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Success Stories Public Area

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Public Area/Facilities and Public Parks

Building Smart Spaces

Challenge

Crowd Variability

Public spaces often experience fluctuating crowd sizes and densities, which can lead to overloading if there isn't a precise estimation of passenger volume.

Complex Movement Patterns

People in public spaces don't follow predictable paths. They may enter and exit from various directions, linger in certain areas, or change direction unexpectedly. Without accurate footfall data, It is hard for the managers to make adjustments to better divert passing crowds and manage congestion effectively.

Environmental Factors

Public areas have more environmental challenges compared to other areas. Factors like glare , weather, and obstacles (such as signage, furniture, or temporary structures) can impact the performance of traditional sensors,

Case Study A

Zhengzhou International Airport Passenger Flow Analysis System

Zhengzhou International Airport is a 4F-class international civil airport with an annual passenger throughput of more than 20 million. Vionvison provides a complete passenger flow analysis and visualisation solution for the airport. The solution includes:

Case Study B

China Science and Technology Museum Visitor Flow Statistics System

Vionvision provides various services such as statistics on the number of people entering and leaving the exhibition halls, real-time statistics on the number of people in the exhibition halls, and early warning of the number of visitors exceeding the limit for the major themed exhibition halls in the museum. Through these data services, the following improvements have been brought to customers:     

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Success Stories Shopping Mall

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Shopping Mall

Building Smart Spaces

Challenge

Inaccurate measurement of visitor flow

It has large difficulty in accurately measuring the number of visitors entering, exiting, and moving within a shopping mall due to the sheer volume of daily traffic. Traditional methods may not provide precise data, leading to challenges in understanding visitor behaviour and optimising mall operations.

Unable to track the trajectory of the visitor flow

Traditional sensors are hard to track the trajectory of visitor flow and understand how individuals move throughout the mall, including their paths, dwell times, and interactions with different areas.

Lack of coverage

Due to the performance limits of traditional sensors and the inability to lever existing video surveillance, it meets the difficult of lack of coverage arises and results in blind spots.

Privacy Concerns & Data security

Without adequate safeguards in place, such as anonymization, encryption, and transparent data handling practices, there is a risk of privacy violations and data breaches, eroding the trust of customers.

Case Study A

Store optimistion of Top Shopping centre, Singapore

Vionvision has been cooperating with this client for more than 5 years. As one of the main global sensory and traffic optimisation solution providers, we have installed more than 1,000 sensors and various kind of intelligent devices in more than 10 Shopping Centres to increase their leasing improvement and investment appreciation.

Case Study B

The Leading South-eastern Asian Luxury Shopping Mall’s Integrated Utilization of Comprehensive Smart Traffic Solution

The client has implemented VionVision’s accurate people counting systematic solution. In 2017, it began with traditional footfall devices covering the entire venue for statistical purposes and data collection, while starting from 2023, the system has been upgraded to full-track accurate traffic, utilizing the wiring and perforations of traditional footfall devices. The system accurately recognizes customer characteristics, entry and exit times, and browsing information, enabling the precise collection of customer profile data. Through precise footfall data, correlations between formats, floors, and stores are observed. This allows for joint marketing for strongly-correlated stores and specialized marketing for weakly correlated stores, enhancing the overall operational capabilities of the project through technological empowerment. By accumulating and analyzing precise customer data, combined with internal and external business, customer, and marketing data, it guides the overall business strategy of the project, creating more value for the company and merchants.

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Success Stories RETAIL

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Retail

Building Smart Spaces

Challenge

Ineffective Targeting

Due to the large numbers of the store in total, the management of a single store is difficult, costly and inefficient.

Inability to Measure Irregular Behaviour

It is hard to achieve accurate assessment of staff and detect irregular behaviours on time such as presenteeism (employees are physically present but not actively engaged in productive tasks).

Difficulty in Optimisation

Without a deep understanding of customer preferences, behavior, and purchasing patterns, it becomes challenging to tailor marketing strategies effectively.

Suboptimal Marketing ROI

Without insights into conversion rates and other key performance indicators of promotions, marketers may find it challenging to measure the effectiveness of their campaigns accurately.

