Uber Freight TMS: Logistics Operations Platform
Uber Freight TMS is a transportation management system built for shippers and their logistics partners to centralize, plan, execute, and manage freight operations across multiple modes and regions. It is an end-to-end logistics platform covering the full procure-to-pay cycle, combining carrier procurement, operational execution, real-time visibility, payment settlement, and advanced analytics in a single system.
For SMEs running complex supply chains or handling significant freight volumes, a robust TMS can mean the difference between operating reactively — putting out logistics fires every day — and operating strategically with data that helps anticipate problems and optimize costs. Uber Freight TMS positions itself as a solution that goes beyond simple routing guides, offering a unified layer that connects the entire logistics workflow.
AgentAya Verdict
This is a comprehensive platform backed by one of the largest carrier networks in North America and by over two decades of industry experience. Its greatest strength lies in integrating the full transportation cycle with predictive capabilities and a conversational AI layer (Insights AI) that supports decision-making.
That said, this is a solution built for mid-to-large-scale operations. The platform does not publish pricing, does not offer a visible free plan, and its onboarding process begins with a logistics value assessment — suggesting a consultative, personalized approach rather than a self-service model. For smaller businesses with straightforward logistics needs, it may be more than they need. For those managing complex transportation networks, multiple carriers, or multimodal requirements, it deserves serious consideration. The platform does not publish pricing, does not offer a visible free plan, and its onboarding process begins with a logistics value assessment — suggesting a consultative, personalized approach rather than a self-service model. For smaller businesses with straightforward logistics needs, it may be more than they need. For those managing complex transportation networks, multiple carriers, or multimodal requirements, it deserves serious consideration.
Score Breakdown
| Category | Score | Description |
| Features and capabilities | 4.5 ⭐⭐⭐⭐⭐ | Full procure-to-pay cycle with modules for procurement, execution, visibility, payments, and analytics |
| Integrations | 4/5 ⭐⭐⭐⭐ | Connectivity via EDI, API, and web and mobile portals; ERP integration and partnerships with platforms such as BluJay |
| Language and support | 4/5 ⭐⭐⭐⭐ | Interface and core support in English; multilingual support confirmed for mobile apps and website, with partial coverage across documentation and additional languages |
| Ease of use | 3.5 ⭐⭐⭐⭐ | Interface rated as intuitive by users; Insights AI reduces the learning curve, but the breadth of functionality requires training |
| Value for money | 3.5 ⭐⭐⭐⭐ | No public pricing available; this approach requires a significant upfront investment, offset by proven savings in real customer cases |
AgentAya Overall Score: 4/5 ⭐⭐⭐⭐
Ideal For
- SMEs with multimodal transportation networks (full truckload, LTL, intermodal, refrigerated, flatbed, cross-border) that need to unify operations
- Shippers managing multiple carriers who want to consolidate procurement, execution, and payments on a single platform
- Companies with cross-border operations, especially within North America
- Organizations that prioritize real-time visibility and decision-making driven by predictive data
Not Ideal For
- SMEs with simple logistics operations or low shipment volumes
- Businesses looking for a self-service solution with transparent pricing and instant activation
- Companies outside North America that need global coverage
- Organizations with limited budgets that cannot commit to a consultative evaluation and implementation process
Key Features
- Procurement: spot estimates with predictive pricing models, spot auctions and instant multi-carrier quotes, contract rate and routing guide uploads from Uber Freight Exchange, centralized award and contract management, and procurement scenario analysis.
- Execution: automated carrier assignment, load tendering and rating, and access to spot market bids for non-contracted lanes.
- Visibility: end-to-end freight tracking via EDI, API, web and mobile portals, with third-party provider partnerships for domestic, international, and cross-border shipments.
- Payments and settlement: invoice verification, claims management, and an integrated procure-to-pay workflow.
- Analytics: customizable KPI dashboards, reports on transportation costs, carrier performance, and route efficiencies.
- Data correction engine: real-time automated cleansing of data from multiple sources before it enters operational queues and reporting databases.
- Parcel TMS: integrated module for parcel management focused on cost reduction.
