R&D
Government-Backed Research
TÜBİTAK-TEYDEB Supported Projects
The following projects are carried out under the TÜBİTAK Technology and Innovation Support Programs (TEYDEB).
Project No
3255153 - 1707
Development of an AI-Powered Pre-Season Planning Software for Demand Forecasting and Inventory Optimization
An AI-powered planning solution for pre-season demand forecasting and inventory optimization.
Project No
7220609 - 1507
Development of Machine Learning-Based Decision Support Mechanisms for Pricing and Campaign Management Using Forecasting and Optimization Algorithms Specific to the Retail Sector
A machine learning-based decision support system developed for discount optimization in the retail sector.
Research & Development
Pushing the Boundaries of
Retail AI Innovation
At RNV.ai, our R&D team continuously explores cutting-edge AI and machine learning techniques to deliver smarter, faster, and more accurate retail planning solutions. Every algorithm we ship is backed by rigorous research and real-world validation.
Multi-Agent AI Systems
We design autonomous AI agents that collaborate to solve complex retail planning challenges — from demand sensing to allocation optimization.
Demand Forecasting
Our proprietary forecasting models leverage deep learning and ensemble methods to predict consumer demand with industry-leading accuracy.
Graph-Based Optimization
We use graph neural networks to model store-product-customer relationships, enabling smarter inventory distribution across complex retail networks.
Reinforcement Learning
Our RL-driven pricing and markdown agents learn from real-time market feedback to maximize revenue while minimizing overstock waste.
Our Technology
Built on World-Class AI Infrastructure
Deep Learning
Transformer architectures adapted for time-series retail data
Big Data Processing
Real-time processing of millions of SKU-store combinations
MLOps Pipeline
Automated model training, testing, and deployment at scale
A/B Experimentation
Rigorous experimentation framework for continuous model improvement
Generative AI
LLM-powered insights and natural language reporting for retail teams
Explainable AI
Transparent decision rationale so retail teams trust and act on recommendations
From Research to
Production-Grade AI
Our R&D pipeline ensures that every innovation goes through rigorous testing before reaching our customers. We validate models against real retail datasets, run extensive backtesting, and monitor performance continuously in production.