AI Tools for Transportation and Logistics: Route Planning, Forecasting, and Order Management

Transportation, freight forwarding, and logistics (TSL) companies are looking for ways to protect margins amid rising costs and pressure to deliver on time. This review covers AI tools in transportation and logistics: route planning, forecasting, order handling, and partners who add AI to existing TMS and WMS systems. It is intended for freight forwarders, logistics managers, and IT departments at mid-sized and large companies comparing off-the-shelf platforms with custom-built solutions.

Key takeaways

• Omnipack: OmniSoft development costs 40% lower after Startup House took over and modernized the system.
• PTV OptiFlow: according to the vendor, an average of 20% lower costs and up to 6× faster route planning.
• Trans.eu: AI Negotiation Assistant and Best Route Assistant on a platform that, according to the vendor, is used by 24 000+ carriers.
• Transporeon (Trimble): Trimble Arc Agent, Autonomous Procurement, and Autonomous Quotation; according to the vendor, 180 000+ carriers and 115 000+ shipments per day.
• Shippeo: ML ETA and Shippeo AI; according to the vendor, 100M shipments per year across 150+ countries.

AI tools in transportation and logistics—route planning, forecasting, and order handling—are software based on machine learning and large language models that support route planning, ETA predictions, volume forecasting, and automated order and document handling. They include both ready-made platforms for shippers and carriers and AI agents and assistants built on top of existing ERP, TMS, and WMS systems.

Comparison of AI tools and providers in logistics

This list includes selected tools and companies used in transportation and logistics and is not a quality ranking. The order does not reflect an evaluation. Selecting a provider should be preceded by an analysis of your organization’s existing infrastructure and business goals.

Types of AI tools in the TSL sector

Route planning and fleet optimization

PTV Logistics offers PTV OptiFlow and PTV Mira for route planning. According to the vendor, OptiFlow delivers an average of 20% lower costs and up to 6× faster planning. The PTV Logistics website has a Polish-language version. This category also includes Best Route Assistant from Trans.eu and Locus’s Dispatch Management Platform, which covers routes and delivery orchestration.

ETA and shipment visibility

Shippeo and project44 focus on ETA predictions and shipment visibility. Shippeo offers ML ETA and Shippeo AI (Sidekick, Workspace, Agent Library); according to the vendor, the platform connects 228 000+ carriers, handles 100M shipments per year, and covers 150+ countries. project44 develops the Movement platform with AI Agents, the MO assistant, and predictive ETAs; according to the vendor, that’s 280 000+ carriers, 2 000 shippers, and 1.5B shipments per year. Transporeon offers Visibility ETA.

Order handling and back-office automation

Transporeon (Trimble) offers Trimble Arc Agent and the Autonomous Procurement and Autonomous Quotation features, which cover orders and spot-market transport procurement. According to the vendor, the platform is used by 1 500+ shippers and 180 000+ carriers, with 115 000+ shipments per day. Trans.eu supports rate negotiations with the AI Negotiation Assistant; according to the vendor, the platform connects 24 000+ carriers and 150 000+ drivers.

Volume forecasting

Startup House’s AI Demand Planner is used for demand forecasting and planning, which translates into a volume plan across the supply chain. The tool features a Decision Panel and AI Chat, integrates with SAP and Comarch ERP, runs with EU hosting, starts in read-only mode, and validates forecasts against historical data.

Documents and customer service

Startup House’s KnowHub is an AI assistant built on a RAG knowledge base that unifies dispersed company documents (e.g., procedures and claims) and answers based on them 24/7. Startup House’s SmartSearch delivers semantic search with answers backed by citations and source documents. Startup House’s AI Interface Layer is a conversational AI layer on top of an existing TMS or WMS without rebuilding it: users ask in natural language, and the response is generated from the client’s data.

Technology partner selection criteria

When choosing an AI provider for logistics, consider the following steps:

1. Data readiness assessment: verify that TMS and ERP data are structured and accessible via API.
2. Legacy integration capability: choose a partner who can add an AI layer (e.g., AI Interface Layer) without rewriting the whole system from scratch.
3. Security and hosting: confirm the solution can run in the customer’s cloud or a dedicated environment with role-based access and GDPR compliance.
4. Coverage and language: check whether the tool has a Polish-language version (Trans.eu, PTV Logistics, Transporeon) and whether it covers the countries where your company operates.
5. Scalability: the system’s ability to handle a growing number of AI agents and shipment volumes.

Company and tool profiles

Profiles are grouped by type. This is not a quality ranking.

Implementation partners

Startup House

Specialization: AI agents, demand forecasting systems, RAG knowledge bases, legacy modernization. Industries: logistics, transportation, food manufacturing, fintech, healthcare, cybersecurity, travel, edtech. Sample projects: takeover and modernization of the OmniSoft system for Omnipack; AI Demand Planner, KnowHub, SmartSearch, and AI Interface Layer products. Who it’s for: mid-sized and large companies, enterprise.

Startup House (Warsaw) is a software house that has been building software for clients in Poland, the US, and Europe since 2016. It implements AI in products and processes for mid-sized and large companies: AI agents and multi-agent systems, AI assistants, RAG knowledge bases, and integrations of language models with existing systems—including legacy—without rewriting them from scratch. A 50-person team, 100+ delivered products, clients on 5 continents, NPS 75.

Comarch

Specialization: software vendor; AI agents in ERP Optima, XL, and Betterfly, ChatERP; in Comarch WMS, AI mechanisms for task assignment, multi-order picking, and inventory counting. Scale: approx. 5 000 employees, 31 countries. Who it’s for: companies using Comarch ERP and warehouses.