- LaneHub: cross-shipper load matching by carrier and lane to optimize capacity and costs.
- Facility insights: facility performance ratings and metrics, including their impact on driver experience.
These capabilities allow SMEs with complex logistics operations to centralize processes that would otherwise require multiple tools, reducing operational fragmentation and the errors that come from manually managing data across disconnected systems.
AI Features
- Insights AI: a logistics copilot with a conversational interface that lets users ask questions in natural language and receive real-time answers about supply chain challenges.
- Customizable KPI dashboard: a panel tailored to the user’s profile with curated insights and proactive recommendations.
- Predictive pricing models: spot estimates based on historical data and market patterns.
- Predictive service algorithm: developed in partnership with Everstream, this machine learning model considers over 40 operational factors to forecast outcomes and take proactive action against potential disruptions; the system improves its accuracy over time.
- Data correction engine: automated rules that cleanse inconsistent data in real time before it enters operational workflows.
What stands out about Uber Freight TMS is how the conversational copilot and the predictive models work together. Insights AI goes beyond presenting data — it identifies high-impact opportunities drawn from over two decades of accumulated logistics intelligence and brings them to the surface proactively. The predictive service algorithm, meanwhile, moves past conventional tracking by flagging problems before they happen. That said, these are capabilities as described by the vendor, and how well they perform in practice will depend on the quality of the customer’s data and the volume of operations.
Integrations
- EDI: electronic data interchange with carriers and partners.
- API: programmatic integrations, including a partnership with BluJay Solutions that allows shippers to access real-time pricing directly from their existing TMS.
- Web and mobile portals: access for carriers and logistics partners.
- Uber Freight Exchange: proprietary platform for uploading contract rates and routing guides.
- ERP configuration: naming conventions aligned with the customer’s ERP, custom order types, and business units.
The platform’s integration ecosystem is oriented toward the North American enterprise logistics environment. Uber Freight TMS provides an open API and maintains an active integration partner program. The architecture supports business rule configuration for customizing transit calculations, quoting formulas, and routing and rate logic.
Data Security and Compliance
Uber Freight maintains a public Trust Center that documents its certifications and security controls. It holds audited SOC 1 Type 2 and SOC 2 Type 2 certifications, with bridge letters ensuring continuity between audit cycles. It also provides an external penetration testing attestation letter and a documented business continuity plan.
- Infrastructure security: backup alerts, restricted access, penetration testing.
- Organizational security: background checks, code of conduct.
- Product security: data transmission encryption, password policies.
- Internal audit and access procedures: internal audit and access procedures.
- Privacy: data classification policy, data loss prevention measures, and asset disposal procedures. The platform collects personally identifiable information from customers, and data is transferred via encrypted secure connections, with the option to request data deletion.
Language: Customer Support and Interface
The TMS interface and operational support are delivered primarily in English. Multilingual support is confirmed for both mobile apps and the website, where the application adopts the language configured on the user’s device (iOS, Android) — though not all languages may be available.
AI Language – The Tool Itself
The core functions of Uber Freight TMS — route planning, optimization, load tendering, tracking, and settlement — work with structured data such as rates, coordinates, carrier codes, and order references. In that sense, the user’s language is not a functional limitation for logistics execution.
The exception is Insights AI, the conversational copilot, which operates through natural language.
Mobile Access
Uber Freight has a mobile app available on iOS and Android, though it is primarily designed for carriers to search, filter, bid on, and book loads. The TMS platform for shippers provides access through web portals. Mobile portals are also mentioned as part of the visibility and tracking tools.
Support, Onboarding, and Account Management
Onboarding starts with a logistics value assessment. Uber Freight takes the customer’s data and uses it to quantify achievable savings and network stability, review operations and performance in a structured way, pinpoint cost and service opportunities through engineering-led analysis, and put together a business case with an implementation plan. According to the company, this initial assessment typically identifies up to 15% improvement in cost position.
Uber Freight also offers regular webinars featuring market analysis (including its chief economist), downloadable guides, support by email, case studies, and technology release notes. It maintains an integration partner program and a private-label resource library hosted on Brandfolder, accessible to employees via single sign-on (SSO), with official asset collections subject to usage guidelines.