Case Study A

Smart Store Upgrade for a 3C Brand

Vionvision serves the brand’s more than 5,000 stores. The services provided include initial POC testing, overall solution design, front-end equipment installation and commissioning, use training and after-sales maintenance of the cloud platform. The system has been used in more than 300 cities and generates more than 75 million visitor traffic data per month. At the store entrance, Vionvision’s equipment provides analysis services such as passing-by flow and incoming traffic, staff exclusion, store entry rates, dwell time distribution, customer demographic surveys, and more. In the store, it implements functions such as product attractiveness analysis and customer shopping path analysis. Our solutions bring the following value to our clients:

Case Study B

Traffic Analysis for an International Jewelry Brand

Vionvision has cooperated with hundreds of stores under the brand, in addition to basic traffic analysis, it also provides our customers with product attractiveness analysis, dwell time and conversion rate correlation analysis, as well as conversion rate analysis of new season jewelry displayed in the window. Our solutions bring the following value to our clients:

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VionVision Has Completed the GDPR-compliant Certification as to Become A More Trustworthy International AIoT-centric Service Provider

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Building Smart Spaces

VionVision Has Completed the GDPR-compliant Certification as to Become A More Trustworthy International AIoT-centric Service Provider

With the rapid development of the digital economy, artificial intelligence technology is widely applied. However, entwined issues related to personal data privacy and security leaks have also been frequently occurring, especially since 2023. Recently, VionVision's intelligent people counting devices, together with its patented BI software, AI algorithm,  smart analysis terminals, and all other self-developed products, have successfully passed the GDPR compliance assessment based on the protocol legally regulated by the European Union. This will significantly reduce the risks of user data security and privacy leaks, allowing the release of value in more scenarios for digitization and intelligence.

**What is GDPR?**

GDPR (General Data Protection Regulation), enacted by the European Union on May 25th, 2018, is a data protection regulation aimed at safeguarding the personal data and privacy rights of citizens. It establishes rules for the collection, use, processing, and storage of personal data. GDPR has global applicability, and any organization or global company providing products or services to EU data subjects or monitoring their user behavior is subject to GDPR constraints. Focused on protecting personal data security and privacy, GDPR regulates data processing behavior and grants a series of rights to data subjects to promote the realization of data protection and privacy.

Analysis of dwell time and customer satisfaction

Compared with online e-commerce, brick and mortar stores are increasingly taking on more functions to satisfy customer experience.Customer dwell time can directly reflect the brand attractiveness and customer experience satisfaction. If it is combined with the product reach analysis and further refines the analysis granularity, it can also determine whether new products attract customers and whether the certain products should maintain promoted along with some other important indicators. Combined with the employee training, it can also quantitatively improve service quality and customer experience satisfaction. 

**Core Contents of GDPR:**

Enterprises should take measures to ensure data security;

Data subjects are granted rights such as adding, deleting, modification, and querying;

Obligations and responsibilities of data processors;

Transparency, security, and notification of data breaches;

In case of violations, data controllers must report to regulatory authorities within 72 hours;

Both data controllers and processors need to keep records of data processing.

**VionVision's Practice in GDPR:**

As a company focusing on computer vision & AI algorithm technology and AIoT hardware development, VionVision also prioritizes user data security and privacy protection, strictly complying with GDPR compliance requirements. While empowering digital business innovations in smart business and smart retail, it prioritizes compliance, user data privacy protection, and consumer rights, adhering to these principles and implementing them in specific products.

In May 2023, VionVision's four-in-one digital people counting devices and smart analysis terminal series of products began undergoing GDPR compliance testing and assessment, obtaining certification in August.

It is essential to note that, regarding customer data collection principles, VionVision's AIoT people counting devices are differing from traditional hardwares in three major aspects:

Pre-processing and Embedded of AI Computing Power: take G5 as an example, ithas built-in AI chips and algorithms, completing non-biological information recognition, such as clothing and attire, internally without the need for image upload for cloud-based analysis; Anonymization and ReIDProcessing: Information collection is anonymized, and end intelligent-computing is used without collecting images capturing or generating from computer vision; No Information Storage: the remote systemdoes not store any captured image data, while asautomatically deleting the extracted anonymous information immediately to ensure the privacy and security of all kinds of end-users.

