The E-Commerce & Digital Marketing Association (ECDMA) is pleased to announce an upcoming online masterclass, “Optimizing E-commerce Logistics: From Gig-work Couriers to Professional Transporters”, featuring guest lecturer Igor Kiselev, an expert in supply chain and logistics management, business process optimization, digital transformation, and strategic operations. Scheduled for March 30, 2026, this class provides supply chain, logistics, program, and product managers with an invaluable opportunity to learn how to optimize middle- and last-mile logistics in e-commerce. It focuses on enabling both gig-economy couriers and professional carriers to operate more efficiently across the warehouse-to-end-customer stretch, enhancing company performance while maximizing couriers’ earning potential and improving both customer and courier experiences.
Igor Kiselev is a Program Manager at Amazon with a strong background in supply chain and logistics operations, analytics, and strategic operations. Over nearly two decades, he has led impactful initiatives across global organizations, delivering measurable outcomes – from multimillion-dollar cost savings to large-scale product launches.
Igor is a Senior Member of ECDMA and IEEE and has served as a reviewer for multiple scientific journals. Additionally, he has participated as an expert jury member at international business competitions, including ECDMA Global Awards 2024/2025. Igor is the author of several scholarly articles published in highly reputable scientific journals, focusing on optimizing supply chains and logistics through analytics, building sustainable global logistics networks, and applying business metrics to enhance program and product management.
Igor has created a proprietary last-mile logistics optimization methodology that has delivered transformational results across e-commerce operations, designed innovative tools used by hundreds of professionals across multiple countries, and mentored over 100 graduate students in analytics.
This masterclass provides a practice-oriented overview of middle- and last-mile optimization methods in e-commerce, with a focus on leveraging business analytics and process improvement strategies to reduce logistics costs, improve courier dispatch accuracy and speed, and enhance on-road transporter performance. Participants will learn how to apply these methods and develop robust metric frameworks for supply chain and logistics across multiple dimensions, including cost, delivery quality, and courier and customer experience.
Key discussion topics include:
What Influences Route Complexity
Learn how various factors increase the difficulty of last-mile routes to understand how to mitigate potential issues.
How to Analyze Route Complexity
Understand how to apply the proprietary weighted scoring model to assess routes objectively using defined complexity factors.
Mitigation Strategies for Key Factors
Explore different approaches to mitigating critical factors, including an analysis of their respective advantages and limitations.
Metrics Frameworks for Logistics Efficiency
Discover how to leverage metrics frameworks to detect operational issues, identify inefficiencies, and enhance last-mile logistics performance.
Comprehensive Performance Evaluation System for Logistics Departments
Develop an understanding of a proprietary performance evaluation system used to assess logistics teams and pinpoint areas for improvement.
Integrating Middle- and Last-Mile Optimization into a Unified Framework
Gain insight into a comprehensive framework that combines last-mile optimization strategies with performance evaluation systems to drive end-to-end improvements in a company’s logistics operations.
Q&A Session
Join an open discussion showcasing real-world case studies, practical questions, and expert insights from the speaker.
Event Details
Date: March 30, 2026
Time: 17:30 (UTC-5)
Location: Online (access details will be provided to registered participants)
Join us on March 30, 2026, and elevate your supply chain and logistics operations strategy with expert-led insights into middle- and last-mile optimization frameworks.
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