Kardinal is a Last Mile Delivery Optimization platform that utilizes machine learning algorithms for real-time route optimization, delivery slot planning, and territory sectorization. The platform enhances operational efficiency for logistics providers by addressing challenges related to route planning and resource allocation in urban delivery environments.
Funding
$12.6M 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.
CIIPPAFounders
Product
Problem
Last-mile delivery providers face challenges in optimizing routes, planning delivery slots, and sectorizing territories, especially in complex urban environments, leading to inefficiencies and increased operational costs. Existing methods often fail to adapt to real-time conditions and leverage data effectively for continuous improvement.
Solution
Kardinal offers a last-mile delivery optimization platform that utilizes machine learning algorithms to address these challenges. The platform provides real-time route optimization, delivery slot planning, and territory sectorization, enabling logistics providers to enhance operational efficiency. Kardinal's solutions include Always-On Route Optimization (ARO), Territory Analytics & Optimization (TAO), Optimal & Dynamic Appointment (ODA), and Strategic Location for Out-of-Home delivery (SLO). By integrating an unlimited number of constraints, the algorithms model real-world scenarios and provide continuous optimization. The platform also bridges data gaps by integrating machine learning and innovative data optimization workflows to overcome the constraints associated with poor-quality data.
Target Audience
Kardinal's primary customers include postal services, parcel delivery companies, urban couriers, e-commerce businesses, retailers, bulk and waste transport services, and field service providers. The platform also caters to software editors in TMS, ERP, and FSM.
Features
- Real-time route optimization adapting to unforeseen events along the way
- Delivery slot planning for optimal and dynamic appointment scheduling
- Territory sectorization to partition territories between subcontractors
- Transport procurement optimization for subcontractor pricing
- Parcel picking and sorting assistance with real-time geocoding capabilities
- PUDO (Pick Up Drop Off) location optimization
- Fleet sizing and conversion tools to determine the optimal vehicle mix, including electric vehicles
- Centralized data lake for adjusting the scope of the network's delivery centers
- Ability to simulate depot relocation and sub-depot creation
- Tools for manual editing and comparison of sectorizations