Hoomi Chadirchi
VP of Engineering
ST
SeeChange Technologies
–/10Traction
seechange.tech
Website unreachable since Oct 21, 2026
The startup utilizes vision AI technology to provide real-time recognition and analytics for retail environments, enhancing inventory management and customer engagement. By delivering actionable insights, it helps retailers optimize operations and improve the shopping experience.
- Artificial Intelligence
- Data & Analytics
- Retail Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$10MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Retailers often struggle with inefficient inventory management, leading to stockouts, overstocking, and reduced profitability. Understanding customer behavior and preferences in real-time is also challenging, hindering efforts to personalize the shopping experience and optimize store layouts.
Solution
This startup offers a vision AI platform that provides real-time object recognition and analytics for retail environments. The system analyzes video feeds from existing store cameras to automatically track inventory levels, monitor product placement, and identify customer interactions with merchandise. By processing this visual data, the platform generates actionable insights on shopper behavior, popular product locations, and potential out-of-stock situations. Retailers can use these insights to optimize inventory replenishment, improve store layouts, and personalize marketing efforts, ultimately enhancing the customer experience and increasing sales.
Target Audience
The primary target audience includes retail store managers, operations directors, and marketing teams seeking to improve inventory management, optimize store layouts, and enhance customer engagement.
Features
- Real-time object recognition for automated inventory tracking
- Customer behavior analytics based on in-store video feeds
- Heatmap visualizations of shopper traffic patterns
- Automated alerts for low stock levels and misplaced products
- Integration with existing security camera systems