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WAIT TIME


There are many components that make up the path to sales; merchandising, adequate staffing, environment ... and how long a customer must wait for assistance. i3's exacting video analytics provide data necessary to minimize wait times and maximize staff. Information on traffic, conversion, staffing levels and sales empowers strategies on how and when to staff.

Q-Time analysis resides under the umbrella of VideoLogix™ and uses the VisionCount module to count customers entering pre-defined directions with overhead cameras, calculating waiting time for customer service, and counting vehicles and their wait time in the drive-thru area. Q-Time analysis transforms video into a continuous stream of business intelligence such as daily traffic distribution, sales conversion rate and average service time. Data is gathered by exploiting an enterprise software solution called Central Management Software (CMS). Information from CMS will allow management to compare the relationship between the number of customers and revenue from multiple locations across the globe.



FEATURES

  • Automatic calculation of conversion rate, transaction count, total sales,average transaction value, average number of items, and more - by hour, day,week, day of week, month or other time periods.
  • Information may be gathered on individual sales registers to identify opportunities for conversion enhancement.
  • Mapping of shopper flow provides visibility to queue times during specified time periods.

BENEFITS

When taking advantage of the existing camera security system, Q-time adds great value. Traditional traffic counting devices such as infrared beams are no longer sufficient to gather data. Capturing the exact number of customers entering a facility, integrating those numbers into a database system, and providing valuable data by comparing them with POS values is vital information.The data gives managers facts to strategize staff planning, advertising campaigns, and sales forecasting.

Managing queue times is vital to ensuring that customers leave a merchant feeling satisfied with the experience ... and eager to visit again.


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