In-Store Navigation & Wayfinding

Immersive 3D content can bring the product to the customer, but for many, the journey still ends in a physical store. Here, the challenge shifts from virtual to physical navigation. Retail Touchpoints says 67.3% of customers who leave stores empty-handed do so because they cannot find the product they need. This problem affects retailers across formats, from grocery stores to home improvement centers and big-box discount retailers, where complex layouts create a maze-like experience.

The financial implications of poor wayfinding extend beyond lost sales. Retail employees spend considerable time providing directions rather than assisting with sales. Over 36% of shoppers over age 55 spent at least an extra 10 minutes in supermarkets due to confusion caused by changed layouts. Across age groups, a third of shoppers are spending 20% longer in-store when retailers change their layouts. These extended shopping times create operational inefficiencies and increase labor costs.

The complexity of modern retail spaces compounds these challenges. With about 40,000 items in its stores, finding them is a common complaint at one home-improvement chain, says its manager of mobile. Last year, it added store maps and aisle numbers to its app. It hopes to locate items more specifically, but with so many items, accuracy and consistency from store to store is “a big challenge,” he says. The human cost manifests in reduced customer loyalty and decreased basket sizes as shoppers limit their purchases to items they can easily locate.

Modern indoor navigation systems leverage a sophisticated combination of AI, computer vision, and multiple positioning technologies. According to Business Research Insights, the market was valued at $4.31 billion in 2024 and is projected to grow to $32.31 billion by 2033, with a CAGR of 24.5%. The core architecture typically integrates multiple sensing modalities, including Bluetooth Low Energy (BLE) beacons, Wi-Fi positioning, and computer vision systems that analyze visual markers to determine precise indoor locations without extensive hardware.

The AI components employ machine learning for path optimization, NLP for conversational navigation, and predictive analytics to anticipate customer needs. These systems process vast amounts of real-time data, including store layouts and inventory levels, to generate optimal navigation routes that consider factors like store congestion and accessibility.

The integration architecture presents significant technical challenges. Beacon-based indoor positioning reaches an average accuracy of five to six meters, which is acceptable at an airport but can be frustrating in a store. According to Mike McNamara, Target’s CIO, an average-sized Target store has roughly 1,000 beacons. These beacons cost $10-20 per unit and require routine battery replacements. Modern solutions increasingly adopt hardware-free approaches using smartphone sensors and AI-powered dead reckoning to reduce infrastructure costs. The limitations of current indoor navigation technology include signal interference, the need for frequent map updates, and the challenge of achieving consistent sub-one-meter accuracy. Privacy concerns also arise as these systems collect detailed movement data, requiring careful data governance. Additionally, the technology must accommodate varying smartphone capabilities while providing fallback options for customers without compatible devices.

Major retailers have begun deploying indoor navigation solutions with measurable success. Kesko deployed BLE- based indoor navigation technology from Navigine across over 100 of its supermarkets in Finland. The solution enabled real-time wayfinding and location-based promotions, increasing average check size by 6%, reaching 50% of cart users with push notifications, and guiding 25% of shoppers along recommended routes. This implementation showcases how indoor navigation can become a platform for personalized marketing.

Morrisons, a major U.K. supermarket chain, developed a tool using Gemini AI models on Google Cloud that enables shoppers to swiftly find products, and reported it was used 50,000 times per day during the Easter 2025 period.

The healthcare sector provides compelling evidence of operational efficiency gains. Navigine deployed smart wayfinding in partnership with Minew to enhance navigation across hospital facilities. The solution enabled short, efficient routes, reduced equipment search time by 20%, and improved patient and staff safety. Similarly, in industrial settings, Navigine supported Halliburton in deploying a tracking system to monitor staff and tools, reducing tool retrieval time by 22%.

The rapid growth of the indoor positioning market reflects strong adoption, with the global retail market size valued at $5.6 billion in 2024 and estimated to grow at a CAGR of 38.9% from 2024 to 2030, according to Grand View Research. Success factors include change management programs to drive customer adoption and integration of navigation data with inventory systems.

The indoor navigation vendor ecosystem encompasses established technology giants and specialized navigation platforms. Providers differentiate themselves through varying accuracy levels, deployment models, and integration capabilities.

Selection criteria for indoor navigation solutions should prioritize accuracy requirements, total cost of ownership, and integration complexity. Retailers must evaluate whether hardware-based solutions justify their higher costs or whether emerging hardware-free alternatives provide sufficient precision. Future market evolution will likely see consolidation among smaller providers, increased integration of AR, and the emergence of industry-specific solutions.