The average distances traveled per ton of cargo increased from 4675 miles in 2000 to 5186 miles in 2024. Longer and less predictable transport lanes raise working-capital exposure and service-level risk. This strengthens the case for logistics-as-a-service models that optimize network design, improve ETA accuracy, and reduce buffer stock without sacrificing availability.

Further, 73% of global shoppers won’t buy from an online retailer if they don’t trust the delivery provider, and 78% of European shoppers won’t buy if they don’t trust the returns provider. It highlights the reason for logistics as a service providers to bundle reliable delivery, hassle-free returns, and transparent tracking.

To address these growing operational and customer experience demands, startups are building logistics-as-a-service solutions that streamline transportation and fulfillment networks.

  1. Shipia (Hong Kong): Cloud-based Warehouse & Shipping Management
  2. Zippyy.ai (USA): AI Co-Pilot for Shipping Management
  3. Refined Robotics (Japan): Last-Mile Package Delivery Robot
  4. PROROUTING (India): Logistics Orchestrator Engine
  5. Dockware (USA): Automated Shipment Scanning
  6. Synkka AI (UK): Carrier Integration
  7. JUNA (Germany): Electric Truck as-a-Service
  8. Vopty (Sweden): Route Optimization & Delivery Management Apps
  9. Finova Technologies (Singapore): Embedded Finance
  10. DistroLogic (USA): Bi-directional Cross-border Trade Execution

 

 

Emerging Logistics as a Service Companies to Watch in 2026

1. Shipia – Cloud-based Warehouse & Shipping Management

  • Founding Year: 2025
  • Location: Hong Kong

Hong Kong-based Shipia makes a cloud-based platform that centralizes warehousing, fulfillment, shipping, and customer management.

Its warehouse management system (WMS) module supports multi-warehouse allocation with rule-based order distribution and real-time operational control. It allows businesses to define storage locations, track CBM usage, SKU counts, and piece counts.

Besides, its inventory management module enables detailed SKU-level tracking, including dimensions, weight, and product kitting. The automated safety stock notifications further aid in maintaining inventory control and reducing disruptions.

Also, the platform’s shipping management system module consolidates courier accounts into a dashboard for simplified shipment processing. Businesses are able to allocate shipments by courier, weight range, or country, and the labels are generated via customer portal entries, CSV imports, or API connections.

Further, the startup’s visualized CRM module manages orders with Shopify integrations, APIs, and bulk uploads. Logistics providers scale services with role-based user authorization, costing oversight, and operational visibility.

2. Zippyy.ai – AI Co-Pilot for Shipping Management

  • Founding Year: 2023
  • Location: Bellevue, WA, USA

US-based startup Zippyy develops an AI-driven logistics platform that simplifies shipping operations with unified carrier access and intelligent rate comparison.

The platform connects merchants to global carriers and provides negotiated shipping rates that lower logistics costs and enable delivery coverage worldwide.

Zippyy’s tracking dashboard centralizes monitoring, which improves the post-purchase experience by delivering consistent tracking updates. It also simplifies order status management.

Moreover, its Metis AI copilot analyzes shipping data to optimize carrier selection, delivery routes, and operational workflows. The AI engine supports cost control while improving delivery and supply chain efficiency.

Zippyy also integrates with major e-commerce marketplaces and checkout systems for automating shipping workflows from order creation to returns management.

3. Refined Robotics – Last-Mile Package Delivery Robot

  • Founding Year: 2025
  • Location: Tokyo, Japan

Japanese startup Refined Robotics creates autonomous last-mile robotic systems that combine physical AI with precision engineering to improve urban delivery operations.

Its autonomous platform operates in various urban terrains and supports deliveries that last up to eight hours. The robots navigate complex environments, including multi-floor buildings, which enables deliveries beyond ground-level access points.

Additionally, Refined Robotics applies a multi-robot deployment model that reduces reliance on van-based logistics in dense cities. Its electric fleet lowers CO2 and greenhouse gas emissions and supports sustainability goals.

4. PROROUTING – Logistics Orchestrator Engine

  • Founding Year: 2025
  • Location: Bangalore, India

Indian startup PROROUTING builds a logistics orchestration engine that simplifies hyperlocal delivery operations for quick commerce platforms and digital marketplaces. Its routing engine leverages algorithms to select the suitable logistics partner for each order based on delivery constraints.

The engine integrates with the open network for digital commerce (ONDC) and connects businesses to multiple logistics partners using an API. It also provides real-time analytics dashboards with performance insights across partners and delivery zones.

PROROUTING’s integration provides businesses with access to a broad delivery network. This includes OLA Logistics, Swiggy Genie, Porter, Shadowfax, and Yulu.

5. Dockware – Automated Shipment Scanning

  • Founding Year: 2025
  • Location: Tulsa, OK, USA

US-based startup Dockware makes a platform that leverages AI and computer vision to convert physical shipments into digital twins. It captures freight dimensions, conditions, identifiers, and shipment data without manual entry or workflow disruption.

The platform records real-time, verified dimensions to support billing and trailer loading. It also identifies shipments using barcodes, data matrices, alphanumeric characters, and an expanding symbol recognition library.

It enables instant case and unit counting to verify builds and prevent undercounts during dock operations. The platform’s companion mobile app, Dockware Scan, allows teams to capture shipment data without additional hardware.