1. Pre-processing and Embedded of AI Computing Power: take G5 as an example, ithas built-in AI chips and algorithms, completing non-biological information recognition, such as clothing and attire, internally without the need for image upload for cloud-based analysis;

2. Anonymization and ReIDProcessing: Information collection is anonymized, and end intelligent-computing is used without collecting images capturing or generating from computer vision;

3. No Information Storage: the remote systemdoes not store any captured image data, while asautomatically deleting the extracted anonymous information immediately to ensure the privacy and security of all kinds of end-users.

**Significance of GDPR Compliance and Practices of VionVision's Products:**

VionVision's approval through GDPR for AI visual recognition, smart city, smart commerce, and digital retail industries in a global manner has set a new paradigm. This fully confirms that VionVision has reached the first-class standard internationally in information data security and user privacy protection. It can provide various kinds of partners with safer and more reliable services and solutions, significantly reducing the risks of user data security and privacy protection and allowing the release of value in more scenarios for digitalization and intelligence.

**About VionVision**

Committed to developing the world-leading computer vision algorithms, products, and traffic counting solutions since 2005. Our products and solutions have been applied worldwide in the sectors of retail stores, shopping malls, public areas, etc. VionVision patented technology is specialized in Shopping Center Leasing and Performance Improvement, Supermarket Checkout Lane Queue Length and Dwell Time Analysis, Public Space Traffic Analysis in Challenging Scenarios, Public Park traffic analysis with Staff Exclusion, etc.

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Still Struggling With The Repurchase Rate And Satisfaction? One-Stop Smart Retail Solution Will Help You Out!

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BLOG POSTS

Building Smart Spaces

Still Struggling with the Repurchase Rate and Satisfaction? One-stop Smart Retail Solution Will Help You Out!

Affected by the macroeconomic deflation after the epidemic, the physical retail industry continues to face challenges. Coupled with the strong presence of e-commerce channels, offline retail (esp. for those chain stores and franchise conglomerate) are confronted with severe issues such as reduced in-store footfall and decreased conversion rates.

Public information has shown that in 2022, the year-on-year growth rate of offline retail in Europe was only 1.09%, and the United States witnessed a wave of closures of the physical stores. In the first quarter of 2023, the sales of supermarkets and specialty stores in Chinese retail industry above a certain limit increased by only 1.4%, much lower than economists’ expectations. Passers-by footfall is a crucial indicators for store operations, and the in-store conversion rate is essential for both acquiring new customers and encouraging repeat business, putting pressure on end-sales performance. In the context of a significant global slowdown in growth and substantial profit contraction, accelerating the digital transformation of physical retail stores has become inevitable to enhance operational capabilities.

The challenges faced by the digital transformation of physical retail stores are continuous and systematic. From footfall volume to repurchase rate, all key elements throughout the entire conversion funnel must be interconnected and aligned for retail store digitization to achieve maximum efficiency, thereby assisting businesses in decision-making analysis, precise marketing, and refining in-store user data to improve store sales.

So,how do we first assess and optimize in-store conversion rates?

According to incomplete statistics, 76% of store operators focus on the complete conversion of the "sales funnel," 41% of store operators monitor and analyze the footfall data at the entrance, and 48% of store operators deploy intelligent people counting devices for fine-grained in-store conversion rate assessment at the gate position.

Among these, the sales funnel is a commonly used tool model for sales management in physical retail stores.

By optimizing the store brand image and improving visual recognition in the pedestrianarea for passers-by, the in-store conversion rate can be effectively increased, thereby driving sales;

Utilizing business intelligence (BI) big data, multidimensional insight into footfallscenarios, and conducting demographics analysis and retrospective attributions. When core indicators drop significantly, improvement can be initiated from aspects such as brand marketing and reputation;

Using digital and one-stop intelligentfootfall analysis hardwares to monitor daily volume and changes, analyze customer in-store behavior and preferences, and keep improve the store decoration and brand image, aligning with certain product display in a targeted manner are necessary means to optimize the in-store conversion rate.

