VisionR

About VisionR

The startup manufactures an audience analysis system that utilizes artificial intelligence and machine learning to capture accurate demographic data in high-footfall areas. By integrating with third-party data sources, the system provides real-time customer insights that enable retailers to make data-driven decisions to enhance growth and increase average spending.

```xml <problem> Brick and mortar retailers often lack the detailed customer insights that online stores possess, making it difficult to optimize store layouts, staffing, and product placement for maximum revenue. Understanding shopper demographics, behavior, and product engagement in real-time is challenging with traditional methods. </problem> <solution> VisionR provides an in-store audience analysis system that uses smart cameras and AI to capture shopper demographics and behavior as they navigate physical stores. The system analyzes shopper traffic, profiles, and product engagement, and integrates with till data to provide a comprehensive view of in-store performance. Retailers gain real-time insights into shopper behavior, allowing them to optimize store operations, improve product placement, and personalize the shopping experience. The platform also offers benchmarking capabilities, enabling retailers to compare store performance against historical data and other stores in the area. </solution> <features> - Real-time shopper traffic measurement for accurate rostering and inventory management - Shopper profiling to understand demographics and identify high-value customers - Product engagement tracking to identify popular products and optimize placement - Till integration for a unified view of sales data and shopper behavior - Benchmarking to compare store performance against historical data and other stores - Opportunity spend analysis to identify underperforming areas and potential revenue gains - Suggested actions to optimize business performance based on real-time data - Unified commerce view linking online marketing activities to in-store shopper spend - Integration with ANPR and loyalty card data for enhanced customer insights </features> <target_audience> The primary target audience includes brick and mortar retailers seeking to improve in-store performance, optimize operations, and enhance the shopping experience through data-driven insights. </target_audience> ```

What does VisionR do?

The startup manufactures an audience analysis system that utilizes artificial intelligence and machine learning to capture accurate demographic data in high-footfall areas. By integrating with third-party data sources, the system provides real-time customer insights that enable retailers to make data-driven decisions to enhance growth and increase average spending.

Where is VisionR located?

VisionR is based in Dublin, Ireland.

When was VisionR founded?

VisionR was founded in 2018.

How much funding has VisionR raised?

VisionR has raised 5300000.

Location
Dublin, Ireland
Founded
2018
Funding
5300000
Employees
10 employees
Major Investors
Delta Partners

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VisionR

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Executive Summary

The startup manufactures an audience analysis system that utilizes artificial intelligence and machine learning to capture accurate demographic data in high-footfall areas. By integrating with third-party data sources, the system provides real-time customer insights that enable retailers to make data-driven decisions to enhance growth and increase average spending.

visionr.com1K+
cb
Crunchbase
Founded 2018Dublin, Ireland

Funding

$

Estimated Funding

$5M+

Major Investors

Delta Partners

Team (10+)

No team information available.

Company Description

Problem

Brick and mortar retailers often lack the detailed customer insights that online stores possess, making it difficult to optimize store layouts, staffing, and product placement for maximum revenue. Understanding shopper demographics, behavior, and product engagement in real-time is challenging with traditional methods.

Solution

VisionR provides an in-store audience analysis system that uses smart cameras and AI to capture shopper demographics and behavior as they navigate physical stores. The system analyzes shopper traffic, profiles, and product engagement, and integrates with till data to provide a comprehensive view of in-store performance. Retailers gain real-time insights into shopper behavior, allowing them to optimize store operations, improve product placement, and personalize the shopping experience. The platform also offers benchmarking capabilities, enabling retailers to compare store performance against historical data and other stores in the area.

Features

Real-time shopper traffic measurement for accurate rostering and inventory management

Shopper profiling to understand demographics and identify high-value customers

Product engagement tracking to identify popular products and optimize placement

Till integration for a unified view of sales data and shopper behavior

Benchmarking to compare store performance against historical data and other stores

Opportunity spend analysis to identify underperforming areas and potential revenue gains

Suggested actions to optimize business performance based on real-time data

Unified commerce view linking online marketing activities to in-store shopper spend

Integration with ANPR and loyalty card data for enhanced customer insights

Target Audience

The primary target audience includes brick and mortar retailers seeking to improve in-store performance, optimize operations, and enhance the shopping experience through data-driven insights.

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