Maximize On-Shelf Availability. Optimize Store Layouts. Eliminate Shrinkage with RTLS for Retail
Drive omnichannel profitability by automating inventory audits, visualizing digital twin retail use cases, and streamlining the digital twin in the retail supply chain in real-time.
RTLS answers the "where," Digital Twins answers the "why" and "what next." In the retail sector, this means moving from simple inventory visibility to predictive merchandising and automated store operations.
Exponential Value: Redefine Retail Performance LocaXion delivers proactive control to eliminate shrinkage and optimize shopper experiences alongside audit-ready compliance with instant, verifiable digital records for inventory accuracy, loss prevention, and brand standard execution.
How RTLS Digital Twin integration eliminated "phantom inventory" and optimized BOPIS fulfillment
A flagship 80,000 sq. ft. department store struggled with the disconnect between online inventory data and in-store reality. With over 60,000 active SKUs (Stock Keeping Units) moving between stockrooms, sales floors, and fitting rooms, manual scanning led to a 65% inventory accuracy rate. This "phantom inventory" caused 18% of Buy Online, Pickup In-Store (BOPIS) orders to be cancelled because staff couldn't physically locate items the system claimed were available, severely damaging brand loyalty.
Phase 1 – RTLS Deployment: Installation of discreet overhead UHF RFID arrays and BLE (Bluetooth Low Energy) beacons. Every garment, shoe box, and display fixture was tagged, along with handheld associate devices, creating a dense mesh of item-level visibility.
Phase 2 – Digital Twin Integration: A live "Virtual Store" was created, syncing real-time location data with the retailer’s OMS (Order Management System). The twin added a spatial logic layer, differentiating between "sellable" locations (sales floor) and "unsellable" zones (fitting rooms, quarantine racks, or misplaced in the wrong department).
As RTLS allowed associates to "Geolocate" a specific size/color SKU to within 1 meter, the Digital Twin provided Predictive Merchandising. The system now analyzes item movement patterns—identifying products that are frequently taken to fitting rooms but rarely purchased (indicating a fit or pricing issue)—and visualizes "Cold Zones" on the floor. This insight drove a 15% lift in conversion rates through data-backed layout changes and delivered 5x the ROI of traditional loss prevention systems.
Reduction in Item Search Time (instant wayfinding)
Increase in Fulfillment Speed (optimized pick paths)
Inventory Accuracy (real-time vs. periodic counts)
"Dark Stock" (items hidden in backrooms or wrong aisles)
Inventory accuracy hit 99%, sales conversion up 15%, and shrinkage dropped by 40% with RTLS Digital Twin predictive intelligence.
Retailers manage thousands of SKUs across sales floors and backrooms. In busy stores, 15–20% of inventory records are incorrect due to "Phantom Inventory"—items the system says are in stock but are actually missing, stolen, or misplaced. This visibility gap forces 12% of BOPIS (Buy Online, Pickup In-Store) orders to be cancelled, costing retailers millions in lost sales and customer loyalty annually.
The fitting room is the "black hole" of apparel retail. Without real-time tracking, high-value items accumulate in "return racks" or fitting stalls for hours, effectively becoming "unsellable." This "Dark Stock" phenomenon means 10-15% of the most popular sizes are off the sales floor during peak traffic, leading to missed conversion opportunities and frustrated shoppers.
In physical retail, associates are the primary brand ambassadors. Without location-intelligent tasking, staff spend 30-40% of their shift simply searching for items or checking prices in the backroom. These logistical friction points reduce face-to-face selling time by 25% and lower overall basket size, as associates cannot quickly assist customers with "find my size" requests.
Retail environments face constant threats from theft and administrative error. "Shrink" costs the industry over $100 billion annually. Traditional security gates only alarm at the exit—too late to prevent the loss. Lack of real-time movement data means loss prevention teams cannot identify "sweeping" behaviors or internal theft patterns until the quarterly audit, leading to an average shrinkage rate of 1.6% to 2.5% of total revenue.
Leaving a popular item in the backroom while the shelf is empty is a silent sales killer. Manual "Gap Scans" are slow and often inaccurate. When a "Hot Item" is stuck in the backroom, the sales velocity drops to zero. RTLS ensures that as soon as a shelf threshold is breached, a task is generated to move the right stock to the right aisle immediately.
Processing returns is a logistical nightmare. 30% of online apparel purchases are returned, and getting them back into "sellable" inventory takes an average of 3-5 days. This "Reverse Logistics" lag creates a massive inventory holding cost. Without item-level genealogy, retailers struggle to verify if a returned luxury item is authentic or a counterfeit swap, complicating fraud prevention and inventory integrity.
Inventory accuracy hit 99%, sales conversion up 15%, and shrinkage dropped by 40% with RTLS and Digital Twin predictive intelligence.
Retailers lose billions annually to "Phantom Inventory"—systems showing stock that doesn't exist. Manual cycle counts are labor-intensive, error-prone, and only accurate for a moment. This visibility gap leads to stockouts on best-sellers and bloated overstock on slow movers.
Retailers lose billions annually to "Phantom Inventory"—systems showing stock that doesn't exist.
Manual cycle counts are labor-intensive, error-prone, and only accurate for a moment. This visibility gap leads to stockouts on best-sellers and bloated overstock on slow movers.
