points already collect the same signals that indoor location systems rely on. The data simply has not been extracted yet, but the hardware capable of generating it sits in place across most buildings.

For IT, operations and facilities leaders, this shift in perspective has significant implications. Using existing Wi-Fi infrastructure to enable indoor positioning removes the need for additional complexity while delivering new visibility. AI and automation platforms gain access to real-time physical context, which directly improves performance and return on investment.

Multiple business drivers are converging

Indoor location intelligence has existed for years, but recent developments are accelerating adoption. Hybrid work arrangements have driven demand first and foremost. According to CBRE, office utilization reached 53% in 2025, the highest point since the pandemic began, with organizations now provisioning 111 seats for every 100 employees on average.

Artificial intelligence has simultaneously become essential to enterprise operations, according to Deloitte research, and it requires real-time awareness of physical conditions. Optimization systems designed to improve schedules or space allocation cannot act without knowing where things and people are located.

The consequences of this gap appear across multiple departments. Facilities teams spend budgets heating and cooling unoccupied rooms. Security operations struggle to respond quickly to incidents. Pilot AI projects stall because they lack visibility into what is happening on the floor.

These challenges typically span departments that operate independently. According to Anilash Azeez, product manager at HPE, "Traditionally, IT took care of the network, and the operations team had a different solution to solve its own problems. They were silos." The pandemic forced these separate groups to collaborate, he noted.

Solving this shared problem no longer demands expensive or complex new deployments. The Wi-Fi infrastructure already present in most facilities can generate the necessary data, though many organizations have not recognized this opportunity.

Real-world applications across industries

Asset tracking represents one of the most straightforward benefits. According to 24x7 Magazine, U.S. hospital nurses spend as much as one hour per shift locating equipment, which translates into billions of dollars in lost productivity annually. Healthcare organizations also purchase excess equipment because they cannot verify their existing inventory.

Manufacturing environments see measurable gains in both cost and output. An electric vehicle maker implemented asset tracking using its existing wireless infrastructure, reducing deployment expenses by roughly half. After gaining visibility into material flow, the facility increased production from 280 vehicles monthly to a consistent 320 units. "That's a significant return on investment," Azeez stated. Tool management carries equal importance. "If someone leaves a tool inside a car after fixing a door, it's now a quality assurance issue," he explained.

Office environments benefit from the same Wi-Fi infrastructure through wayfinding systems, desk reservation platforms and occupancy tracking linked to heating and lighting controls. Retail locations can deliver personalized offers to shoppers upon network connection and guide them directly to specific merchandise.

Location intelligence also enhances security operations. When the San Diego County Sheriff's Office upgraded its Wi-Fi network with HPE, location capabilities came integrated. Investigators can now cross-reference individuals, devices and assets against a specific date and time across more than 100,000 records, reducing investigation timelines from days to minutes.

Building a foundation that grows with your needs

Physical-world context has become a critical input for major business initiatives. As AI investments expand, the importance of this data will only increase, making today's technology choice consequential for future possibilities. A solution designed only for immediate use cases may force expensive replacement later. An approach built on open industry standards rather than proprietary vendor technology preserves flexibility.

"If you buy a proprietary solution from one vendor, you're locked in," Azeez cautioned. Open standards enable organizations to combine location software from one provider with devices from another while maintaining compatibility. This flexibility extends to sharing location data across different applications and external partners, supporting faster innovation and lower total cost of ownership.

The selection process should begin with business objectives rather than technology specifications. "Rather than finding a technology and then chasing a problem, define what you're trying to improve in your business," Azeez advised. Organizations frequently demand centimeter-level accuracy they will never use. "What do you want to do with it?" he asks prospects. "Often they don't know."

When evaluating solutions, Azeez recommends assessing four dimensions:

• A robust partner ecosystem allows selection of applications and hardware tailored to your industry and regulatory environment.
• Open API integration enables location data to flow into systems you already operate, including building management platforms and AI agents, rather than remaining confined to a vendor's proprietary interface.
• Scalability determines whether new use cases build on the initial investment or require separate infrastructure. On an AI-native network, self-driving capabilities that identify and resolve connectivity issues can also monitor location services, detecting problems before they disrupt operations.
• Support for multiple location technologies allows you to match accuracy requirements to specific tasks, from directing a visitor to a meeting room to locating a tool on a production line.

Begin with a pilot focused on a single use case and a measurable outcome, such as time required to locate an asset. Establishing the right foundation early transforms indoor location into a sustainable competitive advantage that expands alongside organizational growth.

The next competitive edge

Capabilities that once required overlay networks and dedicated hardware can now operate on standard enterprise infrastructure, making indoor location simpler and cheaper to implement. Leaving this capability unused means strategic decisions will continue relying on guesswork instead of actual physical-world data.

For IT leaders, the business case is straightforward: colleagues have wanted these capabilities for years but could not justify the expense. That functionality is now available on the network infrastructure the organization already owns. As the list of potential applications grows, Azeez concludes, "You get more for less."