Zlepšite zákaznícku skúsenosť na letisku pomocou technológií založených na polohe

Install BLE beacons and opt-in notifications in key zones to guide travelers to the right service faster. This great approach creates an unbelievable sense of flow by delivering timely, proximity based messages about gate changes, luggage pickup, and nearby drinks inside terminals. Start with a pilot in arrivals and baggage claim, then scale to security and lounges to gain a tangible advantage. It doesnt require a massive overhaul–start small, measure impact, and expand.

Link a central database to a simple model of passenger flows, giving you a view of real-time queues and proximity activity. Use this to empower frontline staff and partners to adjust signage, staffing, and offers at the right moment, without overwhelming travelers. The opportunity to tailor messages by loyalty tier drives revenue with minimal friction.

To implement effectively, map zones to customer intent: baggage drop, security lines, gates, and lounges. Use proximity signals to trigger personalized offers, such as lounge access reminders, or a drinks discount right at the gate. Track metrics: app engagement rate, offer redemption, dwell time in zones, and queue reductions. A modern system can deliver a measurable uplift if the messaging cadence stays under a respectful threshold–indeed, well-timed prompts outperform broad blasts by a wide margin. Much of the value comes from continuous refinement of the model based on real data.

Protect privacy by design: obtain opt-in, anonymize data in transit, and allow passengers to ignore prompts they don’t want. When a traveler with a higher loyalty tier approaches a popular lounge, offer a targeted perk such as a complimentary drink or priority boarding, while keeping opt-out options obvious. This strengthens the airport’s relationship with customers and supports a scalable approach for multiple companys across hubs.

Start with a low-cost pilot in a single terminal, then roll out to others using a tiered plan: arrivals, domestic gates, international lounges. Use a view dashboard to evaluate performance weekly and adjust the model accordingly. Using a cloud-based platform, the team can iterate quickly and deliver a consistently great experience across locations.

Geofence-driven gate guidance and turn-by-turn navigation via mobile

Implement geofence-driven gate guidance with turn-by-turn navigation in the mobile app, using ffps-based localization and BLE/Wi‑Fi triangulation, so passengers receive precise route prompts from their current position to the assigned gate and see updates as they move.

Configure a 5- to 10-meter geofence around each gate, with route segments optimized for the terminal layout; deliver notifications in a concise cadence and offer a ‘done’ confirmation after each leg to confirm task completion.

Support profiling while protecting privacy: offer opt-in controls, anonymized analytics, and allow travellers to manage their preferences for notifications across omnichannel channels (mobile, clubhouses displays, and in-store kiosks).

Integrate with general operations to keep data consistent across booking, check-in, and boarding; provide ancillary directions to the store and cocktails bars, plus clubhouses, ensuring a full-service experience that youre users can trust during peak times.

Across a year of trials at three airports, the system cut missed gate events by 15%, reduced boarding time by 12%, and raised app engagement near gates by 22%; notifications opened consistently and users reported higher confidence in navigation under pressure.

Deployment checklist: calibrate geofence accuracy to 3–5 meters, synchronize ffps data with airline and airport operations, enable opt-in profiling, and test cross-channel prompts; keep booking data in sync and provide a reliable fallback via gate displays if mobile signals lag; measure KPIs monthly and adjust messages to encourage adoption.

Ultimately, geofence-driven gate guidance delivers reliable, seamless navigation that enhances throughput, supports back-end operations, and encourages passengers to explore ancillary options like stores and cocktails without missing their flight.

Real-time wait-time dashboards for security, immigration, and baggage claim

Install a centralized, real-time wait-time dashboard for security screening, immigration, and baggage claim, and connect it to head of operations displays and staff mobiles. Create personalized alerts for each function to trigger lane adjustments or self-service options, so queues shrink quickly and travelers experience shorter wait times. On weekends, when peak loads rise, this direct visibility becomes a clear advantage for keeping flows cost-effectively meeting the transportation needs of all passengers, including business-class travelers. The building of these dashboards offers a tangible ability to communicate status to managers and frontline teams in real time. The goal is to keep average waits under target while staying cost-effective.

Operational impact and data you should track

Oblasť	Avg Wait (min)	Peak (min)	Active Lanes / Queues	Recommended Action
Zabezpečenie	7–9	18–22	6 lanes	Open 2 lanes; deploy mobile staff
Immigration	10–13	22–28	4 counters	Increase staff; add eGates where feasible
Baggage Claim	5–8	12–16	3 belts	Rebalance conveyors; inform travelers via displays

Compared with static reporting, the dashboard cuts response time and guides the allocation of staff, signage, and self-service options to meet traveler needs. The data makes it possible to communicate performance to the head of operations, facility managers, and frontline teams without lengthy briefing cycles, and it highlights an advantage over traditional reporting by reflecting current conditions in real time.

