Our AI-based Retail Vision Intelligence in Real-Time will drive Exponential Revenue Growth and enhance Customer Satisfaction
Maintaining shelf standards to win the shopper’s attention is traditionally a tedious task with limited data capture and limitless errors. Our proprietary Image Recognition and Analytics platform, CAInatics augments retail operations by digitizing, analyzing, and optimizing the retail space. Brands can now achieve the 'Picture of Success' by leveraging consumer insights and market trends to design and execute shelf standards effectively for optimized product placement and streamlined promotions. Our SaaS-based product can be easily integrated with existing mobile and camera devices, enabling real-time data capture and actionable insights for sales teams to capitalize on revenue opportunities and enhance overall retail operations efficiency.
Using the mobile app with built-in image capturing guiding tool, field auditors and sales representatives click images of various product shelves, planograms and displays in retail stores.
Images of various product display visibility elements are captured and synced with our backend AI engine where deep learning models process and analyze these images for compliances, stock gaps and availability on shelves.
With deep learning models the predictive accuracy is 95% and higher. The results are generated in a user-friendly format for the field teams to take immediate action at the retail stores. This entire process takes less than 2 minutes.
The analysis reports and dashboards (depicting Visibility Status, Compliance, SKU/Stock Gaps) are accessible by the management team in real-time for necessary intervention.
The CAInatics AI engine also forecasts the potential KPIs on shortfalls of product SKUs, planogram compliances and visibility norms for each retail store.
CAInatics is Product Category Agnostic. It can achieve exponential scale.
CAInatics.is one of the fastest and most advanced Image Recognition (IR) tools in the industry.