Vionvision Intelligent One-stop Comprehensive Solution

VionVision, as a leading comprehensive store digitization solution provider, integrates AloT hardwares and SaaS Open  Cloud services. Using globally-leading computer vision analysis technology and self-developed & patented algorithms, VionVision deeply analyzes customers’ shopping processes while ensuring individual privacy, significantly optimizing operators' marketing strategies. The BI platform, based on the sales conversion funnel, can assess abnormal factors affecting each level of the funnel, providing direction for store operation optimization. Simultaneously, through functions such as AI store patrols and intelligent supervision, VionVision continuously drives positive store operations.

As a long-term AI+IoT service provider empowering and accelerating the digitalization progress of stores, VionVision’s store-level footfall solution has achieved remarkable results in optimizing in-store conversion rates. Over the past few years, this solution has assisted leading brand chain stores such as Huawei, OPPO, Xiaomi, Carrefour, Aimer, Bugis, Chanel, Starter, Deji Plaza, and others in embarking on a new chapter of digital business transformation, achieving scientific predictions, optimizing business strategies, and boosting sales.

Advantages and Values of Digitalizing Stores

The digitalization of stores is the key to gaining advantages in the fiercely competitive market of the physical retail industry, as evidenced by:

1---Data-Driven Reconstructing business processes by analyzing customer behavior, sales, and other data to reduce costs and increase efficiency.

2---Intelligent Operation Using automation, intelligent identification, and recommendation methods to enhance operational efficiency and service quality.

3---Targeted Marketing Improving customer satisfaction by providing customized products and services.

Application Prospects of OODA and PDCA Methodologies in Digital Stores

The OODA and PDCA theories for system operation are indispensable steps in digital operation and analysis. The OODA loop focuses on obtaining data on the high and low changes in various layers of the sales funnel, issuing sales conversion warnings for stores, and attributing analysis of store operation strategies. Corresponding rectifications can be made to quickly drive the next cycle of customer flow data and improve sales transaction conversions.

The PDCA cycle focuses on continuously and stably optimizing store operational processes. Through the formulation, testing, verification, adjustment, and promotion of phased operational plans, the best "sweet spot" for store operations can be found.

Igniting sales opportunities, improving funnel efficiency, and comprehensively using both OODA and PDCA loops will be more effective. Through the use of these two loops, we can efficiently, accurately, and continuously achieve business goals, providing comprehensive support for empowering physical retail in the era of digital operation and management.

VionVision's store digitization solution can provide end-to-end data support based on OODA/PDCA methodologies, facilitating better application. VionVision has always focused on core AI technology innovation from perception to collaboration and decision-making, leading the innovation and implementation of AI applications in the digital retail industry. As a leading comprehensive store digitization solution provider, it is also committed to advocating, leading, and ultimately achieving the digitization transformation of the retail industry.

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Staff Exclusion Problem Solved! Vionvision New Generation TrueFlow Customer Traffic Analysis System Launched!

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BLOG POSTS

Building Smart Spaces

Staff Exclusion Problem Solved! Vionvision new generation TrueFlow customer traffic analysis system launched!

Vionvision officially released a new generation of customer traffic analysis system based on TrueFlow technology integrating the AI technology and years of service experience in the commercial retail industry, obtained the patent of Unsupervised Staff exclusion Method (Patent No. ZL202011227756.1) and other three patents in China. The demand for digital transformation in stores is increasing, especially the customer traffic data has become the basic data to optimize store operations. Vionvision TrueFlow system uses the ReID algorithm at a vertical angle, which not only avoids the collection of face information, but also recognizes store staff precisely.

Normally speaking, staff will be counted in the customer traffic system. How to get real and reliable customer traffic is then a critical issue. Vionvision new generation of customer traffic analysis systems for stores has exceeded expectations in the real scene and has been well received by our clients. The system solves the pain points in the application of customer flow statistics in commercial real estate and retail chains business. The system will provide a strong guarantee for business recovery and digital transformation.