Further, the Dockware Vision autonomous sensor suite mounts onto docks and records freight data in motion without slowing operations.

Once the data is captured, the startup’s proprietary algorithms generate a time and geo-stamped digital twin with a visual fingerprint. This digital record integrates with existing dock management systems and is shared across carriers, receivers, insurers, and logistics partners.

 

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6. Synkka AI – Carrier Integration

  • Founding Year: 2024
  • Location: London, UK

UK-based startup Synkka AI creates AI-driven carrier integration solutions that remove technical bottlenecks in building and scaling delivery networks.

Its AI workers manage the carrier integration lifecycle, including business analysis, software development, and quality assurance. The startup’s AI Business Analyst interprets API documentation and aligns integrations with operational and commercial carrier logic.

Further, the AI Software Engineer accelerates integration builds, which enables faster deployment. The AI Quality Assurance validates cross-border logic, service mappings, and operational configurations before launch. This reduces testing cycles and ensures production-ready integrations.

Synkka AI thus enables delivery technology providers, 3PL and 4PL operators, cross-border logistics companies, last-mile carriers, marketplaces, and freight forwarders to reduce carrier integration time.

7. JUNA – Electric Truck as-a-Service

  • Founding Year: 2023
  • Location: Berlin, Germany

German startup JUNA provides Electric Truck-as-a-Service solutions that enable logistics operators transition to zero-emission road freight.

It offers Scania electric trucks with regional capability and emission-free operation. The fleet supports ranges up to 350 km at 40 tonnes, a maximum gross train weight of 64 tonnes, and fast charging to ~80% in 60 minutes at 375 kW.

JUNA leverages a pay-per-use pricing model that links vehicle costs directly to utilization, such as kilometers driven. This usage-based approach reduces financial risk and aligns costs with operational demand.

8. Vopty – Route Optimization & Delivery Management Apps

  • Founding Year: 2023
  • Location: Malmo, Sweden

Swedish startup Vopty creates Vopty Planner, a web-based route optimization app, and Vopty Driver, a delivery management app for distribution planning and execution.

The startup’s Vopty Planner app enables automatic and manual route optimization based on forecasted transportation needs. It supports real-time fleet tracking, live adjustments, and CO2e calculations to improve planning accuracy and monitor environmental impact.

Besides, the Vopty Driver assists drivers with real-time route updates, stop details, and turn-by-turn navigation. The app also enables activity tracking, barcode and QR code scanning, and proof-of-delivery using photos, signatures, and comments.

Vopty integrates with enterprise systems and publishes optimized routes directly to drivers. Its self-learning optimization engine improves route accuracy over time and adapts to operational changes such as vehicle breakdowns, staff absences, or last-minute orders.

9. Finova Technologies – Embedded Finance

  • Founding Year: 2024
  • Location: Singapore

Singaporean startup Finova Technologies builds an embedded finance platform for logistics and supply chain businesses. It integrates payments, credit, and lending infrastructure into operational workflows.

Its digital merchant wallet enables logistics operators to process payments while accessing transaction-level financial insights. The wallet centralizes fund flows and provides real-time visibility into receivables and settlements.

Finova’s loan management system module supports cash-on-delivery financing and loan book administration. It manages disbursements, repayments, and performance tracking within a structured credit framework.

The platform also includes an AI-powered credit engine that applies machine learning models to assess borrower risk. This enables real-time lending decisions, faster underwriting, and alignment of credit exposure with transactional data.

10. DistroLogic – Bi-directional Cross-border Trade Execution

  • Founding Year: 2025
  • Location: Mount Pleasant, SC, USA

US-based startup DistroLogic makes a SaaS-enabled, AI-driven supply chain orchestration platform for bi-directional cross-border trade execution.

The platform leverages machine intelligence for harmonized system (HS) classification, landed-cost modeling, and automated compliance rule interpretation. The AI outputs are traceable and auditable for human oversight and regulatory control across shipment records.

DistroLogic takes enterprise data, product information, and regulatory context from ERP systems, marketplaces, and partner platforms. This establishes a governed execution baseline that aligns trade policy with operational workflows.

Further, its trade intelligence engine provides deterministic classification, predictive duty modeling, and automated exception detection across shipment events.

The startup’s platform orchestrates multimodal transport across air, ocean, road, rail, and intermodal networks with governed routing and partner coordination. It captures proof of execution, maintains unified trace records, and supports audit readiness across the supply chain.

How Did We Spot These Companies?

This logistics-as-a-service startup analysis draws on proprietary intelligence from the StartUs Insights Discovery Platform, which tracks 9M+ companies, 25K+ technologies and trends, and 190M+ patents, news articles, and market reports.

Leveraging the platform’s Big Data and AI-powered scouting capabilities, we analyzed 1820+ logistics-as-a-service startups and scaleups worldwide to identify emerging innovation patterns across digital freight platforms, supply chain orchestration, last-mile delivery, and logistics automation.

The analysis shows strong startup activity in the USA and India, with the UK also emerging as a fast-growing contributor. Key innovation hubs include Dubai, London, Bangalore, New York City, and San Francisco, where dense logistics networks, advanced e-commerce ecosystems, supply chain digitization, and strong venture investment are accelerating the development of platform-based logistics services.