The startup offers a digital marketing activation platform that utilizes artificial intelligence and media file automation to enhance visual storytelling with photos and videos. By streamlining the management and distribution of digital content, the platform helps clients increase lead generation and improve brand promotion efficiency.
Funding
$700K 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
Retailers often lack comprehensive, real-time data on customer behavior within physical stores, making it difficult to optimize marketing campaigns, store layouts, and staffing levels. Traditional methods of data collection are often manual, inaccurate, and fail to provide actionable insights into the customer journey. This lack of data-driven decision-making leads to inefficiencies and missed opportunities for revenue growth.
Solution
Piximate provides an in-store analytics platform that uses computer vision and artificial intelligence to capture and analyze customer behavior in real-time. The platform processes data from existing surveillance cameras, videos, and images, eliminating the need for additional hardware in some cases. Piximate's algorithms extract relevant data, such as customer demographics, traffic flow, shelf engagement, and emotion detection, and presents it in a personalized dashboard. This enables retailers to understand customer habits, identify levers for improvement, and optimize marketing campaigns, store layouts, and staffing for enhanced customer experience and increased revenue.
Target Audience
Piximate targets retailers, store managers, and omnichannel managers seeking to optimize in-store customer experience, marketing campaigns, and operational efficiency through real-time data analytics.
Features
- Real-time data capture from existing surveillance cameras, videos, and images
- Customer qualification based on statistical information and behavior patterns
- Personalized analytics dashboard with reports on concrete actions
- Identification of leverages to improve customer experience and remove friction points
- Analysis of marketing campaign impact on in-store visits
- Optimization of shop shelving and staffing based on customer behavior
- Emotion detection for customer satisfaction reporting
- GDPR compliance and adherence to ethical data collection practices