99.5%
Inventory data accuracy
Elimination of
Annual physical inventory audits
10-15%
Lift in sales due to better on-shelf availability
Reduction in
Safety stock levels by 20%
Buy Online, Pickup In-Store (BOPIS) is a margin killer if staff spend 20 minutes hunting for an item. High cancellation rates occur when the system sells an item that staff cannot physically locate, destroying customer trust.
Buy Online, Pickup In-Store (BOPIS) is a margin killer if staff spend 20 minutes hunting for an item.
High cancellation rates occur when the system sells an item that staff cannot physically locate, destroying customer trust.
50%
Reduction in order picking time
Near-zero
BOPIS cancellation rate
Increased
Fill rate for online orders
Improved
Customer satisfaction (NPS)
Receiving is a bottleneck. Manually scanning thousands of items off a truck is slow and errors slide through. Vendor fraud (short-shipping) often goes unnoticed until it's too late to claim credit.
90%
Reduction in receiving labor hours
100%
Accuracy in vendor dispute resolution
Faster
Time to sell for new arrivals
Elimination of
Paper manifests
Traditional EAS gates only alarm when the thief is already leaving. They provide no data on how the theft happened or what was taken. Smart thieves use foil bags ("boosters") to defeat older systems.
40%
Reduction in overall shrinkage
Early
Detection of internal theft (sweethearting)
Higher
Recovery rate of stolen merchandise
Data-driven
Security staffing optimization
The fitting room is a "Black Hole." Items taken inside vanish from visibility. Customers abandon piles of clothes that sit unprocessed for hours ("Dark Stock"), unavailable for other shoppers to buy.
20%
Increase in fitting room conversion
Faster
Return of abandoned items to the sales floor
Valuable
Insights into why products fail to sell
Enhanced
VIP customer experience
Associates often walk miles per shift simply searching for managers, keys, or products. Task assignment is often verbal or static ("Check the front"), ignoring where the associate actually is.
25%
Increase in face time with customers
Reduced
Response time to customer assistance requests
Optimized
Labor scheduling
Higher
Employee engagement
Retailers know what sold (POS data) but not how it sold. They are blind to how shoppers navigate the store, which displays capture attention, and where "bailout" points occur.
15%
Increase in basket size through optimized layout
Data-driven
Planogram decisions
Improved
Checkout throughput
Higher
ROI on promotional displays
Handheld scanners ($1,500+ each) and mobile POS units frequently go missing, get thrown out with trash, or battery-die in lockers. Shopping carts are abandoned in parking lots or stolen.
80%
Reduction in lost equipment replacement costs
100%
Availability of charged devices at shift start
Extended
Asset lifespan
Reduced
Time spent searching for tools
Brands pay for premium shelf placement, but compliance is often low. Products are shelved in the wrong spot, prices are missing, or facings are messy. Manual audits are too infrequent to fix this.
10-15%
Lift in sales due to planogram integrity
Elimination of
Out-of-stock visual gaps
Automated
Restocking tasks
Enhanced
Brand partner relationships
Waiting for a shelf to be empty before restocking is a lost sales opportunity. Gap Scans are manual and lagging. Sales velocity changes (e.g., a sudden heatwave selling out water) catch stores off guard.
30%
Reduction in Out-of-Stocks (OOS)
Increased
sales during peak traffic
More efficient
backroom-to-shelf workflow
Reduced
panic restocking
Proven expertise in delivering RTLS + Digital Twin solutions across high-velocity inventory and complex omnichannel environments.
RTLS and Digital Twin projects delivered globally
Customer satisfaction and long-term engagement rate
Schedule a consultation with our retail experts to discuss your specific challenges and discover how RTLS + Digital Twin integration can drive your path to omnichannel profitability.
Indoor Tracking is the process of capturing the real-time movement of assets, staff, and customers within a store or warehouse. By using technologies like BLE (Bluetooth Low Energy) or VLC (Visible Light Communication), retailers gain "Google Maps-level" visibility indoors. This data allows managers to see high-traffic "hot zones," identify where customers linger, and pinpoint where bottlenecks occur at checkout.
An Indoor Location System (ILS) is the infrastructure that enables high-precision navigation and analytics. It consists of: The Hardware: Battery-powered beacons or smart LED lighting. The Interface: A mobile app for customers (wayfinding) or a dashboard for managers (heatmapping). The Action: It enables Proximity Marketing, sending personalized coupons to a customer's phone the moment they stand in front of a specific product category.
By analyzing dwell time and path-to-purchase data, you can optimize store layouts. If data shows customers frequently visit the "Activewear" section but skip "Footwear," you can adjust floor plans to drive cross-department traffic and increase basket size.
Absolutely. RTLS streamlines Buy Online, Pick Up In-Store (BOPIS) by guiding staff to the exact shelf location of an item, cutting fulfillment time by up to 30% and ensuring customers aren't kept waiting.
RTLS identifies "service gaps"—areas where customers are dwelling but no staff are present. This allows for dynamic staffing, moving employees to high-traffic zones in real-time rather than following a static, inefficient schedule.
Yes. LocaXion utilizes anonymous MAC hashing. We track "devices," not "people," providing rich behavioral data without compromising individual PII (Personally Identifiable Information) unless the customer explicitly opts in via a loyalty app.