Strengths

• AGGREGATION OF COMPLEX DATA:  Our analysis platform is not limited to the data collected by the Visionarea People Counting system; it can be integrated with multiple external sources (turnover data, receipts, staff turnover, ongoing campaigns, etc.) for a comprehensive view of your business and a thorough understanding of Big Data.

• REAL-TIME ANALYSIS AND HISTORICAL ANALYSIS: All data, even the most complex, can be visualised in both historical and real-time mode. This enables the retail manager to react immediately to changes in the scenario and initiate tactical and strategic actions even on the go.

• FLEXIBILITY AND PERSONALISATION: Interactive and customizable reports and dashboards are user-friendly, enabling all users, even those with less experience, to visualize data that is useful for improving decision-making in operational and strategic areas. All reports are conveniently downloadable in a local CSV format. Our dedicated research team provides comprehensive support and training to ensure optimal platform usage and is available for the development of customized reports and KPIs.

• FULL GDPR COMPLIANT: all detection and analysis operations are carried out anonymously and GDPR compliant: in fact, the system detects the presence of visitors, but no identification and no video images are recorded and/or stored by the system itself.

• SaaS MODE: Access to the MonitorEyes | CMS platform is offered through the Internet in SaaS mode. The user can access the platform with their credentials via a PC, tablet, or smartphone with an internet connection.

Analyses Details

Performance indicator analysis

Monitoring performance indices at the single point of sale and across the entire chain enables objective evaluation of results and establishment of future objectives with consideration for weighted factors. Dashboards and interactive reports break down the sales mechanism into its most relevant components: traffic, receipts, average receipt, staff utilization. This supports management in all choices related to the development and management of a network of sales outlets. The exclusion of shop personnel from the people count ensures greater accuracy in the calculation of the conversion rate.

• Immediate and accurate analysis of conversion rates, margin and traffic of a shop and their correlation with other factors such as weather and drive-to-store campaigns.
• Determining potential turnover based on traffic data and customer purchasing behaviour
• Possibility to compare performance data between different outlets in single or aggregated mode

Marketing Impact Assessment

By understanding the impact of every communication action and event on visitor flow and store performance, you can objectively measure the "net" effect of marketing activities, distinguishing them from other factors that contribute to turnover (assortment, customer service, etc.). The timely analysis of the effectiveness of the different formats used — applicable to individual store micro-areas — provides direct and objective indications for the best allocation of the available budget at chain and shop level.

• Quantitative evaluation (ROI) of in-store advertising and promotional actions and of the different media used
• Evaluation of event traffic and drive-to-store activities
• Determination of passer-by, evaluation of shop window effectiveness (interest rate) and peel-off ratios (ratio of passers-by to shop visitors)

Purchase Paths and Heatmap

By covering the sales floor with a seamless array of sensors, it is possible to gather valuable information on customer behavior within the shop: from the moment they enter, to the moment they leave. The collected data is processed to generate heat maps that provide a clear view of where consumers are shopping. This information can be used to improve the layout and display of products, thus getting the most out of every square meter of exhibition space. All data is collected in compliance with privacy regulations, as it is not linked to any sensitive user information.

• Comprehensive analysis of customer flow, including the most frequently visited routes and average dwell times, with the identification of areas of low efficiency (such as checkouts) and high congestion.
• Granular identification of products of interest, thanks to Eye Tracking analysis
• Ability to quickly perform A/B tests (within the same shop or between different shops) to evaluate the effectiveness of different purchase path layouts or placement of displays and in-store promotions.
•  Identification of "returning visitors," defined as the percentage of individuals who make repeat visits to the same establishment, facilitated through wi-fi tracking

Customer Analysis and Segmentation

• Visitors to the shop or a specific area can be classified by gender and age group. The system also identifies purchasing groups (several individuals who are part of one shopping trip, such as family groups) and can automatically exclude shop personnel.
• This system enables a comprehensive and precise understanding of business operations by providing insights into customer behavior and demographics.
• It facilitates real-time modification of in-store communication messages based on visitor profiles, ensuring that the communication aligns with the target audience.
• Historical analysis is available to assess changes in customer base composition over time, identifying the impact of drive-to-store campaigns on customer behavior.

Management of personnel

To ensure optimal customer service at the point of sale, it is essential to have product knowledge, proficiency in sales techniques, active listening skills, and empathy. Additionally, maintaining an adequate staff size to promptly address customer requests (Service Index) is crucial. The presence of well-trained staff is crucial for increasing the number of buyers, especially in assisted and semi-assisted sales. Our reports provide valuable insights, helping to strategically plan staff distribution across shops within the chain. These reports draw on historical traffic and performance data to make informed decisions regarding staff allocation.

• Determination of peak hours and the optimal number of sales personnel per shop and across the entire chain
• Real-time automation of personnel distribution for the opening of new checkouts through queue analysis at the till
• Automated occupancy management for the entire shop or individual areas, with real-time alerts and display of occupancy, to free staff from manual traffic control tasks