Delicious AI offers a 3D Sales Intelligence Platform that utilizes patent-pending 3D technology and machine learning to analyze product facings and sales data at the display level, capturing over 8 million data points per scan. This platform identifies high-performing products and optimizes planograms, resulting in double-digit sales increases for managed displays compared to non-managed ones.
Funding
$2.2M 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.
Founders
Product
Problem
Retailers and consumer packaged goods (CPG) companies often lack granular visibility into product placement and sales performance at the individual display level. Traditional 2D image analysis provides incomplete data, failing to capture depth, product inventory behind facings, and real-time merchandising execution. This limited insight hinders effective planogram optimization and results in lost sales opportunities.
Solution
Delicious AI offers a 3D Sales Intelligence Platform that provides comprehensive, display-level analytics for retailers and CPG brands. The platform utilizes patent-pending 3D scanning technology and machine learning to capture over 8 million data points per scan, analyzing product facings, inventory levels, and sales data. By identifying high-performing products and optimizing planograms based on real-time sales intelligence, the platform enables retailers to increase sales, improve merchandising execution, and reduce out-of-stock situations. The AI-powered recommendation engine suggests optimal product mixes for each display, replacing slow-moving items with higher-selling alternatives from similar stores.
Target Audience
The primary target audience includes retailers and consumer packaged goods (CPG) companies seeking to optimize product placement, improve merchandising execution, and increase sales through data-driven insights.
Features
- 3D scanning technology captures detailed product and inventory data at the display level.
- Machine learning algorithms analyze product facings, inventory levels, and sales data to identify top performers.
- AI-powered recommendation engine suggests optimal planograms based on real-time sales intelligence.
- Real-time user scoring and coaching ensures displays are merchandised according to plan.
- Tracks product and unit changes between restocks.
- Identifies product winners and losers at the display level.
- Tracks display sales performance.
- Networked intelligence across multiple outlets for continuous learning and improvement.