For SMEs with limited technical experience, this consultative model cuts both ways: it provides personalized guidance, but it also means relying on the vendor’s team for initial setup.
Ease of Use / UX
Uber Freight TMS is an enterprise-grade platform that incorporates features to ease adoption. Insights AI allows users to ask questions in natural language instead of navigating complex dashboards, opening analytics access for non-technical users. The data correction engine eliminates a significant source of operational friction by automatically cleansing inconsistent data before it enters the system.
Users of the platform consistently highlight service reliability, intuitive interface navigation, and tracking capabilities.
The modular architecture allows the configuration to be tailored to each customer’s needs, meaning not all users face the same level of complexity from the start. Even so, the breadth of the platform’s functionality means an SME will need time and support to unlock its full potential.
Pricing and Plans
Uber Freight TMS does not publish pricing on its website. Access begins through a free demo request or a logistics value assessment, indicating a custom pricing model likely based on shipment volume, contracted modules, and service level.
For carriers, the Uber Freight Card is offered with no setup fees, card fees, or transaction fees, along with fuel discounts and accelerated payment options.
Case Study
An adhesives manufacturer operating across multiple independent transportation networks faced a common problem: fragmented visibility, weak negotiating leverage on rates, and manual processes that were slow. After unifying its networks on Uber Freight TMS, the company brought all lane management onto a single platform, gained full visibility into its addressable spend, and ran centralized procurement strategies that delivered a significant cost reduction. This is a textbook scenario for the platform — multiple disconnected networks consolidated under one TMS with built-in analytics and optimization — and it illustrates the kind of value it can offer SMEs with distributed logistics operations.
Uber Freight TMS vs Alternatives
Uber Freight TMS vs. Zauber
Both are AI-powered tools for logistics operations, but they serve distinct segments of the industry.
| Aspect | Uber Freight TMS | Zauber |
| Focus | End-to-end TMS with its own carrier network and multimodal capacity | Internal automation for freight forwarders (ocean and air) |
| Core AI | Insights AI (conversational copilot) and predictive pricing and service models | Configurable natural-language AI agents that operate from Outlook |
| Transportation network | Direct access to one of the largest networks in North America | No proprietary network |
| Transport modes | Full truckload, LTL, intermodal, refrigerated, flatbed, cross-border | Ocean and air |
| Key integrations | EDI, API, ERP, BluJay, Uber Freight Exchange | Outlook, CargoWise, SharePoint, Teams, Slack |
| Access model | Logistics value assessment and personalized demo | Individual enterprise agreements |
| Public pricing | No | No |
Uber Freight TMS is a comprehensive logistics platform that unifies procurement, execution, visibility, and payments, backed by its own carrier network. Zauber, by contrast, embeds itself into the tools a freight forwarder already uses (primarily Outlook and CargoWise) to automate operational tasks such as quoting, booking, and document management. They do not compete directly: Uber Freight addresses end-to-end transportation management, while Zauber optimizes the logistics operator’s internal productivity within their existing workflow.
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FAQs
Is Uber Freight TMS a good fit for SMEs?
It can be, for SMEs with logistics operations of a certain volume and complexity — especially those operating in North America with multiple carriers and transport modes. For SMEs with basic shipping needs, the platform may be more than they need.
What are the best alternatives to Uber Freight TMS?
It depends on the segment. For enterprise TMS, alternatives include platforms such as Oracle Transportation Management and SAP Transportation Management. For freight forwarders looking for specialized operational automation in ocean and air freight, Zauber is a purpose-built option with a different approach: rather than managing transportation end to end, it optimizes the operator’s internal productivity.
Is Uber Freight TMS secure?
The platform holds SOC 1 and SOC 2 Type 2 certifications, conducts external penetration testing, encrypts data in transit, and maintains a public Trust Center with security control documentation.
How much does Uber Freight TMS cost?
Pricing is not public. Access requires requesting a demo or a logistics value assessment, indicating a custom pricing model based on each customer’s needs.