Powerful Functions

Automatically distinguish between staff and customers and get real and effective customer flow statistic

Provide a wide field of view and analyze incoming and outgoing customers, passersby, entry rate, etc

Improve customer service quality and customer satisfaction by recording the time of each customer entering & leaving the store and counting the dwell time of customers in the store

Excellent Indicators

Customer flow statistics with an accuracy of over 99%

Effectively eliminate interference factors such as light, shadows, shopping carts, etc

Automatic staff exclusion function with the accuracy of over 95%

Powerful Functions

Automatically distinguish between staff and customers and get real and effective customer flow statistic

Provide a wide field of view and analyze incoming and outgoing customers, passersby, entry rate, etc

Improve customer service quality and customer satisfaction by recording the time of each customer entering & leaving the store and counting the dwell time of customers in the store

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Is It True That The Longer You Stay In The Store, The Higher Possibility You Would Consume? Viovision TrueFlow Technology Gives You The Answer!

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BLOG POSTS

Building Smart Spaces

Is it true that the longer you stay in the store, the higher possibility you would consume? Viovision TrueFlow Technology gives you the answer!

For brick and mortar stores, it is no doubt that traffic flow is one of the most important indicators for the store revenue. However, customer dwell time and conversion rate are also of great business value. In old traffic flow system, it can calculate average dwell time of all customers. The principle is to integrate the number of customers stranded in the store (obtained by calculating the number of people entering the store minus the number of people leaving the store) for time integration, and then divide it by the total number of customers entering the store. A disadvantage of this method is that it is impossible to analyze the statistical distribution of the length of stay of each customer/group. Moreover, the number of customers staying in the store is greatly affected by the cumulative errors in the statistics of the traffic flow of the store, which often leads to inaccurate calculation of the average length of stay in the store. In order to obtain specific customer stay time data, it is necessary to identify each customer's entry and leaving time.  The latest customer traffic system based on TrueFlow technology launched by Vionvision adopts advanced ReID technology, which can analyze non-biological characteristics such as clothing, appearance based on vertical viewing angle images, and accurately match customer entry and exit records, thereby calculating the dwell time of each customer.

Dwell time distribution is a very important intermediate parameter between in-store customer flow and purchase conversion, which can be applied in many aspects.

Correlation analysis between dwell time and conversion rate

Paco Underhill, the founder of retail anthropology, has concluded through extensive research that the time customers spend in the store (shopping time only, excluding time waiting in line) is also an important factor affecting shopping volume and the relationship differs in different segments of the retail industry. For example, in an electronics store, the average time spent by customers who did not buy goods in the store was 5 minutes and 6 seconds, while that of customers who bought goods stayed in the store was 9 minutes and 29 seconds; in a toy store, the average time spent by customers who did not buy toys is 10 minutes while customers who bought toys stayed 17 minutes on average. So the longer a customer stays, the more likely they are to buy. Chain stores can statistically analyze their own actual data, discover the relationship between the length of stay in the store and purchase conversion, and assist in formulating business strategies. 

Analysis of dwell time and customer satisfaction

Compared with online e-commerce, brick and mortar stores are increasingly taking on more functions to satisfy customer experience.Customer dwell time can directly reflect the brand attractiveness and customer experience satisfaction. If it is combined with the product reach analysis and further refines the analysis granularity, it can also determine whether new products attract customers and whether the certain products should maintain promoted along with some other important indicators. Combined with the employee training, it can also quantitatively improve service quality and customer experience satisfaction. 

Eliminate passing through customers

Dwell time distribution function can remove the invalid passenger flow which is the customers that only pass through the hall. A typical example is that the store of a well-known mobile phone brand is located next to the movie theater on the 5th floor, and more than 80% of the customers uses the store as a path to the movie theatre.The important characteristic of these customers is that they stay in the store for less than 15 seconds and enter and exit through two different doors. With Vionvision TrueFlow technology, the flow of passing through customer can be easily removed, and combined with staff exclusion algorithm, real customer flow can be obtained.

The dwell time distribution function based on TrueFlow technology will be further applied and developed in the segmented retail industry in the future, and will provide strong data support for the efficient operation of brick and mortar stores as well as customer satisfaction improvement.  Vionvision is always on the way of building the future of smart space, and there are more innovative functions to be continued. Please stay tuned!

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