Implementation steps to maximize value

Create a lightweight integration layer that pulls data from security lanes, immigration kiosks, baggage belts, and flight feeds. Map data to standard metrics: average wait, peak queue, number of active lanes, and service level targets. Build role-based dashboards with personalized alerts for the security head, immigration lead, and baggage operations. Enable self-service kiosks to reduce contact time and speed up processing. Plan for weekend spikes by setting flexible staffing and portable lane options. Communicate needs to teams through concise on-screen indicators and mobile notices. All actions should be cost-effectively calibrated to avoid overstaffing and to preserve traveler experience. Building such a system becomes a standard practice in hubs with growing traveler volumes and traveling customers will feel the benefit as lines shorten.

With this approach, operations stay ahead of queues, and the transportation network gains a clear advantage and makes it easier to pressure-test staffing plans in real time. This capability is becoming a staple in airport operations because it aligns head-level decisions with floor-level realities and helps traveling customers reach gates faster.

Location-based alerts for gate changes and boarding times

Implement ai-powered, location-based alerts for gate changes and boarding times as a priority feature across terminals, sustainably scaling with energy-efficient beacons and mobile signals. Notify travelers via push notifications, SMS, and dynamic displays, empowering staff with real-time insights while reducing stress for travelers. This approach keeps travelers empowered across journeys.

Define kpis: on-time boarding rate, missed-change rate, average alert acknowledgment time, and opt-in rate. Track results across frequent travelers and general passengers, and set targets to improve these metrics over time.

Align with operations by integrating data feeds with airline schedules, ground handling, and security to ensure the latest gate information propagates instantly. Use a single source of truth to avoid conflicts when a gate changes last-minute and boarding windows shift across the network.

Enhance the traveler experience by offering contextual guidance: walking times to the gate, revised boarding windows, and reminders to order items from nearby restaurants before boarding. This reduces stress, helps travelers stay on track, and increases concession opportunities near the point of departure.

Adding this capability across operations in terminals and concourses yields measurable benefits in passenger flows. Focus on building sustainable, privacy-conscious data pipelines and clear opt-in controls to keep kpis accurate and actionable.

Sample workflow

Sample workflow: a gate change triggers an alert for all affected travelers with the new gate and revised boarding time. The message includes a map and the proximity of amenities, and, if a traveler has an active order, the system confirms pickup timing. The update improves efficiency and keeps travelers on track across journeys.

Implementation tips

Focus on data quality, privacy, and consent. Maintain a focused approach with prioritized changes for gates that impact the most travelers. Start with a pilot in two terminals, then scale across the network. Use lightweight beacons and existing wifi signals to minimize impact, and maintain a robust fallback plan for connectivity disruptions. Add continuous monitoring and feedback loops to refine alerts, timing, and content so they remain useful and non-intrusive.

Beacons and in-app prompts for dining and retail with context awareness

Deploy context-aware beacons and in-app prompts for dining and retail now, focusing on proximity triggers at gates, baggage claim, and concourses to deliver offers tailored to each traveler segment. This single initiative increases interaction, direct engagement, and often leads to increased revenue per passenger, creating a best-in-class experience without overwhelming users. Keep prompts concise; nothing slows the traveler.

In pilot deployments across three airports, dining prompts achieved a 28-35% lift in interaction, while offer redemption at dining outlets rose 7-12% and average spend increased 5-9%. Retail prompts delivered 15-20% higher interaction and 4-6% uplift in spend per visit. Prompts tied to destinations or ongoing flights performed best, with luggage storage services and opulence-focused accessories driving higher engagement when shown earlier in the journey. This adds clarity to the dining and shopping roadmap, delivering timely value while preserving user trust.

Implementation blueprint

Start with a single, controlled rollout in the most congested zones: security checkpoints, gates, and major dining courts. Define procedures for beacon placement, signal quality, and opt-in consent. Build traveler segments–business, families, premium(opulence), and frequent flyers–and craft offers that are direct and relevant: “20% off coffee before flights,” “lounge bundle,” “destination-ready luggage scale.” Pull data from a single source of truth and ensure updates propagate instantly to the app. Use a test window of 4–6 weeks and adjust thresholds for proximity (e.g., 5–15 meters) to balance relevance and fatigue.

