Rising Tide offers a blockchain-enabled, streaming platform that utilizes AI and machine learning to optimize last-mile logistics by integrating real-time data for improved operational efficiency. This solution reduces contractor asset needs by up to 36% and increases profit margins by as much as 40% through intelligent automation and reduced overhead costs.
Funding
$650K 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.
FFounders
Product
Problem
Last-mile logistics providers face challenges in optimizing operations due to static routing and limited real-time data integration, leading to inefficiencies in asset utilization and reduced profit margins. Traditional route optimization tools often operate in silos, failing to adapt dynamically to changing conditions and new business opportunities.
Solution
Rising Tide offers an intelligent automation platform for last-mile logistics that leverages real-time data streaming and AI-powered algorithms to optimize operational efficiency. The platform dynamically adjusts routes and resource allocation based on real-time conditions, enabling logistics providers to reduce asset needs and increase profit margins. By eliminating data silos and providing a unified view of operations, Rising Tide facilitates intelligent decision-making and enables new business opportunities such as reverse logistics and same-day services. The system unites frontline operations with back-office management through intelligent automation.
Target Audience
The primary target audience includes last-mile logistics providers seeking to improve operational efficiency, reduce costs, and increase profit margins through intelligent automation.
Features
- Real-time data streaming for dynamic route optimization and resource allocation
- AI-powered algorithms for intelligent automation of logistics processes
- Automated re-sequencing of operations based on priorities
- Reduction of contractor asset needs by up to 36%
- Reduction in miles driven by deployed assets by 15%
- Managerial impact through reduced overhead and improved manager retention
- Margin increase through reduced fleet costs and exception management