Indivd offers a cloud-based people counting solution that utilizes advanced anonymization technology to provide accurate visitor insights for retail environments. This platform enables stores and malls to optimize operations and marketing strategies while significantly reducing costs by 59-95% compared to traditional people counting systems.
Funding
$695.4K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Retail stores and malls need accurate visitor insights to optimize operations, marketing strategies, and staffing levels. Traditional people counting systems are often expensive to install and maintain, requiring additional hardware and on-site infrastructure. These systems may also raise privacy concerns if they do not adequately anonymize visitor data.
Solution
Indivd offers a cloud-based people counting solution that provides accurate visitor insights while prioritizing data privacy. The platform leverages advanced anonymization technology to track visitor flow within retail environments without capturing personally identifiable information. By eliminating the need for additional hardware and on-site infrastructure, Indivd significantly reduces costs compared to traditional people counting systems. The solution provides retailers and mall operators with data-driven insights to optimize store design, staffing, marketing campaigns, and overall sales performance.
Target Audience
The primary target audience includes retail stores, retail chains, and shopping malls seeking to optimize operations, marketing, and staffing through accurate visitor insights while maintaining high standards of data privacy.
Features
- Cloud-based platform accessible from any device
- Advanced anonymization techniques to protect visitor privacy
- Real-time visitor counting and flow analysis
- Integration with existing retail systems and data platforms
- Customizable dashboards and reports for data visualization
- Comparison of results with others in commercial spaces or retail chains