16-18 March 2027Crocus Expo, Pavilion 3
Can last-mile delivery become faster, more reliable and less exposed to labour pressure without adding cost at every stop? In 2026, that question is moving from technology debate to operational planning.
Can last-mile delivery become faster, more reliable and less exposed to labour pressure without adding cost at every stop? In 2026, that question is moving from technology debate to operational planning. Autonomous last-mile delivery innovations are being assessed against practical measures: cost per delivery, failed delivery rates, route density, service windows and asset use.
For logistics operators across Russia, the CIS and Eurasia, the subject is no longer distant. Autonomous delivery vehicles and drones are becoming part of a wider conversation about last-mile delivery technology, fulfilment speed and network resilience.
Last-mile delivery remains one of the most expensive parts of the supply chain because it has low drop density, variable address quality, traffic exposure and high labour input. A single missed delivery can affect route productivity, customer service workload and vehicle availability for the next shift.
A market observation from the Capgemini Research Institute found that last-mile delivery accounts for 41% of total supply chain costs, more than double warehousing and parceling. That cost profile explains why operators are testing automation with caution. The commercial case depends less on novelty and more on repeatable savings across routes, depots and delivery windows.
Autonomous delivery vehicles (ADVs) are gaining attention in controlled and semi-controlled environments. Their strongest use cases are short-radius routes, campus-style logistics, gated communities, business parks, and planned urban districts. These environments reduce unpredictable road behaviour and make routing easier to manage.
The value of ADVs is strongest when they connect with existing warehouse and fulfilment systems. Orders must be sorted by payload size, delivery zone, access requirements, and service window before dispatch. Fleet teams also need charging points, loading protocols, remote monitoring, and exception handling. In practice, autonomous delivery vehicles work best as part of a mixed fleet, taking predictable short-radius drops while human drivers manage complex addresses, bulky deliveries, and customer-facing exceptions.
Drone delivery logistics is proving most useful where speed, distance, or access changes the economics. Time-critical medical supplies, high-value spare parts, remote settlements, and low-density routes offer stronger business cases than dense city-centre parcel delivery. In those use cases, drones can bypass road delays, shorten response times, and reduce the cost of serving hard-to-reach points.
Operational limits remain clear. Payload weight, battery range, weather sensitivity, landing access, airspace permissions, and noise restrictions all affect deployment. Logistics operators are responding by using drones for specific lanes rather than broad network coverage. This makes the technology easier to test, budget, and integrate with dispatch systems.
Adoption requires more than buying vehicles or aircraft. Operators need a clear baseline for current last-mile performance. Without that baseline, automation cannot be judged fairly. The most useful metrics include cost per stop, delivery success rate, distance per successful delivery, vehicle fill rate, route time variance, and labour hours per parcel.
Decision-makers should also assess data readiness. Autonomous systems depend on clean order data, accurate address information, live inventory visibility, and reliable transport management systems. Weak data raises intervention rates and reduces return on investment. For many operators, the first step is improving dispatch discipline and fulfilment accuracy before scaling autonomous last-mile fulfilment solutions.
Russia, the CIS and wider Eurasian markets have varied operating conditions. Large metropolitan areas may support urban logistics automation pilots, while regional and cross-border networks face longer distances, mixed infrastructure quality and different regulatory pathways. This creates a staged adoption curve rather than a single market-wide shift.
The strongest near-term opportunities are likely to come from defined routes, private logistics zones, industrial parks, retail fulfilment hubs and peri-urban delivery corridors. These settings give operators more control over route design, loading processes and safety procedures. Over time, operational evidence from these environments can support wider deployment across more complex networks.
The future of last-mile delivery is unlikely to be fully autonomous or fully manual. A more realistic model combines vans, couriers, pickup points, lockers, autonomous delivery vehicles, ground robots and drones based on route economics. Used selectively, ground robots and drones can reduce pressure on congested urban routes by shifting small, predictable or time-sensitive deliveries away from conventional van movements.
The strongest results will come from matching each delivery mode to margin, urgency, payload and service promise.
Autonomous last-mile delivery is becoming a serious procurement topic for logistics operators, fulfilment providers, retailers, technology vendors and warehouse automation teams. The organisations gaining ground are those comparing solutions against route economics, infrastructure readiness and measurable service outcomes rather than vendor claims alone.
TransRussia & SkladTech, taking place on 17–19 March 2026 at Crocus Expo, Pavilion 3, brings together logistics, transport, warehousing and supply chain professionals from across Eurasia. Companies offering last-mile delivery technology, autonomous delivery vehicles, drone delivery logistics or connected fulfilment systems can submit an exhibit enquiry to meet buyers evaluating practical solutions.
Exhibitors can also connect this opportunity to wider logistics sectors, including warehousing, fulfilment, supply chain technology and transport operations across the logistics and supply chain expo.
