The startup offers a self-service data analytics platform that enables retailers to create and manage planograms embedded with product details, pricing, and promotions. This technology enhances in-store operations by improving employee productivity and facilitating data collaboration across the organization.
Funding
$2M 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.
LCNIPVFounders
Product
Problem
Retailers and Consumer Packaged Goods (CPG) companies face challenges in maintaining optimal on-shelf availability, planogram compliance, and accurate product data across numerous stores. Traditional methods of data collection are often time-consuming, costly, and prone to human error, leading to inefficiencies in supply chain management and lost sales opportunities.
Solution
Arpalus offers a computer vision and augmented reality-powered platform that enables real-time data collection and analysis of physical shelves using a smartphone app. The platform provides immediate product recognition and actionable insights, allowing retailers and CPGs to optimize in-store operations, reduce out-of-stock situations, and improve product placement. By leveraging edge computing, Arpalus processes data locally on mobile devices, minimizing latency and enabling operation in areas with limited connectivity. The collected data is then aggregated and presented through an online dashboard, providing comprehensive analytics and reporting at the store, category, and SKU level.
Target Audience
The primary target audience includes retailers seeking to optimize in-store operations and CPG companies aiming to improve product availability, planogram compliance, and brand visibility at the point of sale.
Features
- Mobile app for iOS and Android devices utilizing computer vision and augmented reality for real-time shelf analysis
- Edge computing architecture for on-device data processing and reduced latency
- Offline functionality, enabling data collection without an active internet connection
- Rapid SKU onboarding through automated image tagging and machine learning
- Real-time dashboards providing insights on on-shelf availability, planogram compliance, and out-of-stock situations
- Integration with ERP and inventory management systems for automated order suggestions
- Customizable reports and alerts for store managers, category managers, and executives