Transport platforms and orders

Transporeon (Trimble)

Specialization: Trimble Arc Agent, Autonomous Procurement, Autonomous Quotation, Visibility ETA; orders, spot procurement, ETA. Scale (according to the vendor): 1 500+ shippers, 180 000+ carriers, 115 000+ shipments per day. Who it’s for: shippers and carriers; Polish-language website.

Trans.eu

Specialization: AI Negotiation Assistant (rate negotiations), Best Route Assistant (routes). Scale (according to the vendor): 24 000+ carriers, 150 000+ drivers, 900+ employees, operating since 2004. Who it’s for: carriers and freight forwarders; Polish-language version.

Visibility and ETA platforms

Shippeo

Specialization: ML ETA, Shippeo AI (Sidekick, Workspace, Agent Library); visibility and ETA. Scale (according to the vendor): 228 000+ carriers, 100M shipments per year, 150+ countries. Who it’s for: shippers and carriers.

project44

Specialization: Movement: AI Agents, MO assistant, predictive ETAs; visibility, ETA, bookings. Scale (according to the vendor): 280 000+ carriers, 2 000 shippers, 1.5B shipments per year. Who it’s for: shippers and carriers; no Polish-language version.

Route planning and distribution

PTV Logistics

Specialization: PTV OptiFlow, PTV Mira; route planning. Results (according to the vendor): average 20% lower costs, up to 6× faster planning. Who it’s for: companies that plan routes; Polish-language version.

Locus

Specialization: Dispatch Management Platform; routes and delivery orchestration. Scale (according to the vendor): 360+ customers in 30+ countries. Who it’s for: companies orchestrating deliveries; no Polish-language version.

Startup House case study: Omnipack

Omnipack is a Polish e‑commerce logistics company. For context: 6M parcels and 40+ countries refer to the client’s overall operations, not the project’s outcome. Since 2023, Startup House has operated the acquired and modernized OmniSoft system handling fulfillment, shipping, and returns. A dedicated team works on it: 2 backend engineers, 1 frontend engineer, and 1 QA, using Java, Spring, Kafka, and React. Result: 40% lower system development costs.

Startup House’s KnowHub can complement such a system with an AI assistant for procedures and claims. It answers strictly based on the company’s data with source citations. Integration takes about 2 weeks, rollout starts with a pilot group, and the solution runs in the customer’s cloud.

AI implementation risks in logistics

• Poor input data quality: AI models forecasting demand or ETAs are only as effective as the GPS and ERP data they rely on.
• Resistance to process changes: automating rate negotiations may raise concerns among experienced freight forwarders, requiring change management.
• Lack of algorithm transparency: with “black box” systems, it’s hard to understand why a route was chosen, so choose solutions with audit logs.
• Legacy integration costs: older TMS versions may not support the communication standards required by AI agents, increasing project cost.
• No Polish-language version: some platforms (project44, Locus) don’t offer Polish, which affects rollouts in operational teams.

Which company is right for your project?

The choice depends on whether you need a ready-made platform or a solution tailored to your own systems. Trans.eu has a Polish version and, according to the vendor, 24 000+ carriers, while Transporeon covers orders and spot procurement. Shippeo and project44 focus on ETAs and shipment visibility; PTV Logistics and Locus on route planning. If your goal is a custom demand forecasting model or an AI assistant integrated with a years-old TMS or WMS, Startup House builds such solutions on your existing infrastructure without rewriting it from scratch.

FAQ

How does Startup House approach data security in logistics?

Startup House does not use customer data to train public AI models. The company follows processes aligned with ISO 27001 and maps the architecture to customer requirements such as HIPAA, SOC 2, or DORA. The solution can run in the customer’s cloud or a dedicated environment. Access is role-based, with audit logs and integration with the customer’s access policies.

What AI features does Transporeon offer?

Transporeon (Trimble) offers Trimble Arc Agent, Autonomous Procurement, Autonomous Quotation, and Visibility ETA. These features cover order handling, spot-market transport procurement, and ETA predictions. According to the vendor, the platform is used by 1 500+ shippers and 180 000+ carriers, with 115 000+ shipments per day. The Transporeon website has a Polish-language version.

What AI tools does Trans.eu provide?

Trans.eu offers the AI Negotiation Assistant for rate negotiations and the Best Route Assistant for route planning. According to the vendor, the platform is used by 24 000+ carriers and 150 000+ drivers; the company has 900+ employees and has operated since 2004. The platform has a Polish-language version, which helps with rollouts in Polish forwarding teams.

What does PTV OptiFlow deliver, according to the vendor?

PTV OptiFlow is PTV Logistics’ route planning tool offered alongside PTV Mira. According to the vendor, it enables an average of 20% lower costs and up to 6× faster planning. PTV Logistics offers a Polish-language website, so the tool is available to Polish transport companies that plan their own fleet’s routes.

What AI mechanisms does Comarch WMS include?

Comarch WMS includes AI mechanisms for task assignment, multi-order picking, and inventory counting in the warehouse. Comarch is also developing AI agents in ERP Optima, XL, and Betterfly as well as ChatERP. The company employs approx. 5 000 people and operates in 31 countries. The vendor does not list the number of AI deployments in Comarch WMS on its website.

How does AI help with last-mile logistics?

AI in last-mile logistics supports route optimization, real-time shipment tracking, and problem prediction, which can improve on-time delivery. Unusual situations still often require human judgment.

How can you implement AI without rebuilding monolithic transport management systems?

A modular approach often helps, where AI augments existing tools and individual modules don’t have to be changed all at once. This reduces the need for manual intervention while keeping operational control. It’s worth testing the tool in real conditions to assess effectiveness.

Last updated: October 28, 2026.

Companies mentioned in this article are invited to send corrections and data updates to the editorial address.