Klyft provides a cloud platform that automates route planning, inventory management, and demand forecasting using combinatorial optimization and machine‑learning models. The system integrates real‑time data from ERP and WMS sources, delivering actionable recommendations and KPI dashboards that help logistics and supply‑chain teams reduce manual effort and operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations lack accessible, automated tools for optimizing complex logistics and supply chain operations, leading to inefficiencies, higher costs, and limited scalability.
Solution
Klyft offers a cloud-based platform that leverages advanced algorithms and real-time data integration to automate route planning, inventory management, and demand forecasting. The system ingests data from various sources, applies optimization models, and provides actionable recommendations through an intuitive dashboard. Users can monitor performance metrics, adjust parameters, and execute optimized plans directly from the platform, reducing manual effort and improving operational efficiency.
Target Audience
Primary customers are logistics managers, supply chain analysts, and operations teams in mid-to-large enterprises seeking to streamline transportation and inventory processes.
Features
- Automated route optimization using combinatorial algorithms
- Real-time inventory tracking with integration to ERP and WMS systems
- Demand forecasting powered by machine learning models
- Interactive dashboard for scenario analysis and KPI monitoring
- API access for seamless embedding into existing workflows