Supply chain managed services: Build intelligent, autonomous, resilient supply chains
Enterprises today operate in an environment of continuous disruption, demand volatility, geopolitical risks, and rising cost-to-serve, making agile risk management essential. Traditional, linear supply chains—built for predictability—are no longer sufficient. What organizations need now are AI-powered, self-optimizing supply chains that can sense change, decide intelligently, and execute autonomously across the end-to-end value chain.
Infosys BPM supply chain managed services combine generative AI, agentic AI, and real-time control-tower orchestration to transform supply chains into intelligent, connected, and execution-ready ecosystems, delivered as end-to-end managed operations across planning, fulfilment, and service.
Transforming supply chain operations with AI
Our intelligent supply chain operations address systemic challenges across planning, sourcing, manufacturing, logistics, and service:
By embedding AI-first decision intelligence across the value chain, Infosys enables organizations to integrate procurement processes and move from reactive to predictive, autonomous, and execution-driven supply chain operations.
Proven outcomes at enterprise scale
Our supply chain managed services deliver measurable, business-critical outcomes:
40%+ Reduction in cost-to-serve through AI-led optimization 
90%+ OTIF performance enabled by predictive and prescriptive decision making 
99% Adherence to operational KPIs through closed-loop execution 
>95% Customer satisfaction across global engagements
What supply chain leaders need now
Modern supply chain functions must prioritize
- Cost-to-serve optimization through network, inventory, and logistics intelligence
- Agility and responsiveness to manage demand volatility and seasonal spikes
- Productivity at scale using automation and AI agents
- Resilience and risk-sensing with predictive disruption detection
- Sustainability and ESG readiness with end-to-end visibility and reporting
- Growth through scalable, flexible operating models to optimize supply chain solutions
End-to-end AI-enabled value chain
Ready to build a future ready supply chain
AI-first supply chain control tower
At the core of our offering is an AI-driven supply chain control tower that acts as the nervous system of the enterprise, with key capabilities such as:
- Real-time, end-to-end supply chain visibility across ERP, WMS, TMS, partners, and IoT
- Predictive and prescriptive intelligence powered by generative and agentic AI
- Closed-loop orchestration that moves from detection to decision and further to execution
- Human-in-the-loop governance with bounded autonomy and policy controls
The Infosys accelerators
- Infosys Topaz™ AI-first platform with embedded GenAI and agentic AI
- Supply chain AI accelerators for planning, logistics, and service operations
- Industry-specific reference architectures and playbooks
- Deep partnerships across planning, execution, cloud, and data platforms
Why choose us for supply chain managed services?
AI-first approach
Drive intelligent, predictive, and autonomous supply chains using Infosys Topaz™ and Gen AI
End-to-end coverage
Comprehensive managed services across plan, source, make, deliver, and service phases
Proven scale & expertise
Decades of experience delivering measurable outcomes
Industry leadership
Recognized as a Leader by ISG, HFS, and Everest for supply chain transformation and managed services
Innovation & ecosystem strength
Proprietary platforms such as TradeEdge and strong partnerships with market leaders in technology solutions
Sustainability focus
Solutions aligned to ESG goals and scope 3 compliance for greener, resilient supply chains
In-house vs managed supply chain operations
Dimension |
In-house operations |
Infosys BPM supply chain managed services |
| Technology | Periodic upgrades, capital cost | AI-first platform, Topaz AI, continuously updated |
| Visibility | Fragmented, reactive | Real-time control-tower orchestration |
| Scalability | Fixed capacity | Elastic, managed capacity across the value chain |
| Decision-making | Manual, lagging | Predictive and autonomous, generative and agentic AI |
| Outcome model | Effort-based | Outcome and SLA-based managed services |
Insights
Success stories
Bringing values to businesses through our products and services
Case Study
Case Study
Our offerings
Discover service and solutions for supply chain management
Challenges & solution - supply chain management services
Supply chain managed services cover the end-to-end operation of supply chain processes as a managed engagement: demand and supply planning, sourcing, inventory and fulfilment, logistics, returns, and aftermarket service. Delivered on an outcome or SLA basis, they combine skilled operations teams with an AI-first platform and control-tower visibility, so enterprises run a resilient supply chain without building and maintaining the capability in house.
Traditional outsourcing hands over discrete tasks for cost savings. Managed services take accountability for outcomes across the value chain, planning, fulfilment, and service, under defined SLAs, with a continuously updated AI platform and real-time control-tower visibility. The shift is from labour arbitrage to autonomous, predictive operations, so the enterprise buys resilience and decisions, not just execution capacity.
Evaluate end-to-end coverage across planning, fulfilment, and service; the maturity of the partner's AI and control-tower capability; and proven, quantified outcomes. Assess the commercial model (outcome and SLA-based versus effort-based), industry depth, and named platforms and accelerators. The strongest partners orchestrate the whole value chain autonomously rather than running isolated processes.
A control tower gives real-time, end-to-end visibility and turns it into action. By combining live data with predictive and generative AI, it anticipates disruption, recommends or executes responses, and coordinates planning, fulfilment, and service in one view. The result is fewer stockouts, faster recovery from disruption, and decisions made proactively rather than after the fact.
Resilience comes from visibility, prediction, and elastic capacity. Managed services provide continuous monitoring, AI-driven scenario planning, and the ability to scale operations up or down without capital investment. By combining autonomous decision-making with managed execution across the value chain, enterprises absorb demand volatility and supply shocks that would overwhelm fixed, in-house operations.
AI is applied end-to-end: demand forecasting and network design in planning; inbound, outbound, and warehouse optimisation in fulfilment; and warranty, field-service, and returns intelligence in service. Generative and agentic AI move operations from reactive to predictive and autonomous, compounding value as models learn from execution data across the value chain.
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Transform your supply chain with AI powered, autonomous operations that improve resilience, reduce cost to serve, and unlock sustainable growth.
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