Automated supply chain
Build AI-powered supply chain operations to drive faster decisions, lower costs and stronger resilience.
How AI is changing the automated supply chain
Traditional supply chains still run on disconnected, manual workflows: logistics exceptions pile up in spreadsheets, and supply chain leaders find out about disruptions only after they hit costs or customers. Artificial intelligence changes what is possible. An automated and autonomous supply chain senses and resolves exceptions in real time, reroutes logistics automatically and adjusts stock without waiting for a planner. Companies that make this shift gain speed, resilience and real efficiency.
DATA
70%
Of companies have tested or implemented generative AI in supply chain — making now the moment to move from pilots to a fully connected automated operation.
21%
global average autonomy maturity across supply chain activities, leaving most companies with significant headroom to automate.
62% / 60%
decrease in reaction and recovery time from supply chain disruption for companies running automated and autonomous supply chain capabilities.
How Accenture can help in automated supply chain
Intelligent Process Automation
We help you use artificial intelligence and robotic process automation to take routine supply chain tasks off your team's plate.
Client pain points
Most supply chain operations run on disconnected tools that do not share data. One tool handles one step, a separate system handles another, but nothing connects across the full operation. Efficiency suffers because planners spend most of their time on routine exception handling and fulfillment tasks rather than decisions that need judgment.
Why partner with Accenture
AI Refinery and agentic automation built for supply chain management
Accenture's AI Refinery and agentic AI framework provide reusable AI agents and automation tools built specifically for supply chain management, so automated systems share context and act consistently across planning, procurement and fulfillment.
Robotic process automation at enterprise scale
Accenture deploys robotic process automation across repetitive tasks including invoice management, order fulfillment and inventory management reconciliation, freeing planners to focus on higher-value decisions.
Scale across 25+ supply chain technology partners
Accenture integrates automation tools from more than 25 technology partners, connecting artificial intelligence, robotic process automation and supply chain management platforms into one coherent automated system.
Cross-industry supply chain expertise
Accenture works with supply chain leaders across industrials, consumer goods, life sciences, high tech, utilities, energy and retail, bringing sector-specific platform configuration knowledge to every intelligent supply chain engagement.
Your path to better Intelligent Process Automation
Step 1: Assess - Map exceptions, manual effort and decision bottlenecks
Identify the tasks where manual work, exception handling and rework consume the most time and introduce the most error, then prioritize those for supply chain automation.
Step 2: Connect - Connect data, processes and automation across functions
Move beyond siloed automation to an integrated layer that connects data, planning, fulfillment and execution in a unified operating system.
Step 3: Activate - Deploy AI agents and autonomous decision intelligence
Embed AI agents and decision intelligence so the supply chain can sense changes, recommend actions and increasingly execute decisions without human intervention.
What our Intelligent Process Automation services include
- Robotic process automation for invoice management, fulfillment and inventory management
We deploy robotic process automation across high-volume, repetitive supply chain tasks including invoice management, order fulfillment and inventory reconciliation, reducing manual workload and error rates so planners can focus on decisions that need judgment. - AI-driven exception management built on Accenture’s AI Refinery and agentic framework
We implement AI-driven exception management using Accenture’s AI Refinery and agentic framework, deploying reusable AI agents that sense, triage and resolve supply chain exceptions across planning, procurement and fulfillment without manual intervention. - Intelligent automation connecting planning, procurement and distribution workflows
We build intelligent automation layers that connect planning, procurement and distribution into a unified automated system, eliminating the handoffs between disconnected tools where decisions slow down and errors accumulate. - Integration across 25+ technology partners including warehouse management system and ERP platforms
We integrate automation tools across more than 25 technology partners, connecting artificial intelligence, robotic process automation and supply chain management platforms including warehouse management systems and ERP into one coherent automated operation. - Supply chain automation solutions for platform modernization and integration
We deliver supply chain automation solutions that modernize legacy platforms and integrate new automation capabilities without requiring a full system replacement, protecting existing investments while expanding what the operation can do autonomously.
Proven, measurable results
29%
Of working hours across supply chains could be automated by generative AI — the scale of the opportunity for intelligent process automation.
66%
Of companies plan to advance their supply chain autonomy to the next level by 2035, signalling the urgency behind investing in intelligent process automation now.
48%
Of organizations plan to integrate AI agents into their digital systems within the next three years.
E2E Autonomous supply chain & orchestration
We help you move from isolated automation pilots to end-to-end autonomous supply chain orchestration across every function.
Client pain points
Most supply chains are still coordinated by people: planners reviewing alerts, operations teams managing handoffs between systems, procurement approving routine decisions. Autonomous technology exists, but connecting it end to end across plan, source, make, deliver and service remains the gap. Pilots that work in one function fail to propagate because there is no orchestration layer to coordinate decisions across the full supply chain network.
Why partner with Accenture
Unified Semantic Knowledge Layer
Accenture connects every part of your supply chain to a shared intelligence layer, so AI agents sense and act consistently rather than optimizing locally in disconnected silos.
Orchestrator, Super and Utility Agent Hierarchy
Accenture deploys a three-level agent hierarchy, — Orchestrator, Super and Utility Agents, — so when a disruption hits one part of the supply chain, the response is coordinated across every function automatically, not handled in isolation.
