CEO
RA
Rnv.ai
9/10Traction
RNV Analytics utilizes artificial intelligence and machine learning algorithms to optimize inventory allocation for retail companies, ensuring that products are positioned in the right stores at the right time. This approach reduces excess stock by up to 30% and increases sales by up to 300% through improved demand forecasting and efficient transfer planning.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Retail Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$1.1MRaised 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.
Inveo VenturesNo round attributed
- inveoventures.com (opens in a new tab)investor website
Funding rounds are not available yet.
Founders
Product
Problem
Retail companies often struggle with inefficient inventory allocation, leading to excess stock in some locations and stockouts in others. Traditional inventory management methods and rule-based systems fail to accurately predict demand, resulting in lost sales and increased carrying costs.
Solution
RNV Analytics offers an AI-powered inventory optimization platform that analyzes sales data and customer behavior to ensure products are available in the right stores at the right time. By leveraging machine learning algorithms, the platform accurately forecasts demand, optimizes transfer planning, and reduces excess inventory. The cloud-based software integrates with ERP, CRM, and web/mobile channels to provide real-time analysis and data-driven recommendations. This enables retailers to streamline their inventory processes, minimize stockouts, reduce excess stock, and increase overall sales.
Target Audience
The primary target audience includes retail companies seeking to optimize their inventory management processes, reduce costs, and increase sales through AI-driven insights.
Features
- Demand forecasting using AI and machine learning to predict customer behavior and purchasing trends
- Inventory optimization to position the right product in the correct location at the optimal time
- Reduction of excess stock by aligning supply with demand through analysis of customer behavior and historical data
- Streamlined transfer and replenishment plans based on AI-driven insights
- Real-time analysis of inventory movement and customer behavior
- Integration with ERP, CRM, and web/mobile channels for comprehensive data collection
- Customizable dashboards and reports for data-driven decision-making
- Support for multiple languages, including Turkish and English