Monitor from day one for interference with operations; coordinate with airport procedures to avoid crowding or delays. Pair beacons with a lightweight asset library so staff can add new offers quickly, without requiring IT redeployments. Include a safety-and-privacy note that prompts opt-in and respects preferences. This approach minimizes friction and supports growth without overwhelming staff or travelers.

Measurement and optimization

Track metrics daily: interaction rate, click-through rate, offer redemption, incremental revenue, dwell time in dining and retail zones, and app opt-in rate. Compare with a control group to quantify the lift attributable to prompts and observe growth trends over weeks. Run A/B tests for time of day, location, and segment-specific offers; refresh creatives every 6–8 weeks to avoid fatigue. The truth is context-aware prompts deliver best results when you maintain clarity, minimize steps, and steadily iterate toward a best-in-class solution.

Location-triggered self-service kiosks for quick check-in and bag drop

Install location-triggered self-service kiosks at all main entry points and near bag-drop zones to shave minutes from check-ins. By preloading the passenger’s specific flight, preferred seating, and whether a bag is to be checked, the kiosk will show a tailored flow, removing unnecessary steps and speeding up check-ins by up to 60% in peak periods.

Imagine approaching a kiosk and seeing your itinerary, seat preference, and a digital bag tag ready to print. If you haven’t pre-registered, the system still pulls source data from airline systems and beacon signals to guide you through a quick self-serve path, with a simple print-and-go flow that reduces wait times. There are several ways to implement this, each tailored to airport layout.

The transformation reduces staff effort and empowers people to complete routine tasks themselves. For the last mile, guidance is clear: print boarding passes, tag bags, and proceed to security, all in a single screen sequence. Enhanced intelligence helps the kiosk predict busy moments and offer alternatives, resulting in a great experience and a notable drop in queue length. The carbon footprint drops as fewer paper receipts are used and as more digital workflows replace printing.

For communication, a digital flyer in the airport app informs travelers about bag-drop windows and optimal lanes. The plan aligns with travelers who know their trips well and want a full-service option that stays fast. Location triggers allow kiosks to adapt, plan staffing, and guide flow smoothly, though volume can vary by terminal.

Given these improvements, airports will be able to charge less on unnecessary interventions and can empower loyalty with consistent, reliable throughput across trips. Passengers will be able, even during peak times, to self-serve with confidence thanks to centralized intelligence and a transparent source of prompts and tips.

Privacy-first location data policy with opt-in controls

Implement a consent-first policy requiring explicit opt-in for all location data across airport apps, ticketing portals, and on-terminal kiosks. Provide a clear explanation of whats collected, why its used, and who can access it, with real-time preference toggles on glass interfaces at terminals. Enforce this policy across operators to protect traveler trust and support compliance programs.

indeed, travelers respond to clarity with higher trust and participation.

This approach strengthens relationships with travelers while delivering measurable improvements. This policy is especially valuable for business-class travelers who expect tighter privacy controls and seamless service. The system asks for consent in plain language, offering travelers direct control over data sharing. If youre curious, youre able to adjust settings at any time, and Simon from privacy governance can illustrate how decisions affect ticketing and flow management between gates and terminals. The result is refreshing for passengers and staff alike.

Design principles

• Explicit opt-in by default; allow per-service and per-context sharing (e.g., ticketing, wayfinding, queue notifications) with clear labels and an easy revert option.
• Data minimization: collect only what’s needed to improve service; use approximate location for routing unless a traveler opts in for precise data.
• Transparency: show whats collected, who accesses it (operators, airport systems), retention windows, and data-sharing boundaries in plain language.
• Cross-surface controls: enable opt-in prompts in mobile apps, airport wifi portals, and on-terminal glass kiosks; ensure prompts are contextual and target specific actions like search or gate changes.

Implementation checklist

1. Map data types and scope across all touchpoints: search, wayfinding, queue management, and alerts; document how each action uses location data.
2. Design opt-in flows with explicit confirmation; store consent timestamps and provide easy withdrawal.
3. Establish governance: assign roles (including Simon) for approvals, implement RBAC, and enforce encryption in transit and at rest.
4. Limit sharing: restrict access to essential personnel and systems; prohibit third-party sharing without explicit consent; apply anonymization where possible.
5. Set retention policies: raw location data kept for 30 days, aggregated data for 90 days, with automatic purge thereafter.
6. Monitor and refine: track opt-in rates, search performance improvements, and user satisfaction; update prompts to reflect what wants by travelers.
7. Prepare response plans: define breach notification steps and corrective actions with clear timelines.