Review of eLogii, Supply Chain Software Vendor

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In today’s rapidly digitalized supply chain environment, eLogii offers a cloud‐based solution that transforms last‐mile delivery and field service operations by automating route optimization and providing real‐time tracking and dynamic dispatch capabilities. Founded in 2019 and headquartered in London, the platform delivers a robust SaaS offering that features a comprehensive web dashboard for planners alongside dedicated mobile apps for drivers. eLogii streamlines operations through configurable optimization engines that automatically compute the best travel routes using historical and current data, while also enabling continuous route re‐optimization when new tasks or unexpected changes occur. Designed for seamless integration via RESTful APIs and CSV data feeds, the solution enhances visibility into driver performance and task progress—all while relying on well‐established, deterministic rule‐based algorithms augmented by selective data‐driven enhancements.

Overview

eLogii is a cloud-first, unfunded SaaS platform launched in 2019 and headquartered in London that automates last-mile route optimization and delivery management. The solution features an intuitive web dashboard for planning and mobile applications for drivers, enabling real-time tracking, dynamic route re-optimization, and smooth integration with external systems. Its market presence is evidenced by profiles on Crunchbase ¹ and LinkedIn ².

What the Solution Delivers

eLogii’s platform is designed to improve operational efficiency by providing:

• Automated Route Planning and Optimization: The system automatically computes optimal routes for fleets handling multiple stops, balancing travel time with factors such as vehicle capacity, driver schedules, and time windows ³.
• Real-Time Tracking and Visibility: Integrated mobile apps deliver live updates on driver locations and task progress, ensuring that dispatchers have accurate ETA information as described in the Real-Time Visibility Blog ⁴ and the Last Mile Tracking Blog ⁵.
• Dynamic Dispatch and Re-Optimization: The platform continuously adapts to new tasks or unexpected changes by re-optimizing routes on the fly, keeping operations agile throughout the day.
• Comprehensive Analytics: Detailed historical and real-time data analyses on route performance, driver utilization, and overall task metrics empower users to refine their operations over time, as highlighted on the eLogii Features Page ⁶.

How the Solution Works

Optimization Engines

eLogii employs two main optimization engines to drive its route planning capabilities. The Base Engine leverages both historical and current route data to quickly minimize overall travel duration while adhering to configurable constraints—such as vehicle capacity, driver shift timings, and specific time windows ³. For users requiring a higher degree of customization, the Advanced Engine introduces granular load-balancing options and incorporates clustering techniques using variants of K-Means (non-deterministic, constrained, or deterministic) to group nearby tasks effectively ⁷. Additional optimization parameters—such as tolerance settings and execution time limits—further enhance flexibility ⁸.

Deployment and Integration

Delivered entirely as a cloud-based SaaS solution, eLogii combines a user-friendly web dashboard with mobile applications tailored for drivers. The platform’s design supports real-time task management, live analytics, and dynamic route adjustments, while its API-first architecture (supported by comprehensive REST API documentation ⁹) and CSV import capabilities ensure smooth interoperability with external systems like CRM and ERP. Detailed guidance for setup and integration is provided through the Getting Started Guide ¹⁰.

AI and Machine Learning Claims

Marketed as “AI-powered,” eLogii integrates aspects of machine learning primarily to refine estimated time of arrival (ETA) calculations and to adjust route performance metrics. However, the platform’s core optimization functionality is driven by deterministic, rule-based algorithms that rely on predefined constraints and historical data. This approach suggests that the “AI” component is best understood as an enhancement to mature operations research techniques rather than a fully autonomous, black-box decision engine.

Tech Stack and Job-Post Insights

Although eLogii has not publicly disclosed detailed technical specifications of its technology stack, career postings for Full Stack Developers and Test Automation Engineers point to the use of modern web and mobile development frameworks. This implies a robust and scalable infrastructure designed to support real-time data processing and dynamic re-optimization, even as the specific programming languages and frameworks remain undisclosed.

eLogii vs Lokad

While eLogii targets last-mile delivery and route optimization, Lokad’s platform is renowned for its holistic approach to quantitative supply chain optimization. Lokad leverages advanced probabilistic forecasting, deep learning, and a custom domain-specific language (Envision) to empower supply chain experts with programmable, end-to-end decision automation across inventory, pricing, and production planning ¹¹¹². In contrast, eLogii focuses on a narrower operational scope that centers on real-time route planning and dynamic dispatch for field service, employing primarily deterministic, rule-based algorithms with limited machine learning enhancements. This fundamental difference means that eLogii is engineered to address the day-to-day challenges of delivery and field operations, whereas Lokad delivers a broad suite of tools for strategic supply chain decision-making.

Conclusion

eLogii delivers a comprehensive, cloud-based platform that optimizes last-mile delivery and route management through highly configurable optimization engines, real-time tracking, and dynamic dispatch capabilities. Its emphasis on deterministic rule-based algorithms—with select enhancements from machine learning—is well-suited for organizations focused on efficient, agile delivery operations. Although the platform is branded as “AI-powered,” its core functionality draws on mature operations research techniques rather than fully autonomous AI. For companies seeking robust, integrated delivery management with seamless mobile and web solutions, eLogii represents a solid, specialized tool within the competitive supply chain software landscape.

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