交付的未来：塑造2026年的主要趋势

Market evolution Intro Evolution of retail and customer demand ...................................... 51 Executive summary ........................................................................ 3 2026 Delivery trends ............................................................ 5 Conclusion ............................................................................ 56 Core infrastructure References ............................................................................ 58 AI & autonomous decision-making ................................................ 9Predictive analytics, control towers & end-to-end digital twins .... 13 Customer-facing Delivery choice & customer-centric fulfilment.............................. 24Last-mile innovation & urban logistics ........................................... 28 Supply chain resilience & targeted nearshoring ............................ 32Electrification & green fleet transition ............................................ 36 Operational excellence Warehouse robotics & operational twins ........................................ 41Regulatory backbone & data ........................................................... 46 Executive summary By 2026, logistics across Europe is no longer treated as “back-end plumbing.” It has emerged as adecisive battleground, shaping who wins in e-commerce, retail, and B2B distribution. Across the region, five forces converge: 1.Customers expect choice, reliability, transparency, and greener options at checkout, and punishbrands that fail to deliver.2.Regulatory backbone & data. EU climate, transport, tariffs and digital regulations hard-wire low-carbon, data-rich operations into logistics. This report outlines ten interconnected trends shaping that landscape for 2026 and beyond, witha European lens. Together, they describe a future of delivery that is multi-carrier and option rich,where shoppers expect tailored delivery and returns, while networks flex across many services. The logistics system becomes data native, since AI, controltowers, digital twins, and emissions reporting all rely on clean,standardized, API-accessible data and consistent event streams Resilience and decarbonization move into network design, withdiversification, nearshoring, and zero-emission fleets treated as Bottom line This is not a distant forecast. Most of the shiftsin this report are already visible in Europeannetworks today. 2026 is when they start toshape who wins tenders, who wins shoppers, Platformization sits at the intersection of these forces, providingthe connective tissue that allows European merchants, carriers, Delivery is no longeran afterthought In 2026, delivery is the place where a brand keeps its word and where logistics costs become real.Or In 2026, delivery is the brand’s proving ground and the sharp end of logistics costs. The ten trends below map how that moment is changing across Europe, from the systems under 1.AI & autonomous decision-making:GenAI, machine learning, and AI agents continue transform demand 2.Predictive analytics, control towers & end-to-end digital twins:Unified visibility platforms and digital replicas enable proactive decision-making. 3.Platformization & API ecosystems:Modular, API-first architectures replace monolithic systems, enabling Customer-facing: 4.Delivery choice & customer-centric fulfilment:Shoppers demand control over speed, location, cost, and sustainabilityat checkout. 5.Last-mile innovation & urban logistics:Urban consolidation centres and microhubs, OOH networks, cargo bikes and 6. risk mitigation. 7.Electrification & green fleet transition:Zero-emission zones, subsidy programs, and infrastructure gaps continue to Operational excellence: 8.Warehouse robotics & operational twins:AMRs, AS/RS, and virtual warehouses are boosting throughput and productivity in 9.Regulatory backbone & data:EU regulations, including HDV CO₂ standards, ETS2, eFTI, and expanding LEZ/ Market evolution: 10. continue to reshape how people discover, buy, pay, and expect to receivetheir orders. What this means for 2026 AI and automation in logistics will focus onsteady, compound gainsacross planning, execution, and service. The constraint is no longer theavailability of models. The real work sits in cleaning and harmonizing data AI & autonomousdecision-making Many organizations will still sit in “pilot purgatory”, where proofs of conceptdon’t touch day-to-day decisions. Progress comes when AI programsare treated aschange initiatives with clear ownership and realistic ROI Overview AI applications in logistics are increasingly being implemented in specific areas where they providemeasurable improvements, although fully autonomous operations remain uncommon. Accenture’s research1into autonomous supply chains finds that early initiatives have achieved,on average,27% shorter order lead timesand25% higher labor productivity, alongside Customer-facing automation is one of the more mature ar