Built on your existing landscape, not a rip-and-replace
Accenture builds agents and orchestration on top of existing ERPs and connected platforms, — including SAP, Oracle, Kinaxis, o9 and Ariba, alongside ecosystem partners such as NVIDIA, so companies move to autonomous operations without replacing the systems they already run on.
Autonomous Supply Chain Operating System (ASCOS)
ASCOS delivers industry-specific pre-built packs as a registry of agents, data models and knowledge layers, powering autonomous planning, fulfillment, service management and procurement. Companies can activate these as interoperable domain solutions without building from scratch.
Your path to E2E Autonomous supply chain & orchestration
Step 1: DIAGNOSE - Diagnose where fragmented automation is creating smarter silos, not scaled intelligence
Identify which AI pilots have stalled at proof-of-concept, map where Transportation Management System (TMS), Warehouse Management System (WMS), Order Management System (OMS) and ERP systems are optimizing locally without cross-domain coordination, and quantify the cost of decisions that conflict across functions.
Step 2: ORCHESTRATE - Orchestrate intelligence across every domain using a unified semantic core
Deploy Accenture's Unified Semantic Knowledge Layer and agent hierarchy — Orchestrator, Super and Utility Agents, so decisions in planning, sourcing, manufacturing, fulfillment and service connect into one self-healing autonomous network rather than isolated automated workflows.
Step 3: SCALE - Scale from pilot to enterprise-grade autonomous operations
Move beyond AI pilots that stall before reaching production. Accenture's industry-ready accelerators and workforce transition blueprints help organizations scale with confidence, transitioning teams from doing the work to managing AI agents, while keeping humans in the lead for governance and exception handling.
What our E2E autonomous supply chain & orchestration services include
- Unified Semantic Knowledge Layer design and deployment
We build the knowledge foundation that gives every agent across your supply chain a shared, consistent source of truth to sense and act on. - Orchestrator, Super and Utility Agent hierarchy
We deploy a structured agent hierarchy that enables autonomous cross-domain execution, so a disruption in one supply chain domain triggers a coordinated response rather than a locally optimized but globally misaligned one. - Multi-agent orchestration across your existing landscape
We build orchestration on top of your existing ERPs and connected platforms, including SAP, Oracle, Kinaxis, o9 and Ariba, so you move to autonomous operations without replacing the systems you already run on. - Autonomous Supply Chain Operating System (ASCOS)
We activate ASCOS pre-built industry packs, deploying agents, data models and knowledge layers for autonomous planning, fulfillment, service management and procurement as interoperable domain solutions. - Hybrid Workforce Blueprint
We define the organizational model that transitions your teams from doing the work to managing the agents, so the workforce adopts digital workers as teammates rather than just tools.
Proven, measurable results
25%
improvement in labor productivity for companies using autonomous systems.
27%
reduction in order lead time for companies using autonomous systems.
62% / 60%
decrease in reaction and recovery time from supply chain disruption for companies running autonomous supply chain capabilities.
Our leaders
Chris McDivitt
Managing Director, Supply Chain and Engineering, Autonomous Supply Chain
Michel Van Veegaete
Managing Director, Supply Chain and Engineering, Autonomous Supply Chain, EMEA
Kimia Dargahi
Managing Director, Supply Chain and Engineering, Autonomous Supply Chain, Americas
Harshit Nigam
Managing Director, Supply Chain and Engineering, Autonomous Supply Chain, APAC
Frequently asked questions
Supply chain automation readiness assessments are typically led by specialized consulting firms with hands-on experience across planning, logistics and warehouse operations, since the value of the assessment depends on the ability to benchmark a company's current capabilities against what is achievable rather than what is theoretically possible. Accenture's automation readiness work draws on more than 29,000 supply chain engagements across 55 countries, using structured diagnostics to identify where manual processes are creating the most cost and risk. The output is a prioritized automation roadmap with a quantified business case, not a generic technology recommendation.
Automated workflows improve supply chain management by removing the manual handoffs between systems where decisions slow down, errors accumulate and exceptions go unmanaged. Instead of planners spending time coordinating between disconnected platforms, automated workflows route information, trigger actions and escalate exceptions without human intervention, so the supply chain responds to changes in real time rather than at the speed of the next review cycle. The result is faster cycle times, lower error rates and a planning function that spends more time on judgment and less on coordination.
Artificial intelligence improves supply chain efficiency by replacing static, schedule-driven processes with systems that sense changes and act on them continuously. In planning, AI-driven demand sensing detects shifts in demand earlier than manual forecasting methods and adjusts replenishment automatically. In logistics and warehouse operations, artificial intelligence optimizes carrier selection, routing and inventory allocation in real time, so decisions reflect current conditions rather than yesterday's data.
Supply chain resilience depends on how quickly a company can detect a disruption and redirect its operations before the impact reaches customers, and automation is what makes that speed possible at scale. Automated monitoring systems flag exceptions across inventory levels, supplier performance and logistics in real time, while AI-driven response tools can reroute orders, adjust sourcing and rebalance stock without waiting for a human to diagnose the problem. Companies running automated and autonomous supply chain capabilities have seen reaction and recovery times from disruptions fall by more than 60%.