Business & Customer Service

 

BUSINESS CHALLENGES IN RETAIL

Brick-and-mortar businesses experience more and more pressure to keep up with their e-commerce competition regarding customer information. The latter seemingly knows everything about online shop visitors and their behaviour whilest almost no information is available about shoppers in physical stores. Especially when it comes to multichannel sales and marketing, extensive knowledge about in-store clients is vital.

NETAVIS contains various optional video analytics modules to obtain the much needed information. Easy-to-activate upon exchange of license key and applicable camera per camera, iCAT Video Analytics provides customer information whilst sensitive privacy regulations are met. By using surveillance infrastructure for business purposes, NETAVIS significantly increases the return on investment of security installations.

To actually improve operations and increase sales, the NETAVIS sMart Data Warehouse contextualizes video data with relevant sales and operations information and provides intuitive charts for conversion rates and other key performance indicators, user-specifically tailored for each user and the tasks at hand. Thus retail executives are empowered to actively manage conversion and optimize business operations as well as sales and marketing.

Especially for medium-sized up to international store chains, the disproportionate scale of such data often poses a challenge. Due to big data technology and MDX interfaces, NETAVIS Data Warehouse is able to provide convenient central management of unlimited subsidiaries.

 

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CUSTOMER FREQUENCY

 

NETAVIS provides highly accurate and bidirectional customer frequency monitoring. The unique Smart-Tripwire technology and self-learning components substantially reduce the error ratio. Upon request, the video analytics data is processed in NETAVIS sMart Data Warehouse and combined with relevant contextual information like weather data. Periodical PDF reports and sMart Dashboards are catering to individual requirements and provide user specific overviews at a glance.

  01-PeopleCounter   NPR

 

 COUNTING

 

Frequency Bar Hours-pD

 PEAK ANALYSIS

 
Peak-Analysis Line Days-pW

TURN-IN-RATE

Turn-in Bar Days-pW

   

 

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CUSTOMER SEGMENTATION

 

NETAVIS distinguishes faces in video streams and estimates age group and gender for demographic segmentation of in-store clients. Geographic segmentation is realized by virtue of number plate recognition. Visualising those segments user-specifically and combining them with contextual sales and weather data in NETAVIS sMart Data Warehouse enables better customer service, enhanced product placement and improved target marketing.

 
02-FaceDetection 1000px
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 GENDER


Segmentation Gender Pie Days-pW

 AGE GROUP

Segmentation AgeGroup Bar Hours-pD

ORIGIN

Segmentation Car Pie Country
   



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 CUSTOMER BEHAVIOUR

 

NETAVIS generates heat maps of four different types of analytics data: amount of moving customers, speed of moving customers, amount of stopping customers and their stopping time in the store. With the colored overlays, retailers quickly gain valuable knowledge about customer behaviour. Periodical comparison and comparisons across the shops or between multiple subsidiaries are crucial to monitor promotional activities or to optimize store layouts. The heat map images are provided as PDF reports by NETAVIS sMart Data Warehouse for convenient usage.
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 CUSTOMERS MOVEMENT

Behaviour Movment HeatMap

AMOUNT OF STOPS 

Behaviour Stops HeatMap

DWELL TIME

Behaviour Dwell-Time HeatMap

   

 

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Queue Management

 

NETAVIS automatically detects queues of people in front of checkout counters, information desks or similar locations. Upon reaching a previously configured threshold, speaker announcements, staff prompts and other processes can be triggered to improve customer service.
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CONVERSION RATE MANAGEMENT

 

NETAVIS sMart Data Warehouse provides scheduled PDF-reports and intuitive dashboards for vital conversion rate management and other freely definable key performance indicators. By merging video analytics data like people counting as well as age group and gender estimation with related sales data, real business value is provided. Optional integrations of POS systems as well as other data sources are available upon request.

 

Conversion Bar Days-pM