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Overview

Unlock AI Value in Logistics Industry with Speed and Confidence at Scale

As AI redraws logistics, Infosys helps the world's logistics and distribution leaders stay ahead of volatile demand and relentless cost and service pressure — with confidence. The Infosys Unlock AI Value framework turns AI ambition into operational reality at speed and at scale: an AI-first, AI-augmented core grounded in deep domain knowledge of your network and the ecosystems you operate in. We bring the full strength of the AI ecosystem to your advantage — hyperscalers, AI-native partners, chipmakers and infrastructure leaders — orchestrated by Infosys into outcomes you can trust. And we create value at every step of the logistics value chain: smarter network planning and demand sensing, AI-optimized routing and load building, automated freight audit and exception handling, warehouse robotics and predictive maintenance, and self-optimizing, autonomous supply chains. From experimentation to enterprise scale — built to last, governed by design.

An AI-first Core for Logistics

Together, the six value pools form a single AI-powered core—one that orchestrates AI consistently at scale, activates network data for sharper decisions, reimagines processes through human-AI collaboration, modernizes the legacy core for agility, brings intelligence into warehouses, fleets, and networks, and embeds trust throughout. This is how Infosys helps the world's logistics and distribution leaders turn AI ambition into operational reality—at speed, at scale, and built to last.

Infosys AI First Value Framework - Logistics Six tightly coupled AI Value pools helps global enterprises unlock AI value at scale.

From scattered pilots to an enterprise AI operating model

We design the AI strategy, platforms, and agentic architecture that connect end-to-end logistics planning across intermodal operations, transportation, warehousing, and customer operations, into a single operating model—orchestrating AI agents, proprietary platforms, and partner tools on infrastructure built for your network. The result is a clear route from a promising experiment to an enterprise-wide capability you can rely on across the supply chain.

Turn fragmented network data into a trusted asset

Operational signals live everywhere—TMS and WMS, telematics and IoT sensors, EDI and shipment events, ERP and customer systems—and rarely speak to one another. We build AI-ready data foundations and apply AI-grade data engineering, including synthetic data where signal is thin, so structured and unstructured data become one trusted source for demand sensing, end-to-end visibility, and real-time decisions.

Reimagine the logistics value chain, function by function

We embed domain-aware agents alongside your teams to redesign the workflows that define logistics performance—network planning and demand sensing, routing and load building, freight audit and exception handling, and document processing across booking and compliance. Decisions that once took hours of manual coordination happen continuously, with people and AI working together across the network.

Modernize the core without pausing operations

Aging TMS, WMS, and order management systems are where transformation usually stalls. AI agents reverse-engineer these estates, recover their intent, and modernize them progressively—cutting technical debt while keeping freight moving and shipments flowing—so you gain the agility to add lanes, partners, and services faster.

Intelligence where freight is moved, stored, and handled

This is where the digital and physical worlds converge across logistics: warehouse robotics, predictive maintenance, AI-optimized routing, and self-optimizing, autonomous supply chains. Sensors, edge intelligence, and autonomous systems let fleets, facilities, and networks sense conditions and act in real time, from the dock to the doorstep.

Scale with confidence, governed by design

Logistics organizations operate under intense scrutiny—on data security, customs and trade compliance, safety, and model behavior. We embed risk assessment, policy, security testing, and governance across the AI lifecycle, so every agent and model meets regulatory, ethical, and operational expectations. Trust isn't a final checkpoint; it's designed in from the start.

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