||Real-time: Monitor real-time entries and exits to optimize staffing, and measure the success of marketing or promotional campaigns. Identify high-traffic areas that need extra attention from employees to keep the areas neat and enticing to shoppers.
Long-term: Evaluate main footfall and customer distribution over multiple departments or areas of interest and reallocate staff, greeters, or customer service agents to increase staff/customer engagement. Track low-traffic departments and areas of interest to uncover possible indicators for lack of interest and shape future marketing or promotional campaigns.
||Real-time: Monitor occupancy for compliance regarding maximum occupancy dictated by health regulations (such as COVID-19) or fire regulations and temporarily restrict access for new customers accordingly.
Long-term: Monitor peak and slow times to adjust opening hours based on time of day, seasons, events, or other periodic events. Use path map visualizations to learn where customers go when they come in and set up displays for better marketing, product placement, or security.
||Real-time: Use footfall count to quantify the requirement to call in more employees due to an unexpected increase in patron numbers. Compare footfall numbers against recent days to identify the possible reasons for the increase.
Long-term: Forecast staffing levels more consistently based on historical footfall traffic and identify when temporary hires might be needed. Use kitchen footfall counters to optimize chef stations usage and reduce the time needed to send out orders.
||Real-time: Observe employee effectiveness based on traffic patterns and dwell times. Redeploy employees based on customer numbers and bottlenecks.
Long-term: Determine which items in the showroom attract more visitors, discover the popular areas of the showroom, and adjust product placement. Evaluate employee effectiveness by comparing dwell times and individual sales conversions.
||Real-time: Reallocate employees from back-of-house to front-of-house based on real-time entry data and optimize the order taking/payment and barista/fulfillment balance.
Long-term: Analyze traffic, sales, and employee performance by the hour, day, week, and month to optimize opening hours and staffing allocation. Use data to increase sales, test promotions, and ensure customer satisfaction.
||Real-time: Observe bottlenecks and monitor occupancy to create better traffic flow and improve customer experience. Monitor suspicious customer activity and redirect security as needed.
Long-term: Compare overall footfall counts and time of day to optimize operating hours. Compare area footfall counts to individual store entries to discover opportunities for shop diversification. Consider moving high-traffic shops to encourage shoppers to explore more of the mall. Monitor the food court usage and restaurant display count to discover which vendors are generating more sales and which new ones to consider inviting.
||Real-time: Prepare for large influxes of possible travelers heading to car pick-up areas based on footfall traffic numbers at a specific location in the terminal. Allocate shuttles and employees to assist customers with rentals instead of other administrative duties.
Long-term: Analyze the use of space, waiting areas, counter design, queue location, temporary luggage storage, and other areas based on historical traveler traffic data. Renovate internal customer-facing areas to allow for better customer experience and optimize back office areas for staff.
||Real-time: Monitor the influx of unexpected big parties and automate the reassignment of employees to the front desk to expedite check-ins and registrations, ensure luggage carriers and valets are ready, and mitigate any other possible guest frustration.
Long-term: Track historical patterns of hotel guests by the time of day and day of the week to forecast employee schedules and hiring needs. Observe guest amenity usage counts such as the lounge, restaurants, and pool to plan future usage, expansion, and renovation as required.
||Real-time: Adjust the availability of bank employees in real-time based on customer entries and dwell times.
Long-term: Compare customer traffic numbers to opening hours and service offerings to discover insights or changes that can be made to optimize the customer experience. Analyze traffic patterns and dwell times and locations to reposition service locations internally to create better customer traffic flow.
||Real-time: Monitor the occupancy in public-facing areas to comply with health capacity regulations. Monitor capacity of patient waiting areas to reduce overcrowding and direct employees to appropriate locations to pick up patients. E.g., If patients were directed to an overflow area, employees will know to find patients there instead of in the main waiting room.
Long-term: Evaluate the use of popular areas of interest like the entrance foyer, waiting areas per department, pharmacies, etc., and adjust space to accommodate future traffic. Monitor low-use employee areas to prioritize new expansion or conversion for high-use services or areas.
||Real-time: Observe changes in traveler densities at critical pathways or bottlenecks, empower management to reroute foot traffic and staffing distribution to alleviate densities. Sensors allow minute-by-minute monitoring of traffic flow changes to ensure positive outcomes.
Long-term: Analyze historical data to efficiently forecast traffic patterns (daily, weekly, seasonal) to allow for more accurate budgeting and staffing needs. It can also support expansion proposals for heavily used access and traffic points, ensuring needs are met in anticipation of actual requirements.
||Real-time: Monitor high-use gaming areas or stations and reassign employees to better accommodate potential clients. Enforce capacity limits in high-traffic areas to ensure adherence to capacity laws and other local guidelines.
Long-term: Evaluate traffic on a seasonal or event basis, such as local holidays, trade shows, or professional sports events and redesign gaming layout and traffic patterns accordingly. Redesign gaming locations based on use and forecast future expansion/contraction of other game-play models.
|Large Venues / Sport Venues
||Real-time: Monitor traffic patterns at entrance gates and other areas where bottlenecks occur, such as theater or arena entry, where ushers verify patron tickets. Redeploy staff, ushers, and security to optimize flow.
Long-term: Forecast staffing and hiring levels based on past events and avoid unnecessary wait times and lower customer satisfaction. Compare overall occupancy to observed traffic at areas of interest like concession stands, retail locations, and VIP areas to determine sales and revenue conversion rates.
||Real-time: Monitor sudden traffic spikes in real-time that could negatively impact environmental guidelines for the artifacts and redirect security or docents to disperse crowds or redirect people to other parts of the museum..
Long-term: Report on the overall use of space based on footfall traffic and broken down by exhibit type, artist name, or other categories. Compare footfall traffic to ticket sales and revenues to forecast exhibit success and plan for future exhibits.
|Smart City / Outdoor Venues
||Real-time: Monitor traffic patterns to prevent overcrowding public places by sending park employees proactively to those locations. Open/close access points to remove bottlenecks. Automatically send social media messages through corporate accounts to advise patrons of potential wait times and increase satisfaction rates.
Long-term: Track outdoor visitor trends in parks, recreational facilities, and hiking trails over time, during specific weather patterns, or outdoor events. Develop occupancy stats and trail usage to determine when to shift hiking trails or other outdoor amenities to prevent overuse. Compare footfall traffic to local retail and businesses in the area. Use data to partner with municipal and local business improvement groups to monitor business health, track engagement during special events.