Bestore.ai offers an AI-powered computer vision platform that automates in-store shelf data analysis for retailers and CPG companies. It provides precise insights into on-shelf availability, pricing, and planogram compliance, enabling data-driven execution improvements and sales optimization.
Funding
Funding not disclosed
Founders
Product
Problem
Retailers face challenges in accurately monitoring in-store product availability, pricing, and shelf placement, leading to missed sales opportunities and suboptimal return on investment. Manual data collection is time-consuming, prone to human error, and lacks the granularity required for effective retail execution strategies.
Solution
Bestore.ai provides an AI-powered computer vision platform that automates the analysis of in-store shelf data. The system leverages deep learning models to detect, classify, and segment products from store images, delivering precise insights into on-shelf availability (OSA), competitive pricing, facing, share of shelf (SOS), and planogram compliance. This automated data capture and analysis enable retailers to quickly identify and rectify execution gaps, optimize product placement, and implement data-driven pricing strategies to enhance sales performance and ROI.
Target Audience
The primary customers are retail businesses and consumer packaged goods (CPG) companies seeking to improve their in-store execution and sales performance through automated data analysis and AI-driven insights.
Features
- AI-driven computer vision for automated product detection, classification, and segmentation on retail shelves.
- Analysis of key retail execution KPIs including On-Shelf Availability (OSA), competitive pricing, facing, Share of Shelf (SOS), and planogram compliance.
- High-precision data capture with over 96% accuracy, validated by human quality control.
- Rapid setup and deployment, with models trained and operational in under 7 days.
- Support for diverse retail channels, including modern trade, traditional trade, convenience stores, and pharmacies.
- Scalable infrastructure capable of processing hundreds of thousands of images daily.
- Granular, actionable data insights delivered through a user-friendly platform.