AI Companies Reshaping Logistics at Manifest

AI Companies Reshaping Logistics at Manifest

• Dot Ai

Dot Ai is focused on turning physical assets into continuous data sources. By combining IoT sensors with AI-driven analytics, the platform gives logistics teams real-time intelligence on pallets, containers, and equipment as they move through warehouses and transportation networks. This allows operators to see not just where assets are, but how they are being used.

What makes Dot Ai impactful is the shift from static tracking to dynamic decision-making. Instead of reacting to loss, delays, or bottlenecks after the fact, operators can predict issues, rebalance assets, and improve utilization — a major unlock for large, distributed supply chains.

• FourKites

FourKites continues to push beyond visibility into true supply chain orchestration. Its AI-driven platform connects real-time transportation data with predictive analytics, helping enterprises anticipate disruptions, manage exceptions, and coordinate across carriers, shippers, and internal teams.

Its presence at Manifest reinforces a broader shift in logistics: visibility alone is no longer enough. AI is now being used to actively drive decisions, align stakeholders, and close the gap between planning and execution.

• Super.AI

Super.AI tackles one of logistics’ most persistent friction points — document processing. Bills of lading, invoices, customs documents, and proofs of delivery are still heavily manual, slowing operations and introducing errors. Super.AI applies machine learning to automate and standardize these workflows at scale.

As logistics networks grow more complex, clean and structured data becomes critical. By automating document flows, Super.AI helps operations teams move faster while improving downstream accuracy across TMS, WMS, and ERP systems.

• Surgere

Surgere specializes in high-resolution asset visibility using AI, RFID, and IoT technologies. Its platform gives enterprises deep insight into where assets are, how they’re moving, and how efficiently they’re being used across global supply chains.

Rather than stopping at tracking, Surgere’s AI layer focuses on outcomes. It identifies inefficiencies, flags risk, and helps companies reduce asset loss while improving utilization at scale.

• Pallet

Pallet is building AI-native tooling designed specifically for logistics execution teams. The platform helps manage shipments, workflows, and exceptions with intelligence embedded directly into daily operations rather than layered on afterward.

This reflects a larger theme at Manifest: AI is moving closer to the operational front lines. Pallet brings automation and decision support to execution, where speed, accuracy, and adaptability matter most.

• eHub

eHub operates as a carrier orchestration layer between warehouses, shipping systems, and parcel networks. Its AI-driven tools help companies onboard carriers faster, select optimal shipping options, and dynamically adapt routing strategies.

As parcel networks fragment and regional carriers grow in importance, eHub’s intelligence layer helps shippers stay flexible while maintaining cost and service control.

• Moddule

Moddule focuses on turning raw shipment tracking data into predictive insight. Using AI, the platform identifies patterns, forecasts ETAs, and flags potential disruptions before they impact customers or downstream operations.

This proactive approach allows logistics teams to manage by exception instead of chasing updates, improving communication and reducing operational fire drills.

• Retina Robotics

Retina Robotics applies AI to warehouse operations through real-time digital twins and robotic intelligence. By modeling warehouse environments dynamically, the platform helps operators understand flow, congestion, and performance at a granular level.

These insights support smarter labor planning, automation investments, and layout optimization — increasingly critical as warehouses become more complex and throughput expectations rise.

• Ventus AI

Ventus AI positions itself as an intelligence layer across logistics operations, helping teams automate decisions across planning, execution, and optimization. The platform learns from operational data to continuously improve recommendations.

Instead of replacing existing systems, Ventus AI sits across them, making adoption easier and reducing the friction typically associated with AI rollouts.

• ShipLab

Shiplab addresses parcel data complexity by offering a vendor-neutral API for carrier invoice and shipping data. AI is used to normalize inconsistent billing formats and surface actionable cost and performance insights.

As parcel volumes increase and pricing structures become more opaque, ShipLab provides clarity that enables better auditing, cost control, and carrier strategy decisions.